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Infrastructure Engineer
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About Us
DriveWealth is on a mission to make investing easier. We believe that everyone should have the ability to control their financial future, and that access to financial markets should not be limited by geography, wealth, or legacy systems. We are a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. Our mission is realized through an API-based platform, empowering our partners to offer seamless investing and trading experiences to clients worldwide, all from their mobile devices. Our technology provides partners with a modern, extensible toolkit, enabling traditional investment workflows and innovative techniques like fractional share ownership. DriveWealth has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options.
There’s never been a better time to build a category-defining business and there has rarely been a team better positioned for this opportunity. Our culture blends the pace and agility of a fintech start-up with the impact, stability, and discipline of Wall Street. We encourage creativity and experimentation while ensuring institutional-grade execution and regulatory compliance in everything we do. Join us and help build the future of global investing!
About the Role
As a seasoned Infrastructure Engineer, you will design, manage, and scale our high-performance computing environments. This role bridges the gap between traditional system
administration and modern platform engineering, focusing on reliability, automation, and the stringent security requirements of the financial services industry. You will be responsible for a
hybrid ecosystem that spans AWS cloud and on-premise systems, ensuring 99.99% uptime for mission-critical services and transactions.
What You’ll Do
- Linux Systems Engineering: Design and manage high-performance Linux environments including Ubuntu, RHEL, or Amazon Linux. Focus on tuning for low- latency financial applications and system-level hardening
- Infrastructure as Code (IaC): Architect and maintain scalable cloud infrastructure using Terraform and Ansible, treating infrastructure as a software project with version control
and peer reviews - Hybrid Networking: Manage connectivity between cloud environments and on-premise systems, focusing on secure VPC design, VPNs, and routing
- On-Premise Management: Manage physical switches, routers, and firewalls, with an understanding of multicast, VLANs, and interface aggregation
- CI/CD & Release Engineering: Build and optimize deployment pipelines to ensure system updates, patches, and application code are deployed safely and frequently
- Observability & Reliability: Implement comprehensive monitoring (using Prometheus, Loki, and Grafana) to track system SLIs/SLOs and implement automated alerting or self-
healing scripts - Container Platform Management: Support and scale Docker / Podman environments, focusing on pod networking and container runtimes
- Infrastructure Security: Implement "shift-left" security, including OS-level hardening (SELinux, AppArmor), automated vulnerability scanning, and IAM policy refinement
What You’ll Need
- Education: Bachelor’s degree in Computer Science, Engineering, IT, or a related field
- Systems Expertise: 3+ years of experience in Linux Administration or Infrastructure Engineering
- System Internals: Deep knowledge of system performance profiling (e.g., top, iostat, strace) and comfort with Linux system fundamentals (i.e. Systemd, LVM, and Cron)
- Automation Proficiency: Strong proficiency in Ansible and Terraform for infrastructure and system automation. Bash and/or Python experience for custom tooling as required
- Cloud & Networking Fundamentals: Hands-on experience with AWS Networking fundamentals (VPCs, Routing Tables, and Nat Gateways). Solid understanding of TCP/IP, DNS, and routing protocols like BGP or OSPF
- Container Runtime: Experience with container runtimes in a Production environment (Docker / Podman, Docker Compose). Kubernetes experience is a plus
- Problem Solving: Ability to perform root-cause analysis on complex distributed systems
Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.
Special Knowledge (Nice to Have, But Not Required)
- Compliance Knowledge: Experience working within regulated environments such as SOC2, or FINRA
- High-Availability Architecture: Experience building multi-region, failover-capable architectures for mission-critical financial transactions
- SDLC Architecture: Architecting deployment pipelines using GitHub actions, familiarity with AWS Secrets Manager for managing sensitive secrets, and other DevOps toolchain
services - Fintech Protocols: Basic understanding of financial messaging or low-latency requirements, such as FIX protocol
- Security & Application Tuning: Experience with WAF, DDoS mitigation strategies, and tuning edge application services such as HAProxy
- Certifications: CompTIA Linux+, RHCSA/RHCE, or AWS SysOps Administrator
Compensation
Compensation package offerings are based on candidate experience and technical qualifications, as it relates to the role. These are identified and determined throughout your interviewing experience.
Please note: this role is expected to come into our office on a cadence set by the Hiring Manager/Team.
Working at DriveWealth
We do our best work when we’re in the same room. To maintain the speed our partners expect, our New York and Chicago teams work in-office 4 days a week. We’ve found that being physically side-by-side is the only way to solve complex problems in real-time and stay truly accountable to the products we ship. When you’re here, you’re working directly with the people making the decisions. To support that work, we provide competitive compensation, equity, and a 401(k) match. We also offer full insurance coverage, a wellness reimbursement, a company-provided phone, and a personal development allowance. Finally, we value the time you spend away from the office with generous PTO, observed holidays, and extended leave.
Work Authorization
Applicants must possess the legal right to work in the country where the position is located at the time of application. DriveWealth requires all employees to provide original documentation verifying their work authorization on or before their first day of employment.
For US-based roles: Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship. DriveWealth does not provide visa sponsorship or support for employment authorization, including transfers, at this time. Offers of employment are strictly contingent upon an individual’s ability to secure and maintain the legal right to work at the Company.
How We Think About AI
We leverage AI to work smarter and move faster. We seek AI-curious talent who are proactive about using emerging tools to increase signal quality, reduce friction, and improve outcomes to deliver products faster, provide better service to our partners, and to streamline processes. Your ability to leverage our internal tools and technology to drive results is as important to us as your core domain expertise.
Compensation
Pay is generally based on the level, complexity, responsibility, location, and job duties/requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience. If you are selected for an interview, please feel welcome to speak to a recruiter about our compensation philosophy and other available benefits. This role is eligible for base, bonus, equity, 401(k) match, and heavily subsidized benefits and perks.
Equal Employment Opportunity
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply.
Agency Disclaimer
DriveWealth does not accept agency resumes. Do not forward resumes to our jobs alias, employees, or any other organization location. DriveWealth is not responsible for any fees related to unsolicited resumes.
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Immigration / Work Authorization Notice: At this time, iSpot does not provide visa sponsorship or immigration support for this role. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.
iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.
What You’ll Be Part Of
At iSpot.tv, we deal with BIG data, operating in a high-scale AWS environment with thousands of servers processing massive streams of media metadata. As a Senior SDE, you are a foundational pillar of our engineering team. You don't just write code; you own entire domains, drive scalable solutions, and act as a "go-to" expert.
We are currently looking for an AI-native engineer—someone who views AI not as a novelty, but as a core component of their development lifecycle—to help lead our mission-critical data evolution, including our strategic migration from Redshift to Snowflake.
Your Impact
1. Technical Excellence & Domain Ownership
- Coding & Debugging: You will design domains with testability and multiple teams in mind, creating extensible and shareable codebases. You are expected to provide prescriptive code reviews that suggest more acceptable code patterns and contribute to company-wide style guidelines.
- System Modernization: You will lead efforts to upgrade legacy systems, refactoring technical debt into scalable, modern architectures, including x-region database migrations and moving to EKS.
- Quality & Release: You will maintain a high standard of quality, setting the example for the team. This involves developing the architecture for our automation systems and expertly debugging complex issues within the CI/CD pipeline. You will be responsible for implementing secure deployment strategies, especially for large-scale, high-risk projects.
2. AI-Driven Productivity & Innovation
- AI-First Mindset: You are expected to be "AI-native." You will actively explore and learn about AI technologies that enhance the efficiency of the entire team’s work.
- Leading Adoption: You don't just use AI; you "create space" for teammates to improve their AI tooling through pairing, providing demos, and writing documentation.
- Creative Problem Solving: You are a pioneer in critical technologies, bringing creative solutions to complex, large-scale projects and ensuring your contributions can be extended far into the future.
3. Operational Excellence & Data Strategy
- Data-Driven RCA: You will propose and implement viable domain measurement solutions. You’ll play a lead role in researching external solutions and leading root cause analysis (RCA) for complex, multi-domain incidents.
- Operational Efficiency & Toil Reduction: You are expected to proactively improve the current state of operations by identifying and reducing toil. You will apply a "Platform Engineering" mindset to automate repetitive manual tasks, ensuring the team remains focused on high-value engineering.
- Scalability & Influence: You will build internal networks to improve organizational speed and the quality of technology solutions, removing obstacles for the team as they arise. You are the "go-to" person for the team, identifying trends and introducing broad solutions to address systemic issues.
- Cost-Conscious Engineering: You will drive a mature cost-optimization strategy, ensuring that architectural decisions and cloud resource utilization are both performant and cost-efficient. You are expected to balance technical excellence with business value, treating cost-consciousness as a core pillar of system reliability.
4. Leadership & Collaboration
- Strategic Alignment: You routinely work cross-functionally to align partners and stakeholders with the project vision and strategy.
- Mentorship: You mentor less experienced team members, ensuring your communication promotes clarity and inspires action. You onboard and coach other engineers in adopting an AI-first mindset, focusing on low-risk strategies.
- Conflict Resolution: You are adept at handling personal conflicts within the team and navigating ambiguity to reach strategic milestones.
What You Bring
- Experience: Significant experience developing software for shareable features across multiple engineering projects. Experience leading small-to-mid-sized technical initiatives is required.
- Architectural Leadership: Proven ability to make high-level architectural decisions, including redesigning legacy services to ensure they are highly reliable and operable. You follow industry best practices for high-availability API design and the streamlining of complex database operations.
- Platform Engineering: Hands-on experience with Platform Engineering principles, focusing on internal developer experience, infrastructure abstraction, and building self-service capabilities for engineering teams.
- Cloud Native: Expert knowledge of AWS (S3, Lambda, EC2, IAM).
- Tech Required: Java, Spring Boot, MySQL, RabbitMQ (or similar message broker), Kubernetes/EKS, Docker, CI/CD pipelines.
- Tech Preferred: Redshift, Helm, Terraform, Gradle, Groovy.
- Bonus: Proven experience or a deep architectural understanding of migrating data workloads from Redshift to Snowflake.
- AI Native: Experience using AI coding assistants and LLMs to accelerate development (e.g., Kiro, Gemini, Copilot, Cursor, or similar).
- Soft Skills: Strong communication skills with the ability to tailor messaging to different audiences (from junior devs to senior leadership). Excellent problem-solving and analytical skills.
Preferred Qualifications
- Experience in Ad-Tech or high-throughput "Big Data" processing environments.
- Experience with Infrastructure as Code (Terraform) and CI/CD concepts (CircleCI).
A track record of identifying trends in incidents and introducing broad solutions to address them.
Target cash compensation range: $136,100 - $170,000 USD Annually
We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
For more information on total rewards package, go HERE
Hybrid & Flexible Workplace Policy
iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.
Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.
#LI-Hybrid
If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!
iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.
California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.
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DevOps Engineer - Senior Vice President
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About the Role
The Platform Infrastructure team at iCapital plays a critical role in ensuring that both production and development environments operate smoothly, securely, and reliably. This role leverages advanced cloud capabilities to support the Platform Infrastructure strategy of market agility and lean operating principles, with a strong emphasis on quality to meet the ever‑growing demands of our clients.
We are seeking highly collaborative, creative, and intellectually curious MLOps/DevOps Engineers with deep expertise in machine learning operations, cloud infrastructure, CI/CD automation, Kubernetes, and security. This role requires hands‑on experience designing, building, and operating scalable DevOps and enterprise‑grade MLOps platforms, including model lifecycle automation, observability, and governance.
As a Platform Engineer, you will wear multiple hats in a highly visible role, partnering closely with engineering, security, data, and business teams to deliver secure, reliable, and highly automated platforms that support both application and machine‑learning workloads.
Responsibilities
- Design, build, and operate MLOps pipelines supporting the full ML lifecycle (training, validation, deployment, monitoring).
- Enable production workloads for AI/ML and Generative AI systems, including LLM‑based services.
- Develop and maintain CI/CD pipelines for AI/ML services and supporting infrastructure.
- Build and manage cloud‑native infrastructure on AWS, with heavy use of Kubernetes and containerized workloads.
- Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform).
- Implement model versioning, experiment tracking, and artifact management across environments.
- Ensure reliability, scalability, observability, and cost efficiency of AI platforms.
- Partner with AI/ML engineers to operationalize models and standardize deployment patterns.
- Implement monitoring and alerting for system health, model performance, and drift.
- Enforce security, compliance, and governance requirements for AI workloads.
- Participate in incident response, root cause analysis, and continuous improvement initiatives.
- Document standards, best practices, and reference architectures for MLOps and AI infrastructure.
Required Qualifications
- 15+ years of experience in DevOps, SRE, or Platform Engineering, with AWS as a primary cloud.
- Experience supporting machine learning systems in production, including deployment and monitoring concerns.
- Hands‑on experience with machine learning platforms, particularly AWS SageMaker (required).
- Strong hands-on experience with Kubernetes, containerized workloads, and cloud networking.
- Proven experience building and operating CI/CD pipelines (e.g., GitLab CI, ArgoCD).
- Strong proficiency with Terraform and scripting/programming in Python or similar languages.
- Solid Linux, systems, and troubleshooting fundamentals.
- Excellent communication skills and ability to work across teams.
- Direct experience with MLOps platforms and tooling (model registries, experiment tracking, feature stores).
- Exposure to Generative AI / LLM workloads in production environments.
- Familiarity with data stores commonly used in ML systems (e.g., Postgres, DynamoDB, object storage).
- Experience operating in regulated or fintech environments.
- Background in cost optimization for compute‑intensive workloads.
- Strong written and verbal communication skills.
- AWS certifications are a plus.
Benefits
The base salary range for this role is $180,000 to $230,000 depending on experience. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics
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Staff Infrastructure Engineer, Cluster Infrastructure
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.
Key responsibilities
- Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
- Partner across teams to ensure new compute capacity is ingested on time
- Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
- Collaborate with security owners to ensure clusters are provisioned secure-by-default
- Define and drive strategy on cluster scalability, homogeneity and fault tolerance
- Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
- Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
- Support the growth of engineers around you through technical mentorship and coaching
Minimum qualifications
- Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
- Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
- Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
- Ability to build alignment across senior stakeholders and communicate effectively at all levels
Preferred qualifications
- 8+ years of software engineering experience, including time as a technical lead setting direction for a team
- Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
- Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
- Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
- Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
- Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
- Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
- Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
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Data Engineer
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Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
About the Role:
As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.
This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.
What You'll Do:
- Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
- Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
- Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
- Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
- Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
- Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
- Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.
What We're Looking For:
- 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
- Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
- Hands-on experience with:
- Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
- Data Transformation: dbt
- Orchestration & ETL: Airflow, Fivetran, Airbyte
- Cloud Platform: AWS
- Programming/Ingestion: Python
- Infrastructure as Code: Terraform
- AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
- A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
- Excellent communication skills and experience working cross-functionally.
- Self-starter with the ability to self-project manage work
- A user focus with the ability to understand how a data consumer will use the data products you build
Bonus Points (Nice-to-Haves)
- Experience building semantic models for natural language querying
- Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
- Experience building visualizations and dashboards in tools like Tableau, Retool, or Thoughtspot.
Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Notice here.
UK Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
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About the Role
We’re looking for a Director of Engineering to lead our Intelligent Messaging group—one of the most critical and high-impact areas at Attentive. This team powers the systems behind billions of personalized messages (SMS, email, push) sent every month, helping the world’s leading brands connect with consumers in smarter, more meaningful ways.
At the core of this is AI, machine learning, and real-time data. This allows us to drive personalization at massive scale - turning every message into an opportunity to engage, convert, and build long-term customer relationships.
In this role, you’ll lead multiple teams and play a key role in defining how AI shapes the future of messaging at Attentive. You’ll partner closely with Product and Engineering leadership to build and scale systems that are fast, reliable, and deeply intelligent. You’ll stay close to the work - guiding architecture, unblocking complex problems, and stepping in when it matters - while also building strong teams and developing great managers.
This is a role for someone who likes to operate deep in the systems, close to the people, and aligned with the business. You’ll own the technical direction of a high-scale, high-uptime platform and help us push what’s possible as we continue to grow.
This is a hybrid role based in NYC, with occasional travel to our SF office.
What You’ll Accomplish
- You’ll own the delivery of cutting-edge, AI-powered consumer messaging experiences used by millions
- You’ll manage and evolve a multi-team organization, build on our great culture, and set a high bar for engineering excellence
- You'll oversee the technical strategy in multiple domains, supporting various layers of our messaging applications by using existing and emerging technology platforms
- You’ll accelerate our engineering velocity using cutting-edge agentic and LLM tooling, while successfully managing safety and stability
- You’lll collaborate with product, ML, design, and data science to shape the roadmap - not just execute on it
- You’ll work directly with partner teams and stakeholders in the platform, go-to-market, and customer success organizations
Your Expertise
- Above all else, you are technical and love to dive deep to understand architecture, code, and infrastructure. This is the most critical attribute for success at Attentive.
- You have 10+ years of industry experience, including managing teams of 30+ engineers, and at least 2 years managing managers. From a technical perspective, you have 8+ years of experience in software engineering roles, ideally reaching staff level as an individual contributor.
- You embrace agentic workflows, and understand the benefits, complexity and risks of the fast-moving AI ecosystem
- You care about software quality and have a track record of building reliable, high-uptime systems, particularly in data-intensive environments
- You’re comfortable operating in fast-moving, high growth environments, translating business needs into the right levels of implementation
What We Use
- Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS
- Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm
- Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
- Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:
- The US base salary range for this full-time position is $250,000 - $350,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
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Head of Partner Delivery Success
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About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
As Head of Partner Success at Parloa, you own the quality, scalability, and operational success of partner-delivered implementations. Your mission is to build and lead a high-performing Partner Success organization that ensures every partner-led deployment meets the same quality, reliability, and customer impact standards as Parloa-led projects.
You define how Parloa scales delivery through partners without compromising technical excellence or customer outcomes. This means establishing the operating model for partner implementation oversight, building strong enablement and governance frameworks, and ensuring that partners consistently deliver high-quality AI solutions on the Parloa platform.
Partner Success is the bridge between Partnerships, Professional Services, and Product. As Head of Partner Success, you ensure that partner scale strengthens the Parloa ecosystem.
Areas of ownership:
- Build the Global Partner Success Operating Model: Design and scale the Partner Success organization across regions, including TPM, Agent Architect, and Forward Deployed Engineer roles embedded within the partnership motion. Establish clear governance models, engagement rules, and escalation frameworks that ensure partner-delivered implementations meet Parloa’s quality bar.
- Ensure Quality and Predictability in Partner-Led Delivery: Own delivery health across all partner-executed projects. Implement quality gates, readiness assessments, and technical architecture reviews to ensure partners deploy the Parloa platform correctly and consistently. Ensure go-live readiness and production stability across all partner implementations.
- Build and Develop a High-Performance Organization: Hire, coach, and develop the Partner Success team across regions. Build leadership capacity and clear growth paths for TPMs, Agent Architects, and FDEs. Establish strong accountability frameworks while maintaining a culture focused on technical excellence, collaboration, and partner enablement.
- Drive Partner Enablement and Capability Development: Work with cross-functional teams to create structured enablement programs that accelerate partner readiness and technical capability. Ensure programs emphasize best practices for agent design, platform integrations, and project delivery methodologies. Track partner capability maturity and ensure partners are prepared to lead implementations independently over time.
- Ensure Technical and Implementation Standard Compliance for Partners: Ensure consistency across partner-built solutions and reduce implementation variability across the ecosystem.
- Strengthen Partner and Executive Relationships: Serve as the executive technical counterpart to strategic implementation partners. Build trust with partner leadership and ensure strong alignment between Parloa delivery standards and partner implementation practices.
- Create Scalable Feedback Loops Between Partners and Product: Translate field insights from partner implementations into structured product feedback. Identify recurring implementation patterns and advocate for product improvements that reduce complexity and increase partner self-sufficiency.
- Own Partner Performance Metrics and Ecosystem Health: Define and track partner performance metrics such as implementation quality, delivery timelines, QA pass rates, and partner NPS. Establish reporting cadences with executive leadership and drive continuous improvement across the partner ecosystem.
Our Technology Stack: TypeScript, Node.js, Python, Microsoft Azure, Kubernetes, Terraform, ArgoCD, MongoDB
Who you are:
- Experience level: 10 to 15+ years in enterprise SaaS, AI platforms, professional services, or partner delivery roles with meaningful production responsibility.
- People leadership: 5+ years leading technical delivery, professional services, or partner success organizations, ideally leaders-of-leaders. Proven experience building high-performing teams and scaling operational capacity across regions.
- Organizational leadership: Experience designing and scaling partner delivery models or ecosystem support functions. Ability to build processes, frameworks, and governance structures that enable partners to deliver at enterprise scale.
- Partner Ecosystem Experience: Deep experience working with system integrators, implementation partners, or consulting firms. Strong understanding of partner enablement, certification programs, and partner performance management.
- Enterprise Delivery Track Record: Demonstrated success overseeing complex enterprise deployments involving multiple stakeholders and delivery teams. Experience managing both direct and partner-led implementation programs.
- Technical Breadth and Platform Understanding: Strong understanding of enterprise software architectures, integrations, and cloud-based platforms. Ability to engage credibly with technical teams on AI systems, integrations, and enterprise platform deployments.
- Strategic product thinking: Ability to identify patterns across partner implementations and translate them into product improvements or platform capabilities. Strong intuition for what should be standardized versus left flexible for partners.
- Operational excellence: Strong planning, prioritization, and risk management capabilities. Ability to build scalable processes that maintain quality without introducing unnecessary operational overhead.
- Executive presence: Confident communicator with the ability to engage partner executives, technical leaders, and internal stakeholders. Comfortable representing Parloa in executive discussions around delivery, partner performance, and ecosystem strategy.
- Strong plus: AI / LLM-based systems and conversational AI platforms, Telephony and contact center infrastructure (PSTN, SIP), Partner-driven enterprise software ecosystems, Scaling global system integrator relationships
Our recruiting process:
TA Screen → Hiring Manager Call → Technical Interview(s) → Bar Raiser
Comp Range Includes OTE
Why Parloa?
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Ready to apply?
Apply to Parloa
About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services.
Areas of ownership:
- Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
- Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
- Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
- Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
- Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
- Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
- Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
- Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.
Who you are:
- 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
- A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
- Proficiency in at least one scripting or programming language like Python, Go, or Bash.
- Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
- Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
- Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
- A strong background in Infrastructure as Code (Terraform is highly preferred).
- Experience building self-service tools and platforms that empower specific development teams.
Our recruiting process:
TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser
Salary ranges includes OTE
Why Parloa?
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Ready to apply?
Apply to Parloa
About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the Role:
As our Deployment Strategist, you will drive AI transformation at Global 2000 enterprises as the “Field CPO” for Parloa’s most strategic customers. You will own the bridge between customer outcomes and product reality, translating business needs into deployable product capabilities for customers like Booking.com, Allianz, Decathlon, and TUI.
Areas of Ownership:
- Land big clients (Global 2000 with complex, off-roadmap needs) and ensure their AI transformation succeeds.
- Manage stakeholders across business and tech (CEO, COO, CIO, CTO, VP Support), owning deployment from value thesis through production to expansion.
- Translate customer needs into product capabilities (not one-off customizations) that become reusable platform features.
- Build prototypes, make product changes, and create business plans hands-on - execution over PowerPoints.
- Represent customers to Parloa Product and represent Parloa Product to customers, bridging both worlds.
- Navigate ambiguity in agentic AI workflows, ROI models, and change management where no playbook exists yet.
- Own hard conversations: tradeoffs, “no,” re-scoping, and timeline realism with strategic accounts.
- Influence without authority across Product, Engineering, Sales, and Customer Success to drive outcomes.
- Feed validated learnings to product roadmap, turning customer work into platform capabilities that compound.
Who you are:
- 7-12 years of experience in enterprise software (solution architecture, product, or consulting) with a proven track record of customer-facing delivery.
- “Field CPO” mentality: ability to translate customer outcomes into product reality and vice versa.
- Business + tech stakeholder leadership: presented to C-suite across business and tech functions, demonstrated value, and ensured solutions make business sense.
- Product thinking: built client-specific roadmaps aligned with platform strategy.
- Architectural credibility: scoped off-platform features, assessed feasibility, and ensured supportability.
- Influence without authority: led cross-functional teams (Product, Eng, Sales, CS) without direct reports.
- Adaptability: comfortable being uncomfortable, willing to learn, operates in ambiguity.
- Hands-on execution: gets hands dirty - built prototypes, made product changes directly, created business plans. Not just an advisor.
Nice-to-have:
- Industry diversity: experience in travel, fintech, insurance, retail, healthcare, telecom, or enterprise software - we’re building a team with a broad industry perspective.
- Industry-changing companies: worked at companies that transformed their industry (Booking.com, Decathlon, N26, Deel, Stripe, Uber, Airbnb).
- Hypergrowth experience: thrived in fast-scaling environments (e.g., 25 to 1500 people).
- Background as Palantir Deployment Strategist, AWS/GCP Solutions Architect, or product roles at hypergrowth tech.
- Tech stack: architectural understanding of Python, TypeScript, Terraform, K8s, Azure/AWS.
- AI/ML: LLM pipelines, agentic AI deployment, prompt engineering.
- Learning loop: created reusable patterns from custom work, fed learnings to product.
Your Recruiting Process at Parloa:
TA Screen → Hiring Manager Call → Case Study (take-home) → Case Study Presentation → Bar Raiser Interview
Salary Ranges include OTE
Why Parloa?
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Ready to apply?
Apply to Parloa
Senior/Lead Forward Deployed Engineer - US
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About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
As a Senior/Lead Forward Deployed Engineer (SFDE) at Parloa, you’ll be on the front lines of enterprise AI adoption - delivering cutting-edge technology into some of the most complex environments in the world. Your mission: lead end-to-end deployment projects from an engineering perspective - not just implementing what exists, but engineering what’s required to make it succeed at enterprise scale.
FDEs are our in-field product engineers. You will build what doesn’t yet exist, adapt architecture to enterprise realities, and engineer integrations across systems and APIs to make deployments successful. Your work is hands-on and code-first - you’ll be building, debugging, and engineering solutions directly in the field. What you ship not only makes deployments succeed, it also defines how customers experience Parloa and shapes what our product becomes.
This is not about maintenance. This is about engineering what makes it work in production, under real-world enterprise constraints, at speed and scale
Areas of ownership:
- Own deployment engineering projects: Lead the technical execution (incl. product engineering) of Parloa’s deployments inside large, complex enterprise environments
- Design for scale and resilience: Architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security
- Engineer solutions where none exist: Build custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements
- Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery
- Partner with enterprise teams: Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes
- Guide and mentor others: Collaborate with and provide technical guidance to more junior in-field engineers
- Influence at senior levels: Engage with enterprise architects and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility
- Debug under pressure: Rapidly unblock issues in mission-critical environments and ensure customer success.
- Shape the product: Act as the feedback loop between the field and our core engineering teams - turning deployment learnings into platform evolution
- Deliver long-term impact: Work closely with Deployment Strategists to ensure scalable architectures and durable customer value
Our Technology Stack: Python,TypeScript, Node.js, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP
Who you are:
- 7+ years of professional experience in software engineering, systems integration, DevOps, or data engineering roles with direct customer impact
- Proven track record of leading deep technical deployments and integrations in large-scale enterprise environments
- Strong technical depth across backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases - with proven experience in systems design and the ability to go hands-on in production systems
- Ability to operate independently in ambiguous, high-responsibility settings, especially when deploying live to enterprise systems
- A builder’s mindset with bias for action, creativity under pressure, and an obsession with making things work in the real world
- Degree in Computer Science, Engineering, or related technical field
- Strong plus: Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration)
Our recruiting process:
TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser
Salary ranges include OTE
Why Parloa?
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Ready to apply?
Apply to Parloa
Team Lead, Site Reliability Engineering - Storage Layer Service
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MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.
As the Lead Site Reliability Engineer for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
Responsibilities
- Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
- Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
- Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
- Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations
You may be a good fit if you
- Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
- Possess a customer-focused mindset, treating internal developers as your primary users
- Value efficiency in processes and operations, and have a track record of optimizing team workflows
- Prefer automation over manual processes, fostering a culture of building software solutions to eliminate toil
- Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
- Have operated or supported stateful storage or database systems at scale and are comfortable with durability, consistency and recovery trade-offs
- Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
- Have a high level of empathy, responsibility, ownership, and accountability
- Excellent verbal and written technical communication skills
Strong candidates may also have experience with
- Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
- Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
- Designing secure, multi-tenant runtime environments at scale
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273396229
Ready to apply?
Apply to MongoDB
Team Lead, Site Reliability Engineering - Storage Layer Service
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MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.
As the Lead Site Reliability Engineer for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.
We are looking to speak to candidates who are based in New York City for our hybrid working model.
Responsibilities
- Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
- Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
- Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
- Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations
You may be a good fit if you
- Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
- Possess a customer-focused mindset, treating internal developers as your primary users
- Value efficiency in processes and operations, and have a track record of optimizing team workflows
- Prefer automation over manual processes, fostering a culture of building software solutions to eliminate toil
- Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
- Have operated or supported stateful storage or database systems at scale and are comfortable with durability, consistency and recovery trade-offs
- Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
- Have a high level of empathy, responsibility, ownership, and accountability
- Excellent verbal and written technical communication skills
Strong candidates may also have experience with
- Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
- Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
- Designing secure, multi-tenant runtime environments at scale
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1273396229
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Security Software Engineer, Infrastructure Security (Staff or Senior)
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We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.
The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.
This role can be based out of our Dublin office, or work fully remotely in Ireland.
Responsibilities:
- Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
- Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
- Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
- Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
- Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
- Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services
Qualifications:
You might be a great fit if you match some of the following:
- 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
- Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
- A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
- Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
- Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
- Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
- A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
- Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 426183
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We are looking for an IAM & Security Engineer 3 to join our Enterprise Security (IAMSEC) team. In this role, you will help design, implement, and operate identity, access, and endpoint security solutions at scale. You’ll work closely with senior IAM engineers, Cloud Security, and IT teams to improve our IAM posture, automate routine operations, and support key compliance initiatives such as FedRAMP High.
We are looking to speak to candidates who are based on the East Coast of the US for our hybrid working model.
Responsibilities
- Operate and enhance IAM platforms, including Okta, AWS IAM, GCP IAM, and Azure AD, helping to ensure secure, least-privilege, and scalable access models for employees and service accounts.
- Need to be a US Citizen
- Implement and support SSO integrations (SAML, OIDC, OAuth2) and MFA enforcement for internal and third-party applications.
- Help maintain and improve RBAC models, groups, and policies, ensuring access is consistent with business needs and audit requirements.
- Contribute to the identity lifecycle (provisioning, deprovisioning, access changes, and just-in-time access) using automation (Terraform/OpenTofu, Python, Tines) to reduce manual effort and errors.
- Assist with hardening non-human identities (service accounts, workloads, automation identities, agentic AI systems), focusing on least-privilege and proper key/secret management.
- Collaborate with senior engineers to support FedRAMP High and other regulatory/compliance programs by implementing and operating required IAM and endpoint controls, and helping prepare evidence for audits.
- Integrate IAM and endpoint events into Datadog (or similar tools) to improve visibility, alerts, and investigations around authentication and access activity.
- Partner with teams operating MDM platforms (Jamf, Workspace ONE, Kolide) to ensure device posture is reflected in IAM policies where applicable.
- Create and maintain documentation and runbooks for IAM workflows, automations, and on-call procedures.
- Participate in the IAMSEC team’s on-call rotation for production incidents impacting identity, access, or FedRAMP-scoped services, with guidance from senior team members.
Requirements
- 3–5 years of experience in Identity & Access Management, Security Engineering, or Cloud Security roles.
- Hands-on experience administering and securing Okta for workforce identity (groups, policies, app integrations, MFA).
- Practical experience working with IAM in at least one major cloud provider (AWS IAM strongly preferred; GCP IAM or Azure AD a plus).
- Good understanding of authentication and authorization standards, including OAuth2, OIDC, SAML, and modern MFA approaches.
- Exposure to FedRAMP High or Moderate, or similar U.S. public-sector frameworks (e.g., FISMA, StateRAMP), and an interest in deepening expertise in NIST 800‑53, ATO processes, and POA&M management.
- Experience implementing or supporting RBAC models, group/role structures, and access reviews in a mid-to-large enterprise.
- Experience with scripting or programming (e.g., Python, Bash) to automate repetitive IAM or security tasks.
- Familiarity with Infrastructure as Code (Terraform/OpenTofu, CloudFormation) and a willingness to grow into owning IAM-related IaC modules.
- Experience with observability or SIEM tools such as Datadog (or similar) for working with logs, alerts, and dashboards.
- Strong problem-solving skills, attention to detail, and the ability to follow and improve documented processes.
- Comfortable collaborating in a remote, distributed team, communicating clearly in writing, and asking for help or clarification when needed.
Nice to Have
- Experience designing or operating phishing-resistant authentication (e.g., WebAuthn, FIDO2, YubiKey).
- Experience with identity governance and administration (IGA) platforms or structured access review / certification processes.
- Experience with Zero Trust concepts and integrating device posture into access policies.
- Exposure to MDM platforms (Jamf, Workspace ONE, Kolide) and endpoint baselines.
- Familiarity with Tines or other low-code automation tools for security workflows.
- Industry certifications such as Okta Certified Administrator, AWS Associate/Professional, or security certifications like Security+; interest in pursuing more advanced certifications over time.
Very Nice to Have
- Experience with Data Security Posture Management (DSPM) platforms, including discovering and classifying sensitive data across cloud and SaaS environments, correlating data sensitivity with identity and access controls, identifying overly permissive access or misconfigurations, and driving remediation aligned to least-privilege and regulatory requirements (e.g., GDPR, HIPAA, FedRAMP).
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1273371609
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Team Lead, Site Reliability Engineering - Fleet Management
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The Team
Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.
The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.
This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.
Responsibilities
- Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
- Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
- Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
- Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations
You may be a good fit if you:
- Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
- Possess a customer-focused mindset, treating internal developers as your primary users
- Value efficiency in processes and operations, and have a track record of optimizing team workflows
- Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
- Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
- Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
- Have a high level of empathy, responsibility, ownership, and accountability
- Excellent verbal and written technical communication skills
Strong candidates may also have experience with:
- Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
- Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
- Designing secure, multi-tenant runtime environments at scale
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 426152
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Senior Site Reliability Engineer, Fleet Management
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The Team
Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.
The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.
This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.
Responsibilities
- Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
- Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
- Participate in a 24/7 on-call rotation to resolve critical issues
- Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice
You may be a good fit if you
- Have 6+ years of experience in software development and operating distributed systems
- Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
- Have deep experience using and extending containerization technologies, preferably Kubernetes
- Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
- Possess a customer focused mindset, treating internal developers as your primary users
- Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
- Prefer automation over manual processes ("allergic to ops work")
- We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil
Strong candidates may also have experience with
- Designing and implementing secure, multi-tenant runtime environments from first principles
- Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
- Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
- Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
- Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 426182
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Site Reliability Engineer (Senior or Staff), Infrastructure Security
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We are looking for an experienced Senior or Staff Engineer for our SRE, InfraSec team, to guide the security of our cloud-based infrastructure. As a Staff SRE, you will be very hands-on technically while also mentoring a small team of SREs.
The InfraSec team collaborates closely with other engineering teams to ensure that our infrastructure adheres to the highest security standards. They build essential security infrastructure and implement controls that reinforce the platform’s security posture.
This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions.This team is deeply involved in the technical aspects of security and the nuances of its actual implementation.
This role can sit in our New York City, Austin, Seattle or San Francisco offices on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones.
Responsibilities:
Cloud Security Design and Implementation:
- Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)
Automation and Monitoring:
- Build automated solutions for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection
Security Tooling:
- Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM
Qualifications:
Experience:
- 6+ years of experience in SRE, infrastructure engineering or similar role, with a strong focus on security work, with ideally 2+ years in a senior or staff engineering role
Security Mindset:
- A comprehensive understanding of all facets of cloud environment security, spanning from foundational OS networking layers to cloud provider configurations. Proven experience in leading projects within security-focused areas, such as runtime scanning, security observability, CSPM, and more
Cloud Expertise:
- Strong experience with at least one cloud platform (AWS, Azure, GCP), including expertise in IAM, VPC networking, security groups, and cloud security tools (e.g., GuardDuty, Security Hub, CloudTrail)
Coding/Automation:
- Proficiency in at least one programming language (we use Golang but are language agnostic when it comes to hiring ) and experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible) to automate security configurations and processes
Linux and Networking
- Understanding of the underlying Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
Communication and Leadership Skills:
- Strong ability to explain complex security concepts to both technical and non-technical teams. Ability to lead a small technical team and ensure success both meeting the team goals as well as personal growth for all team members
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1263064630
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Security Software Engineer, Infrastructure Security (Staff or Senior)
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We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.
The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.
This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.
Responsibilities:
- Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
- Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
- Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
- Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
- Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
- Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services
Qualifications:
You might be a great fit if you match some of the following:
- 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
- Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
- A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
- Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
- Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
- Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
- A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
- Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 2263171228
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Senior Full Stack Software Developer
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About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
- Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
- Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
- Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
Location: Remote (For Non-Local) or Hybrid (Local to NYC area)
Position Summary:
Join our mission to transform our nation's healthcare system as a Senior Full-stack Software Developer. In this role you will assist in leading projects from design to delivery. Partner with product managers and designers to define requirements during discovery and planning. Collaborate with developers to deliver those requirements on time as new features or improvements to existing functionality.
Why You’ll Love Working Here
- We have a remote-first culture.
- You will make a tangible impact on society. Your code will directly improve healthcare experiences for millions.
- We are a late-stage startup with stability. We have startup energy with a focus on delivery, but healthy processes with a strong financial outlook that provides a sense of security.
Position Responsibilities
In this role, you’ll combine technical leadership with hands-on coding to build scalable, high-impact healthcare technology. You will:
- Exercise leadership over features from design to delivery.
- Be a partner to product, design, and quality assurance team members.
- Become a subject matter expert on your team’s products.
- Provide technical support to cross-functional team members and stakeholders.
- Expand Judi, our web-based enterprise health platform, using Python, AWS services, React/Typescript, and other technologies.
- Work in an Agile/Scrum environment.
- Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.
Preferred Qualifications
We’re looking for someone who brings a mix of technical expertise, problem-solving ability, and collaborative spirit:
- 7+ years of job-related experience.
- Desire to work at a health tech company.
- Strong Python (Flask / SQLAlchemy) and React / Typescript experience.
- Advanced PostgreSQL database knowledge (e.g., common table expressions, windowing functions, views, stored procedures, full-text or geospatial indexing).
- Experience with infrastructure as code using AWS, Terraform, or similar technologies.
- Experience writing unit and integration tests.
- Git expertise and experience working in a mono repo.
- Able to demonstrate agency, urgency, and ownership over delivering quality work.
- Strong written and verbal communication skills.
- Previous Pharmacy Benefits Manager (PBM) experience is a plus.
This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job.
All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
Ready to apply?
Apply to Judi Health
Senior Platform Developer
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About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
- Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
- Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
- Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
Location: Hybrid (Local to NYC area)
About the team
The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx’s Judi® platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams.
Position Summary:
We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We’re seeking a highly skilled and experienced Senior Platform Developer II to join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform.
You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security.
Position Responsibilities:
- Architect, implement, and maintain highly available, scalable, and secure platform & infrastructure
- Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform
- Write clean, efficient, and well-tested Python code for automation, tooling and service development.
- Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity.
- Administer and finetune container orchestration platforms such EKS and ECS.
- Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities.
- Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices.
- Lead efforts in defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards.
- Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability.
- Participate in on-call rotations to provide operational support and incident response.
- Champion Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives.
- Mentor junior developers and contribute to a culture of technical excellence and continuous improvement.
- Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency.
- Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows.
- Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services.
- Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.
Requirements
- 8+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer.
- Deep expertise in AWS infrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis
- Excellent proficiency with Terraform, Python, SQL, and automation tooling.
- Extensive experience with Docker and container orchestration (Kubernetes/EKS).
- Solid understanding and hands-on experience with SQL, database administration (PostgreSQL preferred), and performance tuning
- Experience with CI/CD systems (e.g., GoCD, GitHub Actions, Harness).
- Proven experience in automating Observability & Monitoring (Grafana, Kibana, Prometheus), standardizing incident response for alerts to maintain SLAs and SLOs
- Hands-on experience in environments compliant with FISMA, SOC 2, and/or FedRAMP.
- Background in building highly scalable, performant SaaS platforms.
- Excellent communication, collaboration and problem-solving skills.
- Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters.
- Strong experience in production on call rotations and responding to alerts.
This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job.
All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
Ready to apply?
Apply to Judi Health
Platform Developer
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About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
- Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
- Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
- Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
Location: Preferably Hybrid (Local to NYC area) or Remote (For Non-Local)
About the team
The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx’s Judi® platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams.
Position Summary:
We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We’re seeking a highly skilled and experienced Platform Developer to join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform.
You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security.
Position Responsibilities:
- Develop and support highly available, scalable, and secure platform & infrastructure
- Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform
- Write clean, efficient, and well-tested Python code for automation, tooling and service development.
- Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity.
- Administer and finetune container orchestration platforms such EKS and ECS.
- Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities.
- Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices.
- Contribute to defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards.
- Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability.
- Participate in on-call rotations to provide operational support and incident response.
- Adopt Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives.
- Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency.
- Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows.
- Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services.
Requirements
- 5+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer.
- Strong expertise in AWS infrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis
- Excellent proficiency with Terraform, Python, SQL, and automation tooling.
- Extensive experience with Docker and container orchestration (Kubernetes/EKS).
- Solid understanding and hands-on experience with SQL, database administration (PostgreSQL preferred), and performance tuning
- Experience with CI/CD systems (e.g., GoCD, GitHub Actions, Harness).
- Proven experience in automating Observability & Monitoring (Grafana, Kibana, Prometheus), standardizing incident response for alerts to maintain SLAs and SLOs
- Hands-on experience in environments compliant with FISMA, SOC 2, and/or FedRAMP.
- Background in building highly scalable, performant SaaS platforms.
- Excellent communication, collaboration and problem-solving skills.
- Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters.
- Strong experience in production on call rotations and responding to alerts.
This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job.
All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
Ready to apply?
Apply to Judi Health
Platform Developer - Network Architecture & Site Reliability
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About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
- Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
- Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
- Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
About the team
Join our team as a Platform Engineer focused on network architecture and site reliability. In this role, you will own the design and implementation of our cloud network architecture, ensuring our platform is resilient, secure, and scales effectively across multiple AWS accounts, environments, and regions. You'll architect solutions for complex networking challenges like hierarchical CIDR allocation across accounts and integrations, implement disaster recovery and regional redundancy strategies, and establish the reliability practices that keep our healthcare platform running. Working closely with leadership and cross-functional teams, you'll build the foundational infrastructure that supports our rapidly growing platform while ensuring we can handle failures gracefully and recover quickly.
Position Responsibilities:
In this role, you'll own critical infrastructure that ensures platform reliability and scalability. You will:
- Design network architecture: Architect and implement hierarchical CIDR allocation strategies across multiple AWS accounts, environments, and external integrations, ensuring proper subnet organization and IP address management.
- Build multi-region capabilities: Design and implement regional redundancy and multi-region failover strategies to support disaster recovery requirements and improve platform availability.
- Manage cloud networking: Own VPC design, subnets, routing tables, security groups, NACLs, VPC peering, Transit Gateway, and other AWS networking components across our infrastructure.
- Implement disaster recovery: Establish and regularly test disaster recovery procedures, backup strategies, and failover mechanisms to ensure business continuity.
- Evaluate multi-cloud solutions: Assess and prototype solutions across AWS, Azure, GCP, and Oracle Cloud to determine optimal approaches for specific use cases and integrations.
- Monitor platform health: Define and implement platform health indicators, SLIs, SLOs, and monitoring that provide early warning of infrastructure issues and track reliability improvements.
- Ensure security and compliance: Work with security teams to implement network security best practices, maintain compliance requirements (HIPAA, SOC2, FedRAMP), and conduct security reviews.
- Drive infrastructure reliability: Participate in on-call rotations, lead incident response for infrastructure issues, conduct postmortems, and implement improvements to prevent recurrence.
- Automate infrastructure management: Build infrastructure-as-code using Terraform to manage network resources, implement self-service capabilities, and ensure consistency across environments.
Requirements:
- 5+ years of infrastructure engineering, DevOps, or site reliability engineering experience.
- Experience leading projects or teams: Demonstrated ability to lead technical initiatives, drive architectural decisions, or mentor other engineers.
- Extensive AWS expertise: Deep production experience with VPC, subnets, routing, security groups, Transit Gateway, Direct Connect, Route 53, and other AWS networking services.
- Network architecture experience: Proven track record designing and implementing complex network architectures including CIDR planning, subnet design, and multi-account strategies.
- Disaster recovery expertise: Experience designing and testing disaster recovery procedures, backup strategies, and multi-region failover capabilities.
- Infrastructure as code: Strong experience with Terraform for managing cloud infrastructure at scale.
- Site reliability practices: Understanding of SLIs, SLOs, error budgets, incident management, and reliability engineering principles.
- Strong development skills: Proficiency in Python or similar languages for automation and tooling.
- Security mindset: Understanding of network security principles, encryption, IAM, and compliance requirements in regulated industries.
Preferred Qualifications:
- Multi-cloud experience: Hands-on experience with Azure, GCP, or Oracle Cloud networking and cross-cloud connectivity.
- Rust development experience or interest in learning Rust for infrastructure tooling.
- Advanced AWS certifications: AWS Solutions Architect Professional, AWS Advanced Networking, or similar certifications.
- Container networking: Experience with ECS, EKS, or Kubernetes networking, service mesh, and load balancing.
- Database networking: Understanding of database replication, Aurora Global Databases, and cross-region data synchronization.
- CDN and edge networking: Experience with CloudFront, edge locations, and content delivery optimization.
- Cost optimization: Track record of reducing infrastructure costs while maintaining or improving reliability.
- Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience.
All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
Ready to apply?
Apply to Judi Health
About the Role:
We are looking for a Staff DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation.
What you will do:
- Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments.
- Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS.
- Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment).
- Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others.
- Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA.
- Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests.
- Lead development of AI-powered operations tooling and agentic infrastructure.
- Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts.
- Mentor junior DevOps engineers and establish team-wide engineering standards.
What we are looking for:
- 7+ years of experience in DevOps, platform engineering, or site reliability engineering.
- Deep, hands-on experience with Kubernetes and the surrounding ecosystem - Helm, Helmfile, ArgoCD, Kyverno, cert-manager, and NGINX Ingress.
- Extensive experience with Google Cloud Platform - GKE, Cloud SQL, Memorystore, Cloud Storage, IAM, and Workload Identity.
- Strong Terraform expertise: modular architecture, multi-environment provisioning, and automated testing.
- Advanced knowledge of GitLab CI/CD and GitOps practices.
- Proficiency in Python and/or Go.
Plus:
- Advanced Bash scripting skills.
- Experience with secrets management solutions such as Akeyless or HashiCorp Vault.
- Experience with database administration across PostgreSQL, Redis, and MongoDB - including DR configuration and operational runbooks.
- Experience with Datadog or equivalent observability platform (APM, infrastructure, log management).
- Experience with Cloudflare for DNS, CDN, and security rules management.
- Demonstrated experience designing and executing disaster recovery programs, including failover testing and runbook authorship.
Bonus:
- Experience in highly regulated environments - SOC2 and HIPAA.
- Excellent communication skills with the ability to lead cross-functional infrastructure initiatives.
- Demonstrated leadership experience, including mentoring junior engineers.
- Experience with HPC or GPU cluster infrastructure, including Slurm..
- Experience building or operating AI agents or agentic infrastructure.
- Experience with microservices architecture and API gateway / reverse proxy patterns.
- Experience with AWS.
Benefits & Perks: #LI-Hybrid
- Hybrid work schedule with weekly lunches and stocked fridges
- Monthly social committees for company events
- 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days
- Stock options for every full-time employee
- Paid parental leave
- 401k benefit
- Commuter Benefits
- Competitive health, dental, and vision insurance options
Who We Are:
Behind every leading health system is K Health’s AI-powered virtual care engine.
Esteemed health systems like Mayo Clinic, Cedars-Sinai, Mass General Brigham, Hackensack Meridian Health, and Hartford Healthcare partner with K Health to build and run modern primary virtual care clinics on their behalf.
Our deeply integrated model modernizes the primary care loop by using AI to put humans first. For our patients, we offer clinical AI (i.e., PatientGPT) and unparalleled access to close care gaps around the clock. For our Providers, we deliver provider-serving agentic solutions (i.e., Perfect Note) to eliminate administrative overload and burnout. And for the health systems, we deploy our top-grade Virtualists in AI-powered virtual clinics 24/7 to capture the patients' care journeys at step one, retain the journey through the system for longitudinal care, and strengthen profitability.
We’re founded in 2016, headquartered in New York City, and backed by nearly $400 million from leading investors including Valor Equity Partners, Claure Group, Mangrove Capital Partners, 14W, Notable Capital, Lerer Hippeau, Primary Venture Partners, Comcast Ventures, PICO Venture Partners, Max Ventures, and other strategic healthcare partners.
We offer competitive compensation packages based on industry benchmarks for function, level, and geographic location. Offer amounts are determined by multiple factors such as a candidate's experience and expertise.
We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We’re deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users.
We are committed to maintaining the integrity of our hiring process and ensuring a safe environment for all candidates. All communication for job offers from K Health will come from email addresses ending in @khealth.com. K Health will never ask you to provide financial information about yourself during the recruitment process. We will never use personal email accounts or other domains for official correspondence. Our official job postings are only listed on our official website and reputable job boards. Be cautious of job offers from sources other than these platforms.
Ready to apply?
Apply to K Health
About the Role
The Onsite Customer Growth team builds the features that help Attentive’s customers grow directly on their websites. Our mission is to accelerate list growth and improve conversion by delivering creative, high performing onsite experiences powered by strong engineering and intelligent AI driven optimization.
What You’ll Accomplish
- Lead, mentor, and grow a high performing engineering team responsible for building the backend systems powering onsite customer growth products
- Set the technical vision and roadmap for backend services, APIs, and data driven systems that power personalized onsite experiences at scale
- Partner closely with AI, data, and product teams to develop intelligent capabilities that improve performance and user experience
- Ensure the reliability, scalability, and performance of the systems that support customer growth and real time user interactions
- Drive best practices in design discussions, code reviews, architecture decision making, and operational excellence
- Foster a learning oriented team culture that encourages collaboration, curiosity, ownership, and continuous improvement
- Own delivery of key product initiatives, balancing long term platform investments with near term business objectives
- Promote clean, maintainable, well tested code and high engineering standards across the team
Your Expertise
- 7+ years of professional backend software engineering experience, including at least two years managing or leading engineers
- Strong proficiency in one or more modern programming languages such as Java, or Typescript
- Experience designing and operating distributed systems, APIs, and microservice architectures at scale
- Hands on familiarity with cloud platforms such as AWS and containerization technologies such as Docker or Kubernetes
- Deep understanding of databases, messaging systems, or streaming technologies such as PostgreSQL, Redis, or Kafka
- Track record of building reliable, scalable, high throughput systems that support customer facing products
- Demonstrated ability to coach and develop engineers, drive team alignment, and create an inclusive, collaborative engineering environment
- Strong communication and cross functional partnership skills, with the ability to work effectively with AI, data, product, and design teams
- A mindset rooted in ownership, curiosity, and a passion for building meaningful systems that drive measurable customer impact
What We Use
- Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
- Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
- Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
- Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
- Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:
- The US base salary range for this full-time position is $193,000 - $250,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
#LI-MN1
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Senior QA Engineer
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role, Mission or Department Overview
The New York Times is looking for a Senior QA Engineer to join our Games team. You will be at the heart of our mission to deliver immersive, world-class gaming experiences. You will lead our offshore QA partners, refine manual testing processes, and architect automation frameworks that ensure the quality of our diverse games suite.
As a Senior member of the team, you will advocate for a "shift-left" testing philosophy - collaborating with Product, Design, and Engineering from the initial creative phase through the entire development lifecycle. You'll join a culture that values transparency, diversity, and learning.
You will report to the Senior QA Manager.
Responsibilities:
- Architect and build a comprehensive testing strategy that balances manual oversight of offshore teams with the development of scalable automation.
- Develop automated test suites using Playwright for web and XCUITest/Espresso for mobile apps.
- Partner early with Product, Design, and Engineering to identify potential issues during the requirements and design phases, ensuring you bake quality in from the start.
- Be a primary contact for our offshore QA crew, providing technical guidance, reviewing test plans, and ensuring high-quality execution.
- Identify bottlenecks in the development lifecycle and implement process improvements to increase release velocity without sacrificing quality.
- Work within an Agile environment to provide clear, relevant feedback and bug reports, participating in code reviews and sprint planning.
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
Basic Qualifications:
- 5+ years of experience in software quality engineering, with at least 2 years in a Senior or Lead capacity.
- Experience building and scaling test frameworks using Playwright (or equivalent experience with Cypress or Selenium).
- Hands-on experience with native mobile automation tools, specifically XCUITest (iOS) and Espresso (Android).
- Command of at least one modern programming language (e.g., JavaScript/TypeScript, Swift or Kotlin).
- Experience with exploratory testing, regression testing, and test case management.
- Experience collaborating and communicating with cross-functional teams.
Preferred Qualifications:
- Previous experience testing mobile or web-based games, including familiarity with multi-player games and UI/UX consistency.
- Experience integrating automated tests into deployment pipelines (e.g., GitHub Actions, Drone, or Terraform).
- Familiarity with tools like k6, JMeter, or Postman to test backend reliability and load capacity.
- Experience with cloud-based testing platforms like BrowserStack or Sauce Labs.
- Interest in the evolving AI landscape, with a willingness to explore, pilot, and implement AI-assisted tools that enhance our development and testing processes.
- A growth-oriented mindset: You embrace technical challenges, learn from mistakes, and are eager to share your findings to help the whole team level up.
This is a hybrid remote/in-office role based in our New York headquarters.
#LI-Hybrid
REQ-019767
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Senior Engineer, Cybersecurity
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role
The Senior Engineer, Cybersecurity is a hands-on contributor who designs, builds, and operates security controls and services that protect The Times' systems, data, and users. As a member of the Security Architecture team, you will own complex initiatives end-to-end, drive measurable risk reduction, and collaborate across product engineering and enterprise technology with technical depth, operational rigor, and clear communication aligned with business outcomes.
Cybersecurity helps prevent The Times from becoming news. Our teams work to protect the news makers, their support staff, the platforms they rely on every day, as well as all of The Times' products and services, and our readers who consume them.
Responsibilities:
- Create an environment that favors context, not control. Empower product engineers and ensure they have the relevant information and tools to deliver secure products and services.
- Design, implement, and operate security controls and services (e.g., identity and access management, secrets management, endpoint/agent hardening, network segmentation, detection, and response automation) that meet reliability, security, scalability, and observability standards.
- Partner with product and platform teams to integrate security into architecture and developer workflows while articulating business impact and tradeoffs.
- Perform security reviews, threat modeling, and risk assessments (code, design, 3rd-party apps).
- Investigate and resolve urgent and/or complex security issues, triaging effectively and driving architectural changes that prevent recurrence.
- Participate via RFCs, community of practices, and other internal knowledge sharing channels to share learnings, align on standards, and influence secure patterns across areas; model The Times' core values in cross-functional collaboration.
- Support team growth through peer design/code review, pairing, and clear feedback.
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
- This role reports to the Director of Engineering, Cybersecurity.
Basic Qualifications:
- 5+ years of experience in software engineering and/or security engineering space
- Understanding of security controls across a variety of security domains, including access management, encryption, vulnerability management, AI security, network security, authentication/authorization, etc
- Knowledge of one or more Cloud platforms (AWS, GCP) and best practices for architecting and securing
- Experience with software engineering practices (CI/CD, GitOps, IaC, etc.) and related security practices (SAST, SCA, secure by design, shift left, etc.)
- Programming skills in at least one language (Go, Python)
- Experience with containerization and orchestration platforms
Preferred Qualifications:
- Security/Compliance or DevOps certifications
- Experience with Kubernetes
- Experience with Terraform and Packer
- Experience with HashCorp Vault
This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
REQ-019399
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Senior Software Engineer, Machine Learning Platform
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role
The New York Times is looking for a Senior Software Engineer, with a focus on ML platform development, to join our Machine Learning & AI team to help solve creative challenges around Machine Learning infrastructure.
Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.
The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models at scale with low-latency and Service Level Agreements (SLAs) guaranteed by our platform.
This role is a hybrid role, based in New York City. You will report to the Engineering Manager of the Machine Learning Platform team.
Responsibilities:
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You will research, develop, and deploy infrastructure for the Machine Learning Platform that supports large-scale multi-tenant workloads
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You will build a platform to train and test algorithms that provide real-time content recommendations and personalization to our readers
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You will enhance ML platform's CI/CD and integration testing capabilities
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You will build a platform that supports the full Machine Learning workflow; from model training, testing and production deployment at high scale and low latency
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Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world
Basic Qualifications:
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5+ years of direct relevant experience in MLOps or DevOps, including experience operating large systems in a production environment
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Experience deploying and monitoring systems using cloud infrastructure (GCP or AWS)
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Experience working with Kubernetes, Docker, and CI/CD (Drone, Argo, Jenkins, etc)
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Experience leading the development of large-scale, data-driven, distributed multi-tenant systems
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Proficiency with at least one high-level programming language like Python or Go
Preferred Qualifications:
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Experience with any of the these technologies: Terraform, Airflow, SQL/BigQuery, BigTable or other NoSQL datastores such as Cassandra, DynamoDB, Redis
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Familiarity with ML tooling such as Triton, TensorFlow, scikit-learn
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Experience building the infrastructure that power real-world machine learning applications like recommendation systems, bandits, etc.
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Experience engaging with partners to understand pain points, observe patterns, and identify opportunities for improvements
This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
REQ-019502
#LI-hybrid
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Engineering Manager - Identity & Access Management
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role:
The New York Times is seeking a hands-on technical leader who will build and lead the team responsible for identity platforms and access orchestration across the enterprise. This role and team sit within the Cybersecurity Department, but their mandate covers the entire NYT organization.
In this role, you will own complex initiatives end‑to‑end, shape the long-term identity roadmap, and ensure that our identity and access controls are secure, strategic, and scalable. You will partner closely with teams across the Cybersecurity and Technology departments to drive strategic work across our core platforms, with a focus on automation, lifecycle workflows, and access governance. This is a people‑manager role with significant technical depth: you will coach and grow engineers while remaining close enough to the work to guide architecture and technical implementation.
Cybersecurity helps prevent The Times from becoming news. Our mission is to protect staff, subscribers, sources, and the intellectual property of The New York Times and its subsidiaries from unauthorized access, damage, and disclosure.
Responsibilities:
- Own the strategic direction and multi-year roadmap for enterprise Identity and Access Management initiatives, taking into account departmental and company objectives.
- Lead the execution of a Group Lifecycle Management strategy by leveraging a new Identity Governance and Administration layer, and help operationalize this strategy across relevant systems.
- Work with product and platform teams to model roles and access profiles that balance security and productivity.
- Partner with Enterprise Technology and Developer Platforms to implement and operate identity orchestration for provisioning, deprovisioning, and access reviews across key systems.
- Define and implement patterns for privileged access management and just‑in‑time elevation, especially for cloud and production roles.
- Be a thought leader for Identity in cross-functional initiatives like conditional access which impact thousands of NYT employees.
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
- You will report to the Senior Director, Cybersecurity.
Basic Qualifications:
- 8+ years of experience in software engineering, security engineering, or identity engineering, with 3+ years in a technical leadership or engineering management role (formal people management or tech‑lead experience)
- Experience designing and operating identity systems or platforms at scale, such as:
- Entra/Azure AD and/or Active Directory
- SSO and federation (OIDC/SAML)
- SCIM‑based provisioning and group lifecycle management
- Identity governance / access orchestration platforms (e.g., ConductorOne, SailPoint, Entra ID Governance, or similar)
- Strong understanding of security controls across multiple domains, including access management, authentication/authorization, privileged access, and endpoint/device posture
- Hands‑on familiarity with cloud platforms (AWS and/or GCP) and best practices for securing identity and access in those environments
- Working knowledge of engineering practices (CI/CD, GitOps, IaC) and how identity and access controls integrate into those workflows
- Familiarity with ConductorOne or similar identity orchestration platforms and experience implementing them
Preferred Qualifications:
- Experience leading or implementing:
- Identity governance and administration (IGA) rollouts
- Conditional access and device trust strategies (e.g., hardware MFA, high‑risk user/location controls)
- Experience with Terraform or similar IaC tools to manage Entra/AD, cloud IAM, and/or Google Org configuration
This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
#LI-Hybrid
REQ-020028
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Software Engineer, Publishing Technology
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role
The New York Times is looking for a Software Engineer to help build our next generation of internal tools and services to support our production and publishing operations. We are rebuilding our manufacturing and publishing workflow systems in the latest cloud technologies, with a focus on microservices and serverless technology.
You'll work on systems that support our publishing workflow and plant manufacturing systems. You will work with the latest cloud-based technologies, building applications in serverless and container technology from back-end workflow engines, data mining, API, and websites. We are entirely cloud-focused; our group is completely invested in AWS Lambda functions and a variety of other serverless AWS Managed Services. You'll participate in discovery, analysis, requirements gathering, design, and implementation. You will help in transforming our systems and deployment methodologies to be aligned with the current best practices models.
You will be reporting to the Senior Director of the Publishing Technology Software Engineering team. Your teammates will be other Systems Analysts, Software Engineers, DevOps Engineers and Project Managers, all working in an Agile environment. You will work with internal customers company wide as you build applications that produce the world's greatest journalism.
This position is hybrid remote/in-office (2 days/3 days)
#LI-Hybrid
Responsibilities:
- As part of an internal application development team, you will develop internal applications in TypeScript, Node.j, and JavaScript.
- You will work on frontend and backend code bases.
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
Basic Qualifications:
- 2+ years of software engineering experience
- Proficiency in TypeScript, Node.js, and JavaScript environments
- Experience working with SQL and NoSQL databases
- Familiarity with AI-assisted development tools such as GitHub Copilot
- Experience building applications using React.js
- Experience communicating with internal customers, technical peers, and management
- Experience building applications on a major cloud provider (AWS or GCP)
- Experience building and integrating APIs
- Experience dissecting, understanding, and building complex systems
Preferred Qualifications:
- Experience with CI/CD tooling such as Terraform and Drone
- Experience building microservices and working with AWS Lambda, S3, API Gateway, SQS, DynamoDB, AWS RDS and other AWS serverless resources
- Some experience with C/C++ would be nice to have.
This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
#LI-Hybrid
REQ-019167
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Senior Software Engineer, AI Platforms and Products
Share this job
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role, Mission or Department Overview
The New AI Products and Platforms mission is a central hub for new, high-ambition AI opportunities and services at The Times. We are hiring a Senior Software Engineer to help build the backend services and infrastructure that will form our internal AI Platform.
This platform will enable teams across the company to build, deploy, and manage applications that use large language models (LLMs) to advance our journalism and our business. You will report to the Director of AI Platforms and work with a team of engineers, designers, product and project managers, data scientists, and newsroom stakeholders to make investments in AI possible across The Times.
This is a hybrid position based in our New York City headquarters. You can typically expect to come into the office two days per week.
Responsibilities:
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Design, build, and maintain scalable and reliable backend services and APIs for a central platform used by teams building AI applications across our journalism and our business.
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Take ownership of core platform components and integrations, including systems for prompt and workflow management, evaluation and tracing, and monitoring for cost, usage, and performance.
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Build and operate vector database and retrieval infrastructure to support search and AI-powered discovery experiences.
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Design and develop retrieval-augmented generation (RAG) pipelines and agentic workflows that connect our content, data, and AI models.
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Build orchestration layers for multi-step AI workflows, managing the coordination of LLM calls, retrieval, and business logic.
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Develop the infrastructure that enables teams to create and manage their AI applications, complete with metadata, observability, and access controls.
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Architect and implement data pipelines and storage solutions to support our AI systems.
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Write high-quality, maintainable, and well-tested code, primarily in backend languages like Python or Go.
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Ensure a high degree of code quality, security, and system observability.
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Collaborate with editorial, product, ML, and data teams to translate requirements into platform capabilities.
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Review code written by other software engineers on the team and provide feedback.
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Contribute to and advocate for robust testing strategies to ensure service reliability.
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Be a mentor to other software engineers to enable their growth.
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Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
Basic Qualifications:
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5+ years of software engineering experience, with a strong focus on backend development.
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5+ years of experience in one or more backend programming languages such as Python or Go.
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5+ years of experience designing, building, and operating distributed systems and APIs at scale.
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1+ years of experience building applications with Large Language Models (LLMs) and familiarity with the surrounding ecosystem (e.g., orchestration, retrieval-augmented generation).
Preferred Qualifications:
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Experience with MLOps, including building systems for model and prompt evaluation, tracing, and monitoring.
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Experience with vector databases and embedding models or services.
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Experience with information retrieval or search systems.
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Experience building RAG systems or agentic AI workflows.
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Experience with prompt engineering and prompt management systems.
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Familiarity with containerization and orchestration technologies like Docker and Kubernetes.
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Experience with infrastructure as code (e.g., Terraform, CloudFormation).
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Deep experience with cloud computing platforms like GCP or AWS and their associated services (e.g., Cloud Functions, S3, RDS).
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Experience with event-driven architectures and technologies such as Kafka or Pub/Sub.
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Familiarity with LLM orchestration and agentic frameworks.
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Experience with GraphQL.
This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
#LI-Hybrid
REQ-019837
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Data Engineer, Analytics Data Products
Share this job
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role:
We are part of a New York-based technology organization with a remote-friendly workplace that includes engineers around the world. We value transparency and openness, learning, community, and continuous improvement. Check out the Times Open blog, which is written by engineers and other technical team members, and follow @nytdevs on Twitter to see what we're up to.
Responsibilities:
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Design, model, and implement complex ELT/ETL pipelines for the cleansed and curated data layers in the medallion architecture, taking full ownership of the data product's structure, partitioning, documentation, and performance characteristics.
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Develop advanced data transformations using dbt (data build tool) for relational data modeling and PySpark for large-scale data processing within the Lakehouse, ensuring outputs meet strict Service Level Agreements and quality standards.
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Collaborate across teams to define requirements and translate them into robust and scalable data models suitable for analytic consumption.
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Manage the physical data storage across both GCP and AWS, selecting optimal file formats and designing efficient partitioning and clustering strategies.
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Administer and tune Spark compute resources (e.g., Dataproc, EMR, or managed services) to optimize job execution time and cost.
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Own core components of our centralized analytics environment, specifically focused on Hex, integrations, and the methods of data exposure and access controls; and support data activation strategies, ensuring seamless data consumption by analytic tools.
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Optimize user queries and access patterns to maintain platform performance and cost efficiency.
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Implement centralized data quality checks and observability mechanisms within the data pipeline to proactively identify and resolve data issues.
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Contribute to the implementation of metadata management, data lineage, and role-based access control (RBAC) initiatives across the Lakehouse environment.
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
Basic Qualifications:
-
2+ years of hands-on experience in a Data Engineering, Data Warehousing, Analytics Engineering or equivalent role
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Proficiency in SQL and experience with complex, production-level data modeling (dimensional modeling, Kimball, OBT, or Data Vault)
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Demonstrated experience designing, developing, and deploying end-to-end data products through the full Software Development Lifecycle
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Experience with a Cloud Data Warehouse, like BigQuery
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Proficiency in Python for scripting and data manipulation, including knowledge of PySpark or other Spark APIs
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Familiarity with cloud services and data storage components in at least one major cloud provider (GCP or AWS)
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Experience with workflow orchestration tools (e.g., Airflow, Cloud Composer, or Prefect) and version control systems (Git)
Preferred Qualifications:
-
Experience operating in a dual-cloud environment (GCP/AWS)
-
Experience with Infrastructure-as-Code (IaC) tools like Terraform
-
Experience with advanced Lakehouse file formats like Iceberg or Delta Lake
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Familiarity with experimentation or A/B testing platforms and the data required to support them
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Experience in data product quality standards through integration advanced testing, quality checks, and monitoring into the CI/CD pipeline
REQ-019489
#LI-hybrid
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
ML Ops Engineer, Machine Learning & AI
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role:
Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.
The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models at scale with low-latency and Service Level Agreements guaranteed by our platform.
As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. You will automate and refine the training, deployment, monitoring, and management of our ML models.
This role reports to the Senior Engineering Manager of Data Management Infrastructure.
Responsibilities:
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Build and Automate ML Pipelines: by owning robust CI/CD pipelines for automated model training, validation, deployment, and retraining.
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Productionalize Models: Build the process for packaging, containerizing, and deploying ML models as scalable, low-latency, and highly-available services.
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Monitoring and Operations: Implement and manage comprehensive monitoring for production models, tracking system health, data drift, and model performance degradation.
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Tooling and Infrastructure: Manage and evolve our MLOps toolchain, including model registries, feature stores, experiment tracking systems, and model serving platforms.
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Collaboration and Support: Partner with data scientists to understand model requirements and optimize them for production. Support software engineers in integrating with ML services.
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Best Practices and Governance: Champion and enforce MLOps best practices for reproducibility, versioning (data, code, model), testing, and governance.
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Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
Basic Qualifications:
-
2+ years of software engineering or DevOps experience with a focus on MLOps, automation, and infrastructure
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2+ years of experience programming in Python or Go
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Experience building and managing CI/CD pipelines (e.g., Github Actions, Jenkins, GitLab CI)
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Hands-on experience with containerization and orchestration (e.g., Docker, Kubernetes)
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Cloud platform experience (AWS, GCP) and familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation)
Preferred Qualifications:
-
Experience with MLOps tools (e.g., MLflow, Kubeflow)
-
Experience with the machine learning model lifecycle, from experimentation to production
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Experience with data processing frameworks (e.g., Spark, Dask, or Ray)
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Experience with low-latency no-sql datastores (BigTable, Dynamo, etc)
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Familiarity with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, or ELK)
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Knowledge of data engineering pipelines and orchestration tools (e.g., Airflow, Prefect)
REQ-019522
#LI-hybrid
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Staff Software Engineer, Application Delivery
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role
The Developer Platforms mission at The New York Times builds the foundational platforms, tooling, and paved paths that help product teams ship high‑quality experiences quickly and safely. Our Application Delivery team provides the shared software delivery platform (CI/CD and artifact management) and deployment workflows used by many product teams across the company.
We're looking for a Staff Software Engineer to lead the technical direction of software delivery as a product.
This is a hybrid role based two days in our New York City headquarters. You will report to the Engineering Manager of the DevEx Application Delivery team.
Responsibilities
- Lead the technical direction of software delivery as a shared product: shape paved paths in our platform that improve code health, release quality, and delivery speed for product teams
- Collaborate with Product, engineering leaders, and internal users to shape the roadmap for the delivery platform and bring measurable impact on quality and speed.
- Deliver scalable, secure, and observable software delivery systems and workflows that improve reliability, and overall software quality and velocity.
- Champion engineering excellence in delivery by setting best practices for testing, deployment strategies, progressive delivery, and observability that are easy to adopt through the platform.
- Mentor engineers across the mission, contribute to hiring, and help foster an inclusive, collaborative engineering culture centered on shared platforms and high‑quality software delivery.
- Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.
Basic Qualifications
- 7+ years of experience building the technical strategy and driving CI/CD(Github Actions, Argo CD or equivalent) and software delivery with broad organizational impact beyond operations
- Demonstrated proficiency in building and maintaining production services in one or more general‑purpose programming languages (e.g., Go, Python, TypeScript/Node.js, or Java), including code review and debugging complex issues
- 7+ years of experience with containers, Kubernetes, package management tools(Helm or equivalent), IAC tools(Terraform or equivalent), Gitops‑based deployment workflows and cloud services such as AWS, GCP
- Proficiency in GenAI‑assisted developer tooling (e.g., Cursor, Copilot, or Claude Code) and passion for improving software delivery by leveraging these tools
- Experience leading cross‑team technical work, communicating trade‑offs, and building understanding among diverse partners including Product, platform, and product engineering teams
- Experience mentoring engineers and contributing to an inclusive, collaborative engineering culture
Preferred Qualifications
- Exposure to artifact/package management (e.g., Artifactory or similar) with attention to security, retention, cost, and ease of use for engineers
REQ-019637
#LI-Hybrid
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Senior Software Engineer, Messaging Platforms
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role:
The New York Times is seeking a senior front-end developer with experience in agentic AI development to join one of several teams that make up the Messaging Platforms group.
Your work will directly empower the Times to deliver breaking news and engage millions of readers worldwide. As we expand and replatform the core tools used by our editors and partners, you will have a unique opportunity to build significant new capabilities within a mission-driven organization. You'll join a collaborative group of engineers, designers, and product managers who prioritize empathy, innovation, and a shared responsibility for our collective success.
Our front-end code is written in React, while most of our backend code is Go. Services are deployed using CI/CD tools like GitHub Actions, and our infrastructure, which is hosted in Google Cloud (GCP) and Amazon Web Services (AWS), is provisioned with Terraform.
Responsibilities:
- Help lead the effort to modernize front-end tools using agentic workflows to accelerate development cycles while maintaining high architectural standards.
- Provide front-end expertise and coaching on AI-assisted development, helping the team adapt their workflows to spend more time on system design and less on routine implementation.
- Contribute to the full development lifecycle of our products, performing activities related to design, development, testing, deployment, monitoring, within a collaborative, distributed team.
- Partner with engineers, designers, and product managers across the organization to build user-friendly messaging capabilities.
- Ensure code quality and architectural health through static analysis, automated testing, and optimization for agentic development patterns.
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
- You will report to an Engineering Manager in the Messaging Platforms group.
Basic Qualifications:
- 5+ years of experience with front-end fundamentals (HTML/CSS/JavaScript/TypeScript), performance, accessibility, and best practices
- Expertise in modern frameworks (eg. React, Redux, CSS modules, ReactDOM)
- Proficiency with JavaScript tooling (eg. Vite, Babel, pnpm, Webpack) and Node.js/GraphQL
- 2+ years of full-stack experience, including back-end languages (Go preferred) and SQL
- Hands-on experience with agentic or AI-assisted coding tools (e.g., Claude Code or Cursor) including the ability to effectively direct, iterate on, and verify AI-generated output
Preferred Qualifications:
- Experience developing and maintaining custom AI agents or automated developer workflows
- Experience with evaluation frameworks for AI-generated code, including the use of automated checks, regression testing, or LLM-based grading to ensure architectural consistency at scale
- A nuanced understanding of the trade-offs and complexities involved in LLM orchestration, including a focus on cost, token usage, and the limitations of current agentic frameworks in front-end environments
- Experience building, operating, and monitoring web systems in GCP or AWS
- Experience with Prosemirror and/or Apollo
This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
#LI-Hybrid
REQ-019925
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Software Engineer, Machine Learning Platform
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role
Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.
The Machine Learning Platform (MLP) team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models with low-latency and Service Level Agreements (SLAs) guaranteed by the MLP.
We are looking for a Software Engineer, with a focus on MLOps, to join our Machine Learning Platform team to help solve creative challenges around Machine Learning infrastructure for the New York Times.
This role is a hybrid role, based in New York City. You will report to the Engineering Manager of the Machine Learning Platform team.
Responsibilities:
-
You will research, develop, and deploy infrastructure for the Machine Learning Platform at scale
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You will build infrastructure to train and test algorithms that provide real-time content recommendations and personalization
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You will enhance ML platform's CI/CD and integration testing capabilities
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You will promote developer productivity by rolling out capabilities that maximize self-sufficiency and minimize the toil in learning those capabilities in building scalable applications with high speed, quality, and performance
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Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world
Basic Qualifications:
-
2+ years of direct relevant experience in MLOps or DevOps, including experience operating large systems in a production environment
-
Experience deploying and monitoring systems using cloud infrastructure (GCP or AWS)
-
Experience working with Kubernetes, Docker, and CI/CD
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Familiarity with at least one high-level programming language like Python or Go
Preferred Qualifications:
-
Experience with any of the these technologies: Terraform, Airflow, SQL/BigQuery, Drone, Triton, TensorFlow, scikit-learn, DataDog
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Experience building real-world machine learning applications like recommendation systems, bandits, etc.
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Experience engaging with stakeholders to understand pain points, observe patterns, and identify opportunities for improvements
This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
REQ-019501
#LI-Hybrid
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Ready to apply?
Apply to The New York Times
Senior Cloud Engineer (Remote)
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About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.
Overview:
DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL.
Job Responsibilities:
- Firm-Wide Cloud Platform
- Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
- Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway).
- Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
- Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
- Own FinOps visibility and cost optimization frameworks across all trading and research workloads.
- Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution.
- Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack.
- Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
- Cloud Migration (CME-GCP)
- Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout.
- Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN).
- Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS.
- Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations.
- Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
- Crypto Desk – Specialized Support
- Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways.
- Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks.
- Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.
Requirements:
- At least 5+ years of experience in a similar role in the industry
- Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
- Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
- Extensive experience with Terraform at scale
- Direct experience supporting electronic trading or low-latency systems
- Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
- GCP & Cloud Migration
- Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
- Working knowledge of GCP IAM, Organization Policies, and multi-project governance
- Understanding of multi-cloud networking patterns and cross-cloud security posture management
- Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
- Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events
DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
Ready to apply?
Apply to DV Trading
Full Stack Software Engineer - Alts & Data Management
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Who We Are
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.
The Role
We are currently seeking a full stack software engineer to join the Alternatives Data Management (ADM) team. Our team is building AI-powered data products and workflow solutions that unlock transparency, efficiency, and insight in private market investments. You’ll join a full-stack team of engineers and collaborate closely with Product and Design to deliver client-facing features that will set us apart from our competitors.
Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.
The current range for this role is $107,000 - $168,000 (base salary) + bonus + equity + benefits.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.
Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.
What You’ll Do
- Collaborate with product, design, engineering, and key clients to define and deliver solutions that support and streamline user workflows
- Work alongside senior software engineers to deliver features end to end, with strong opportunities for ownership
- Coordinate with our web platform and design system teams to ensure our product is a seamless part of the Addepar user experience
- Engage in the budding inner-source culture within Addepar, fostering standardization across the myriad of React, terraform and Python codebases within the company
Who You Are
- Bachelor’s degree in Computer Science or equivalent experience
- 2+ years full-stack development experience OR
- 1+ years experience with front end development technology
- 1+ years backend development experience
- You care about delivering quality and value to clients in an agile manner
- Python or Java development experience a big plus
- Experience with React, web components, Svelte, and/or Ember a big plus
- Full-stack, product engineering experience a big plus
- Experience with gen AI for coding a plus
Our Values
- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.
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Senior Backend Engineer (Data Platform)
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About the Position
Bluefish AI is looking for a Senior Backend Engineer to own the data platform infrastructure that powers our AI marketing platform; building the systems that reliably move and process data at scale.
This role sits within the Data Engineering team and focuses on building scalable, observable, and resilient systems that handle production data. You will work closely with data engineers and product teams to level up data pipelines and ensure data acquisition scales with the business. This is an exciting opportunity to shape the future of AI‑driven technologies and make meaningful contributions to real‑world applications.
This role is based in our NYC office and follows a hybrid working policy with 3 days in office.
What You’ll Be Doing
- Design and build production-grade backend services and pipelines that carry data reliably from ingestion to downstream consumers.
- Design and operate data exchange interfaces for external customers: APIs, exports, and delivery mechanisms that meet reliability, security, and contractual requirements.
- Make architectural decisions balancing cost, reliability, and throughput across distributed systems.
- Build resilient infrastructure with smart retries, backoff strategies, dead-letter handling, and failure recovery.
- Participate in end-to-end observability: structured logging, metrics, alerting, and on-call.
- Collaborate cross-functionally to integrate new data sources and serve evolving platform needs.
- Set technical direction and raise the bar on code quality, testing, and system design.
Qualifications
- 5+ years building and operating production backend or data platform systems.
- Strong distributed systems fundamentals: event-driven architectures, async processing, message queues.
- Experience with AWS: SQS/SNS, Kafka, Lambda, ECS, S3, and EventBridge.
- SQL and NoSQL database experience (PostgreSQL, DynamoDB).
- Experience designing systems with robust error handling, idempotency, and reliable delivery guarantees.
- Comfortable working across languages; our stack is Python and TypeScript and you'll be expected to be productive in both.
- Experience mentoring mid/junior engineers and raising the technical bar across a team.
Nice to Have
- Experience with pipeline orchestrations.
- Background in web scraping or data acquisition at scale.
- Familiarity with vector databases or ML-adjacent infrastructure (embeddings, inference endpoints).
- Experience with big data, especially with AI/ML platforms and use-cases.
- Infrastructure as Code experience (Terraform).
- Ability to partner with product, AI, BI, and data science teams as a technical thought partner, translating business and analytical needs into data platform decisions.
- Experience working across time zones in distributed teams, with a track record of defining collaboration rhythms (communication standards, documentation practices, and ceremonies) that keep geographically dispersed teams aligned.
About Bluefish:
Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.
The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.
Why Bluefish & Our Values:
- Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI
- Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry
- Join an experienced high-performing team where you will have immediate ownership and impact
- Experience a true meritocracy with significant career growth upside as the business scales
Our Values:
- Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment.
- Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
- Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
- Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
- Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
- Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.
Ready to apply?
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Octus
Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets.
For more information, visit: https://octus.com/
Working at Octus
Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more.
Role
Octus is seeking a Principal Data Engineer to roll up their sleeves and build scalable, production-grade data pipelines and infrastructure. You'll be a hands-on technical leader — writing code daily, solving hard engineering problems, and helping elevate the team around you through doing. Spanning Snowflake, Databricks, and AWS, you'll be deeply involved in the day-to-day development of the data platform that powers Octus's products, data, and automation initiatives. The ideal candidate is an expert in Python and SQL who thrives in an execution-focused environment and has deep experience building modern data pipelines and lakehouse solutions.
Responsibilities
- Build and maintain end-to-end data pipelines — from raw ingestion through transformation and delivery — across diverse data sources (APIs, web data, internal feeds, etc.).
- Hands-on development of scalable, production-grade pipelines within Databricks, including Delta Lake table management, Workflows, and cluster optimization.
- Build and maintain data models, schemas, and transformation logic in Snowflake, optimizing for performance and reliability.
- Develop and manage Databricks environments including Unity Catalog, Delta Live Tables, and integration patterns that support both internal data consumers and external sharing use cases.
- Build and manage orchestration workflows using AWS services (MWAA/Airflow, Lambda, ECS, SQS, MSK) and Databricks-native orchestration where appropriate.
- Implement and maintain infrastructure as code (IaC) using Terraform, ensuring reproducibility and compliance with cloud standards.
- Establish and enforce best practices in data modeling, schema design, and ETL/ELT processes for high-volume structured and semi-structured data across Snowflake and Databricks.
- Ensure data quality, lineage, and observability through automated testing, monitoring, and alerting across all pipeline layers.
- Collaborate closely with technology leadership to align data platform development with business strategy and product goals.
- Stay at the forefront of industry trends in data engineering, lakehouse architecture, and cloud-native data platforms.
Requirements
- Strong foundation in software engineering principles, including SOLID design, modularity, and scalability.
- Expert proficiency in Databricks, including Delta Lake, Unity Catalog, Delta Live Tables, MLflow, and Databricks Workflows.
- Deep experience with Snowflake, including data modeling, performance optimization, and integration with upstream/downstream pipeline tooling.
- Expert proficiency in Python for data pipeline and automation development.
- Advanced SQL skills with experience optimizing complex queries and data models at scale.
- Proven experience designing and maintaining cloud-native data pipelines on AWS (e.g., MWAA/Airflow, Lambda, ECS, SQS, Glue, S3, Redshift, etc.).
- Experience implementing and managing Terraform or similar IaC frameworks.
- Strong understanding of lakehouse architecture patterns, data ingestion, transformation, and orchestration, including familiarity with ML/AI pipeline integration patterns.
- Familiarity with CI/CD pipelines, automated testing, and modern DevOps practices.
- 8+ years of experience in data engineering or backend development, with a focus on scalable data solutions.
- Demonstrated experience leading data infrastructure projects end-to-end and mentoring senior engineers.
- Familiarity with containerization (Docker) and workflow orchestration best practices.
- Excellent communication, collaboration, and problem-solving skills.
Nice to Have
- Experience with streaming data technologies (Kafka, Kinesis, Flink).
- Exposure to ML/AI pipeline patterns (feature stores, experiment tracking, model serving) and MLOps tooling, particularly in a cross-functional team environment.
- Experience integrating data quality and observability tools.
- Experience with Databricks as a data sharing and collaboration platform (Delta Sharing, Marketplace).
- Familiarity with Claude Code or similar AI-powered developer tools for accelerating pipeline development and code workflows.
At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.
The salary range estimate for this position is $175,000 - $220,000
The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors.
Equal Employment Opportunity
Octus is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, pregnancy, veteran status, or any other legally protected status. We strive to create an inclusive and diverse work environment where all individuals are valued, respected, and treated fairly. We believe that diversity enriches our workplace and enhances our ability to innovate and succeed.
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Octus
Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets.
For more information, visit: https://octus.com/
Working at Octus
Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more.
Role
As a DevOps Engineer at Octus, you will play a crucial role in the development, implementation, and maintenance of the cloud infrastructure for our products. This position involves close collaboration with Application Developers, Data Engineers, SRE, Security, and IT professionals to automate and streamline operations and processes. Your contributions will be essential in ensuring the reliability, scalability, and security of our systems and applications.
Core Responsibilities:
- Design, implement, and maintain CI/CD pipelines to automate the build, test, and deployment processes.
- Effectively prioritize workload with a constant focus on increasing developer efficiency.
- Manage and optimize cloud infrastructure to ensure scalability, performance, and cost-effectiveness. Experience with AWS is a plus.
- Work closely with SRE to develop and maintain monitoring and alerting systems to ensure the health and performance of our systems and applications.
- Work closely with Security to implement and enforce security best practices across our infrastructure and applications.
- Collaborate with software developers to optimize application performance and reliability.
- Participate in the planning and execution of disaster recovery and business continuity strategies.
- Effectively communicate with stakeholders to provide updates on project statuses, issues, and recommendations.
- Participate in on-call rotation to provide system support.
Core Requirements:
- At least 5 years of experience in a DevOps role.
- At least 2+ years of experience with Terraform.
- Expert knowledge of cloud concepts and services (EC2, ECS, S3, RDS, A/ELB, EBS, VPC, Route53 or equivalent).
- Expert level knowledge of Linux. Strong scripting skills for automation and tooling.
- Ability to troubleshoot, diagnose, resolve & document RCA of incidents.
- Good knowledge of database configuration, concepts, maintenance, and troubleshooting.
- Thorough understanding of Security principles and experience in designing, implementing, monitoring proper controls.
- Extensive experience with Infrastructure-as-code & configuration management tools (Terraform, SaltStack or equivalent).
- Experience with containerization technologies such as Docker and orchestration tools like Kubernetes, ECS including managing microservices architectures.
- Knowledge of CI/CD tools such as Jenkins, Github Actions or equivalent.
- Experience with monitoring and logging tools such as Datadog, Cloud Watch or equivalent.
- Excellent communication skill, with the ability to effectively collaborate with cross-functional teams.
At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.
The salary range estimate for this position is $165,000 - $190,000.
The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors.
Equal Employment Opportunity
Octus is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, pregnancy, veteran status, or any other legally protected status. We strive to create an inclusive and diverse work environment where all individuals are valued, respected, and treated fairly. We believe that diversity enriches our workplace and enhances our ability to innovate and succeed.
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Software Engineer - All Levels
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About GlossGenius
GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools, including booking and scheduling, marketing, analytics, payment processing, and much more.
Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.
About the Role
GlossGenius has grown significantly, supporting tens of thousands of customers and seeing billions of transaction volumes on our platforms. As our customers continue to grow their businesses, we want to enable them to be more successful. For that, we’re building AI features that will transform how our customers operate and grow their businesses.
That’s why we are seeking strong Software Engineers, All levels to join one of our Product or Platform-based teams. Product-focused engineers work at the intersection of business needs and technical solutions, solving key customer problems. Platform-focused engineers build scalable, reliable, and extensible systems that empower product teams to move faster, deliver with quality, and focus on customer value.
You must be commutable to our NYC headquarters. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.
What We Work With
We are open to hearing from candidates who know different programming languages and are excited to learn more and grow their skills. Our current stack:
- Kotlin (micronaut, jooq), Ruby (Rails, Sidekiq), gRPC, protobuf
- Typescript / Javascript (React, Redux)
- React Native
- AWS, Kubernetes, Postgres, and Terraform
What You’ll Do
As a Software Engineer at GlossGenius, you'll play a critical role in shaping a platform that powers over 100,000 small businesses and processes more than $3 billion in payments annually. Engineers work on high-impact initiatives that support our rapid growth and evolving scale. Examples of your potential responsibilities include:
- Develop, release, and run large-scale web applications that empower beauty and wellness businesses to operate and grow.
- Build new AI features for our customers.
- Develop and define our microservice-based infrastructure.
- Build tools and solutions that enable internal teams to work faster, more effectively, with more confidence, and improve the value they can provide our users (Business Scalability team).
- Work on core experiences such as making payments friction-free for clients and customers, building tools to help customers earn more per hour, or enabling businesses to effortlessly grow and manage their teams.
- Focus on front-end development, crafting intuitive and engaging user experiences for our web and mobile applications.
- Improve performance, reliability, scalability, and security for our backend systems.
What We’re Looking For
- 2+ years of professional experience in software development.
- A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- A strong desire to move fast and have a significant impact.
- An entrepreneurial mindset, eager to take ownership and contribute new ideas to solve challenging problems.
- Hands-on experience building with AI/ML APIs or LLMs, you've shipped something real using AI, whether in a production environment or a meaningful side project. You think critically about where AI adds genuine value and how to integrate it responsibly into a product.
- Ability to analyze and improve efficiency, scalability, and stability of various system resources.
- Demonstrates strong collaboration skills and team spirit.
Benefits & Perks
- Flexible PTO
- Competitive health & dental insurance options, with premiums partially or fully covered by GG
- In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities)
- Fertility and adoption benefits via Carrot
- Generous, fully-paid parental leave policy
- 401k benefit - employees are eligible to contribute starting day 1 of employment
- Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
- Pre-tax commuter benefits
- Dependent Care FSA
- Home office support
The starting base salary for this role in New York is between $150,000-$230,000+ target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius’s equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering.
At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer.
Personal Information: Notice at Collection for Employees and Applicants
Agency Submissions
If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired.
GlossGenius may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.
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Staff Site Reliability Engineer - Kubernetes
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Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Workforce Identity Cloud
Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities—like reducing costs, and doing more for your customers.
If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools.
Position Overview:
The Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimizing costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh.
Key Responsibilities:
- Kubernetes Platform Creation: Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms. Ensure clusters are optimized for production workloads, providing high resilience and operational efficiency.
- AWS Infrastructure Management: Build, manage, and optimize AWS cloud infrastructure, including EKS,ECS, S3, VPCs, RDS, IAM, and more. Implement best practices for cost management, scaling, and security within AWS.
- Helm Management: Utilize Helm to automate and streamline the deployment of applications and services to Kubernetes clusters. Create, maintain, and manage Helm charts for production-ready deployments.
- Karpenter Implementation: Implement and manage Karpenter to dynamically scale Kubernetes clusters in response to workload demands.
- Istio Service Mesh Management: Configure and manage Istio to provide service-to-service communication, security, and observability within the Kubernetes clusters. Enable fine-grained traffic management, service discovery, and policy enforcement.
- Platform Automation & Scaling: Automate the deployment, scaling, and management of infrastructure and applications. Work with CI/CD pipelines to ensure a seamless flow from development to production with minimal downtime.
- Incident Management & Troubleshooting: Respond to incidents, troubleshoot, and resolve system issues related to performance, availability, and security in a timely and effective manner.
- Security & Compliance: Design and implement secure cloud infrastructure with appropriate access controls, network security, and compliance frameworks.
- Documentation & Knowledge Sharing: Create and maintain detailed documentation for Kubernetes platform setup, operational procedures, and best practices. Promote knowledge sharing across teams.
Required Qualifications:
- 4+ years of experience with Kubernetes/Helm;
- 4+ years of Experience with Terraform.
- 5+ years of Experience with AWS
- Experience with multi-region cloud environments.
- Proven experience with AWS (EC2, RDS, S3, CloudFormation, IAM, etc.) and solid understanding of cloud-native architectures.
- Strong expertise in Kubernetes platform creation, management, and optimisation (e.g., setting up highly available clusters, networking, and storage).
- Hands-on experience with Helm for Kubernetes application deployment and management.
- Practical experience with Karpenter for dynamic scaling of Kubernetes clusters and optimising resource usage.
Expertise in managing and securing Istio for service mesh, including traffic management, security, and observability features. - Proficiency in CI/CD pipelines and automation tools (e.g., Jenkins, GitLab, CircleCI, Terraform, Ansible, Spinnaker).
Strong scripting and automation skills in Python, Bash, or Go for infrastructure management and platform automation. - Experience with monitoring, logging, and alerting tools such as Prometheus, Grafana, CloudWatch, and ELK Stack.
Preferred Qualifications:
- Understanding of security best practices for cloud platforms and Kubernetes (e.g., role-based access control (RBAC), encryption, and compliance frameworks).
- Familiarity with Docker and containerization principles.
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience).
- Certifications (Preferred): CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or AWS Certified DevOps Engineer are highly desirable.
Additional requirements:
- This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.
- Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.
#LI-Hybrid
#LI-LSS1
requisition ID- (P16373_3396241)
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
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Staff Software Engineer, Security Engineering
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Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
We are looking for a Staff Software Engineer that will join the Auth0 Security Engineering organization. You’ll be responsible for designing and building the security guardrails for our multi-cloud environment, translating complex security and compliance standards into programmatic, code-driven policies.
What You Will Do
- Cloud Security Strategy: Design organization-wide controls (SCPs, Azure Policy) that provide maximum protection with minimum developer friction.
- Identity & Access Management (IAM): Architect templates and permission boundaries that govern how services and humans interact with our cloud environment with the principle of least privilege in mind.
- Infrastructure & Network Security: Define the security standards for VPC architecture, edge networking, and cross-account connectivity.
- Platform Security Architecture: Lead platform-related security reviews for new features and high-impact services, ensuring security is baked into the design phase.
- System Design: Design systems and processes to validate the security posture of the platform, ensuring our security policies are enforced in real-time with actionable feedback for engineering teams.
- Mentorship & Influence: You raise the bar for the entire organization by mentoring junior engineers and influencing senior leadership on critical security decisions.
What You Bring
- Cloud & Infrastructure Expertise: 8+ years of proven experience in information security, specifically within cloud-native environments, Kubernetes (EKS, AKS), and cloud security.
- Network Architecture & PKI: Deep understanding of secure networking principles, including VPC peering/transit gateways, VPN implementations, edge protection, and managing public/private PKI infrastructures.
- Policy & Automation Specialist: Strong background in building automated controls for enforcing Policy-as-Code within Terraform workflows.
- Practical Risk Assessments: Hands-on experience identifying attack vectors and conducting risk assessments for complex, distributed systems.
- Tooling & AI Proficiency: Experience working with security platforms for analyzing cloud permissions and a background or interest in applying AI to streamline security tasks and governance.
- Collaborative Influencer: Exceptional communication skills with a track record of aligning multiple teams toward shared security goals.
- Education: A Bachelor's degree in Computer Science, Information Security, Systems Engineering, or a related field.
Nice to Have
- Experience navigating compliance frameworks such as FedRAMP, SOC2, or HIPAA in a cloud environment.
- Proficiency in one or more languages used for automation and tooling, such as Python, Go, or JavaScript.
- Experience creating, managing, and securing containerized environments.
- Experience with service mesh (Istio) security policies and zero-trust networking.
Additional requirements:
- This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.
#LI-HYBRID
#LI-SH1
P-1609.1_3388437
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Staff Data Engineer - Federal (Auth0)
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Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
The Auth0 Data Engineering Team
Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:
- Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
- Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
- Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data
The Staff Data Engineer Opportunity
Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for strategic platform initiatives, beginning with a critical mission: making our data platform FEDRamp compliant.
Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for the architectural evolution of our core data platform.
This is a high-impact, strategic role where you will not be focused on day-to-day operations. Instead, you will lead the discovery, design, and implementation of the next-generation architecture for our data systems, ensuring they are scalable, reliable, and secure. You will work across multiple data, platform, and security teams to define the architectural roadmap and drive its successful execution. We are looking for a seasoned engineer who thrives on solving complex, ambiguous problems and can drive technical alignment across the organization.
Please note: Due to the strategic nature of upcoming projects, this position is open only to US citizens or Green Card holders currently residing in the United States.
What you’ll be doing
- Lead the architectural design and evolution of our data platform, defining the roadmap for its future state.
- Drive technical strategy for large-scale platform enhancements, balancing long-term goals with incremental delivery.
- Collaborate deeply with engineers and leaders from other data, platform, and security teams to create a unified and secure architecture.
- Produce architectural artifacts, including design documents, threat models, and technical specifications, to create clarity and alignment for complex initiatives.
- Act as a technical mentor and force-multiplier for the Data Engineering team, elevating the performance of the group through guidance, code reviews, and sharing best practices.
- Implement foundational components of new architecture, proving out designs with hands-on coding and providing a model for other engineers to follow.
What you’ll bring to the role
- A passion for building secure, reliable, and scalable data systems.
- 8+ years of software development experience, with at least 5+ years in a data engineering or data platform role.
- Proven experience designing and delivering large-scale, cross-functional technical projects.
- Extensive experience architecting and deploying data infrastructure in a cloud environment (AWS strongly preferred).
- Deep architectural knowledge of the modern data stack, including data warehouses (Snowflake), transformation tools (dbt), and orchestrators (Airflow).
- Strong proficiency in Python and SQL, with a high bar for code quality and system design.
- Excellent communication skills, with the ability to create clarity and drive decisions on complex technical topics.
- The ability to deal with ambiguity, define a path forward, and lead others to successful outcomes.
And extra credit if you have experience in any of the following!
- Direct experience with security compliance frameworks like FEDRamp, SOC2, or HIPAA.
- Hands-on experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes).
- Experience working in government cloud environments (e.g., AWS GovCloud).
- Familiarity with the Identity Access & Management (IAM) domain.
We safeguard Okta from threats and vulnerabilities that could disrupt our business or erode our customers’ trust. The Defensive Cyber Engineering organization is responsible for the Security Data Platform, infrastructure, and tooling that enable Okta’s Detection and Response capabilities. The team also manages enterprise security tools and infrastructure that support XDR, DLP, and SSPM capabilities.
The Role
We are expanding this team to support Okta’s Public Sector roadmap by hiring a Staff Software Engineer in the DC area. You’ll work closely with Security, Business Technology Engineering, and Product teams to implement and manage security solutions, ensuring our core infrastructure applications protect our workforce, endpoints, and corporate data.
To deliver on this vision, you will build data and infrastructure platforms by leveraging your software, data, and security engineering skills. You’ll use automation, policy-as-code, and cloud-native technologies to deliver scalable, resilient, and secure solutions.
What you bring:
- 8+ years of strong coding and scripting experience, with a focus on building automation and custom tooling for infrastructure and data pipelines. Experience with Python is required; proficiency in other languages (e.g., Bash, PowerShell, Go) is a plus.
- Experience developing and maintaining ETL/ELT pipelines for onboarding security data into Okta’s security data lake.
- Experience working with security teams to integrate log sources and ensure seamless data ingestion.
- Ability to build and maintain scalable, fault-tolerant data pipelines to process security event data.
- Proven track record of automating security controls and workflows using a cloud-first approach.
- Experience with Terraform and other infrastructure-as-code tools to orchestrate security infrastructure.
- Familiarity with CI/CD pipelines for security automation and drift management.
- Strong communication skills, with the ability to collaborate with technical staff, support teams, executive leadership, and external vendors.
- 2+ years of experience building engineering solutions within highly regulated environments such as FedRAMP High, IL4, IL5, and/or IL6 is a plus.
- Current or previous Secret, Top Secret (TS), or Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is a plus.
What you’ll be doing
- Serve as a security subject matter expert (SME) for solution engineering and architecture reviews, preferably in the Detection and Response and/or enterprise security tooling space.
- Lead technical efforts to evaluate, design, and implement new enterprise security systems and feature enhancements.
- Build, maintain, and enhance custom automation and cloud infrastructure using Terraform or similar tools to support team workflows and enforce security controls.
- Develop integrations with APIs, cloud platforms (AWS, GCP, Azure), and security infrastructure to improve detection, response, and remediation.
- Write and maintain scripts and automations, with an emphasis on Python-based solutions, to streamline security operations.
- Establish monitoring and alerting for security posture, misconfigurations, and threats across endpoints, SaaS, and cloud workloads.
- Proactively identify and remediate security gaps; stay updated on emerging threats, solutions, and tooling across the industry.
And extra credit if you have experience in any of the following!
- Advanced identity management technologies (MFA, SAML, OAuth, OIDC, WebAuthn)
- Deep understanding of Okta's ecosystem, including advanced configuration and integrations
- Experience with continuous compliance solutions (e.g., policy-as-code, automated evidence gathering)
Additional requirements:
- This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.
#LI-HYBRID
#LI-SH1
P15265_3426903
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Data Scientist II
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Garner’s mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.
About the role:
We are seeking an exceptional Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You’ll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance – e.g., answering questions like, how do we know which providers deliver better surgical outcomes or what data concepts do we need to build out to improve our analysis. Your work will directly impact our member recommendations and provider-facing data products.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
- Partner with data scientists and clinical experts to shape how we define provider performance metrics, apply statistical rules, and model provider behavior
- Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors
- Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates.
- Design scalable data pipelines that ingest, clean, and enrich healthcare provider data.
- Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions.
The ideal candidate has:
- 2-5 years professional experience in data science, product analytics, and/or healthcare
- A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders
- Strong Python and SQL skills
- A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
- Experience working in a rapidly evolving startup environment
- A desire to be a part of our mission to improve the U.S. healthcare system
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
- Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is $160,000 - $185,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.
Ready to apply?
Apply to Garner Health
Data Engineer II
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Garner’s mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.
About the role:
We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
- Build, optimize, and maintain data pipelines that power our business
- Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
- Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
- Protect our users’ privacy and security through best practices
The ideal candidate has:
- 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
- Expertise in SQL and Python
- Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
- Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
- Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry.
- Familiarity with healthcare or insurance
- Familiarity with data security and HIPPA compliance
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is $125,000-$165,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.
Ready to apply?
Apply to Garner Health
Staff Data Scientist
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Garner’s mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.
About the role:
We are seeking an exceptional Staff Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You’ll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products.
You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
- Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality
- Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors
- Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates
- Serve as a subject matter expert for statistical modeling, improving methods for evaluating current models and future changes
- Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data
- Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions
- Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science team
The ideal candidate has:
- 8+ years professional experience in data science, product analytics, and/or healthcare
- A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders
- Strong Python and SQL skills
- Expertise in statistical modeling techniques and a track record of building impactful predictive models
- A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
- Experience working in a rapidly evolving startup environment.
- A desire to be a part of our mission to improve the U.S. healthcare system
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
- Python and Jupyter Notebooks, SQL (Snowflake), Argo, DBT, AWS, Terraform
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is $263,000 - $300,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.
Ready to apply?
Apply to Garner Health
Senior Product Manager
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Garner’s mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.
About the role:
We are seeking an exceptional Senior Product Manager to lead our Engagement team within our Growth Area. The Engagement team is responsible for maximizing user engagement of Garner by making Garner a useful, easy to understand, and personalized tool for members to manage their and their families’ healthcare.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
- You’ll be given wide-ranging responsibility to build and shape our member application, focusing on making Garner the one stop shop to find and manage healthcare
- Lead projects such as personalizing the app for families and dependents, developing our notification and member outreach infrastructure
- Define and develop the engagement roadmap, partnering with Growth Marketing, new products and features, as well as internal services and data products
- Drive new feature development from start to finish: from ideation to solution design, development, launch and iteration
- Define what success looks like, ensure we have the data in place to measure progress, and rally the team around what winning looks like
The ideal candidate has:
- 4+ years product management experience, with significant exposure to user-facing tools or applications
- Highly autonomous and thrives in taking ownership of complex, un-scoped problems
- A relentless learner with a proven track record of diving deep into large, complex domains and becoming the go-to expert
- Exceptional communication skills, both written and verbal, with the ability to clearly articulate vision and drive execution across teams and stakeholders
- Strong analytical skills, using data to guide product intuition and decisions
- Bonus points for experience or a degree in software engineering or data science, building healthcare consumer products, and/or managing and building large-scale data systems
- A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
- Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $181,000 - $225,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.
Ready to apply?
Apply to Garner Health
Senior IT Systems Engineer
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Garner’s mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.
About the role:
We are looking for an engineer who can walk into messy, cross-functional workflows and turn them into clean, automated systems that scale. This role focuses on identifying high-friction operational processes across the company and replacing them with durable, API-driven automation. You will work across IT, Security, Engineering, and Business teams to reduce manual work, improve reliability, and build systems that scale with the company.
This is not a ticket-driven IT role. You will operate with a high degree of ownership, driving initiatives end-to-end from problem discovery through implementation and rollout. You will be part of the Business Technology - Corporate Engineering team and report to the Director of Business Technology.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
- Identify and automate high-impact operational workflows across onboarding, offboarding, access management, and service delivery
- Replace manual, fragmented processes with scalable, API-driven systems
- Build and maintain integrations across HRIS, identity providers, SaaS platforms, and cloud environments
- Develop internal tools and automation using platforms like Retool, Okta Workflows, and custom scripts or services
- Apply infrastructure-as-code to manage and version system configurations
- Incorporate AI into workflows to improve efficiency in areas like ticket routing, knowledge retrieval, and decision support
- Design and automate access and security workflows that enforce least-privilege and auditability
- Own and drive cross-functional initiatives end-to-end, from problem definition through implementation and rollout
The ideal candidate has:
- 4–7+ years of experience in IT, platform engineering, automation, or similar roles
- Strong scripting or programming ability in Python, Go, Node.js, PowerShell, or similar
- Experience building API-driven automation across multiple systems
- Ability to design and implement workflows that span multiple tools and teams
- Experience with infrastructure-as-code such as Terraform or similar
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What will make you stand out:
- Hands-on experience with identity and access systems (Okta, SSO, SCIM, RBAC), including implementation and ongoing management
- Proven ability to build and scale internal tools using platforms like Retool or other low-/no-code solutions
- Familiarity with security automation and orchestration (e.g., Tines), with an eye toward reducing manual effort and risk
- Practical experience leveraging AI/LLMs to streamline and enhance operational workflows
- Strong understanding of compliance and security standards (HIPAA, SOC 2, HITRUST) and how they shape systems and processes
- Focused on driving meaningful outcomes
- Able to identify root-cause, system-level issues and design durable solutions rather than quick fixes
- Comfortable navigating cross-functional environments with competing priorities and constraints
- Operates with urgency while building scalable, maintainable solutions
- Defaults to automation and efficiency wherever possible
Technologies we use:
-
Okta, Okta Workflows, Retool, FreshService (ITSM), Google Workspace, Slack, Atlassian (Confluence and Jira), MDM platforms (Jamf Pro, Kandji/Iru, Intune), Airtable, AWS and GCP, Terraform, Rippling (HRIS), SOAR (Tines), and AI-enabled operational tooling (Claude, Gemini, OpenAI)
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is $153,000 - $190,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.
Ready to apply?
Apply to Garner Health
Senior Data Engineer
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Garner’s mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.
About the role:
We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
- Build, optimize, and maintain data pipelines that power our business
- Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
- Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
- Protect our users’ privacy and security through best practices
The ideal candidate has:
- 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
- Expertise in SQL, job experience, and demonstrated strength with Python
- Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
- Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake)
- Expertise with SQL tuning, Spark development, medallion and event-driven architectures.
- Familiarity with healthcare or insurance
- Familiarity with data security and HIPAA compliance
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
- Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $180,000.00 - $220,000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.
Ready to apply?
Apply to Garner Health