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

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join our Team!

As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly determine what science becomes possible. 

What You'll Do

• Work with high-dimensional scientific data formats and contribute to backend compatibility, format evaluation, and I/O performance benchmarking at petabyte scale.
• Define and shape the engineering patterns your team and collaborating researchers will build on for years; the abstractions you write today become the foundation others depend on at scale.
• Work at the intersection of AI systems and biological discovery, where the infrastructure problems you solve directly determine what science becomes possible.
• Deploy models to production and manage artifact tracking across models and datasets.
• Design and optimize GPU-native data loading pipelines for large-scale multi-dimensional tensor workloads, including profiling and resolving hardware utilization bottlenecks across multi-backend systems.
• Work on simplification and improvement of codebase abstractions to accelerate research momentum.
• Build and maintain primitives for pre-training infrastructure that ensure the reliability and continuity of large-scale training runs.
• Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring.
• Possesses the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training.
• Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration.
• Collaborate with partner researchers and engineers to deploy our technology within external infrastructure.

What You'll Bring

• Hands-on experience with PyTorch, including custom training loops, distributed training, or low-level performance work.
• Familiarity with GPU-native data I/O tools and large-scale tensor formats (e.g. Zarr, HDF5, TensorStore, or similar).
• Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Experience building or working with AI agent frameworks is a plus.
• A track record of building systems that other engineers and researchers depend on. Not just running experiments, but shipping infrastructure that scales.

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $150,000 to $350,000+ annually. Compensation ranges will vary based on job-related skills, level of experience, and knowledge. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid

About the Role

iCapital is seeking an experienced Pega Systems Architect to lead the design, governance, and technical direction of our Pega platform. This role will be responsible for ensuring the platform is scalable, secure, and aligned with enterprise architecture standards while supporting the delivery of workflow and case management solutions. The ideal candidate will establish development standards, guide architectural decisions, and mentor the technical team. This position plays a critical role in ensuring the long-term stability and success of the organization’s Pega platform.

Responsibilities

• Define and maintain the overall architecture and technical standards for the Pega platform.
• Establish and enforce Pega guardrails, development standards, and governance practices.
• Lead technical design and architecture reviews for new workflows, case types, and platform enhancements.
• Design scalable case management models, decision rules, and workflow orchestration.
• Provide guidance to developers on rule design, reuse, performance optimization, and best practices.
• Oversee integration design with internal and external systems (APIs, services, middleware).
• Troubleshoot and resolve complex platform or performance issues.
• Partner with DevOps and Infrastructure teams on environment management, deployments, and upgrades.
• Support platform roadmap planning, including version upgrades and new capability adoption.
• Mentor and provide technical leadership to Pega developers and engineering teams.
• Collaborate with business stakeholders and product owners to translate business processes into scalable Pega solutions and lead project management around implementation and creation of workflows.
• Participate in Agile ceremonies, backlog refinement, and release planning.

Qualifications

• Bachelor’s degree in computer science, information systems, engineering, or a related field (or equivalent experience)
• 5+ years of enterprise application development experience
• 3-5+ years of hands-on experience with the Pega platform
• Strong experience designing Pega case management applications and workflows
• Deep understanding of Pega rules engine, decision tables, data pages, and rule reuse strategies
• Experience building and managing system integrations using REST, SOAP, and APIs
• Familiar with application performance tuning and troubleshooting in enterprise systems
• Experience working in Agile software development environments
• Strong architecture, problem-solving, and technical leadership skills
• Pega Certified Senior System Architect (CSSA) or Lead System Architect (CLSA) certification is preferred
• Experience with cloud deployments (AWS, Azure, or Pega Cloud) and CI/CD practices is a plus

Benefits

The base salary range for this role is $150,000 to $170,000.  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.

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

Who You Are:

Working as part of the derivatives engineering team, you are an expert on data pipelining and API development. You have knowledge surrounding common derivatives pricing frameworks and inputs for different tradable assets, and how these inputs are derived. You also have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures. You have experience in using mathematical and financial libraries (i.e. SciPy, NumPy, QuantLib) in software engineering applications. You are also familiar with building deployment processes for applications, including unit testing, integration testing, and deployment to a cloud provider (EC2, Kubernetes). You have a curiosity for learning new technologies and expanding your expertise across business lines and technology stacks.

As a team member, you will also work on production support issues and be involved in improvements on CI/CD automation and DevOps. 

Knowledge of the following is an advantage:

• Python, Go, Java
• Derivatives Pricing Models (SABR, SVI)
• Kafka, AWS SQS, or MQ
• Relational and non-relational Databases (Postgres, SQL Server, Databricks)
• Time series databases
• Spark
• FastAPI, Pydantic
• Jenkins
• AWS
• Caching Strategies and Implementations
• In-Memory Data Management
• Experience with Docker

What You’ll Do:

• Work closely with the Derivatives trading desk in optimizing their trading and risk management tools, as well as building reusable derivatives pricing libraries and algorithms
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For: 

• 6+ years of professional experience working in software development
• Experience with building data pipelines, APIs, and reporting tools
• Experience in Financial Technology
• Strong knowledge of data structures, their implementations, and optimization techniques
• University degree in computer science, physics, engineering, or equivalent programming experience

Bonus Points: 

• Experience with LLM Finetuning and RAG Optimization
• Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
• Experience in quantitative trading

What We Offer:

• Competitive base salary and discretionary bonus
• Hybrid/Flexible Working Arrangements 
• Flexible Time Off (paid)
• 3% 401(k) company contribution
• Company-paid health and protective benefits for employees, partners, and other dependents
• Generous paid Parental Leave
• Competitive family planning benefits for US employees 
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues
• Free daily snacks and weekly breakfasts/lunches 
• Employee Resource Groups
• Free coaching and counseling sessions through Headspace

Apply now and join us on our mission to engineer a new economic paradigm.

The role:

As a Staff Full Stack Engineer, you will serve as a cornerstone of technical leadership, driving the ideation, architectural design, and optimization of enterprise-scale, full-stack ecosystems. We are seeking a visionary with 8+ years of engineering depth and a proven track record of delivering complex, end-to-end solutions. In this role, you will bridge the gap between high-level business strategy and technical execution, championing engineering excellence while serving as a pivotal mentor and subject matter expert to the broader engineering organization.

What you’ll do: 

Engineering & AI Architecture

• Architectural Leadership: Architect and deploy sophisticated, end-to-end applications, leveraging deep expertise in interactive interfaces and complex data integration—including the orchestration of AI-native database functions like Snowflake Cortex.
• Agentic AI Integration: Partner with AI specialists to architect multi-agentic systems, implementing autonomous, stateful workflows designed to solve high-consequence, real-world business challenges.
• Data Orchestration: Design and automate high-performance real-time and batch data pipelines using enterprise orchestration tools such as Apache Airflow, ensuring seamless data liquidity across the stack.

DevOps & Operational Excellence

• Infrastructure as Code (IaC): Standardize deployment lifecycles and cloud infrastructure by implementing GitOps methodologies via ArgoCD, GitLab CI/CD, and AWS best practices.
• Workflow Optimization: Deploy and tune complex business process engines within enterprise frameworks, ensuring maximum reliability, scalability, and observability.

Product Ownership & Strategy

• Technical Decomposition: Lead the translation of ambiguous product requirements into rigorous technical specifications, overseeing the entire execution lifecycle from initial ideation to post-deployment optimization.
• Strategic Collaboration: Act as a technical bridge between Product, Design, and Engineering to deliver member-centric solutions while fostering a culture of continuous learning and growth.

Governance & Innovation

• Technical Stewardship: Drive engineering rigor through comprehensive code and design reviews, serving as a final decision-maker for critical architectural choices and software standards.
• Innovation Advocacy: Maintain a cutting-edge pulse on GenAI, LLM infrastructure, and emerging tooling; proactively translating industry trends into actionable product roadmaps and enhanced technical capabilities.

What you’ll need:

Education & Experience

• Academic Foundation: Bachelor’s or Master’s degree in Computer Science, Engineering, or a strictly related technical discipline.
• Professional Tenure: 8+ years of robust software engineering experience, with a specialized focus on architecting full-stack AI-driven product ecosystems.
• Proven Reliability: A distinguished track record of delivering production-grade, highly available cloud services that operate reliably at enterprise scale.

Technical Mastery

• Full-Stack Command: Advanced proficiency in the React and Node.js ecosystems, with a mastery of seamless front-to-back-end integration for bespoke enterprise applications.
• Data & AI Infrastructure: Extensive hands-on experience with modern database platforms—Snowflake preferred—including the utilization of Snowflake Cortex and advanced AI/ML integration patterns.
• Pipeline Orchestration: Deep expertise in designing and managing complex real-time and scheduled data pipelines using Apache Airflow.
• DevOps & GitOps: Comprehensive experience in Infrastructure as Code (IaC) and environment management, utilizing ArgoCD and GitLab CI/CD to drive automated, resilient deployment strategies.

Leadership & Influence

• Strategic Mentorship: Committed to the growth of the engineering organization through active mentorship, fostering a high-performance culture, and elevating the technical caliber of the team.
• Operational Excellence: A relentless advocate for engineering rigor, consistently challenging the status quo to drive continuous improvement in code quality and architectural standards.
• Cross-Functional Diplomacy: Exceptional communication skills with the ability to bridge technical and non-technical domains, driving consensus and decision-making among diverse stakeholders.
• Organizational Catalyst: A proactive leader who takes end-to-end ownership, champions a culture of innovation, and builds influential partnerships across the broader engineering community.

Nice to have:

• Advanced AI & LLM Implementation: Direct experience deploying and scaling production-level Generative AI solutions, specifically LLM-powered agents or Retrieval-Augmented Generation (RAG) architectures.
• Sector Expertise: Previous background in Fintech or high-throughput consumer-facing environments, with an understanding of the unique security and regulatory nuances involved.
• Cloud Proficiency: Advanced experience with AWS ecosystem services and a broad familiarity with modern cloud-native orchestration platforms.
• Architectural Rigor: A sophisticated understanding of latency, throughput, and scalability trade-offs, with the ability to optimize complex distributed systems for performance.
• Computer Science Depth: Strong conceptual mastery of diverse programming paradigms, including Object-Oriented (OOP) and Functional Programming, to ensure clean, maintainable, and modular codebases.
• Evolving AI Ecosystems: Experience navigating and integrating emerging AI workflow orchestration tools and third-party AI research platforms.

The role:

As a Senior Full Stack Engineer, you will serve as a primary contributor in the development, deployment, and optimization of enterprise-grade, full-stack custom applications at scale. The ideal candidate brings 5+ years of robust engineering experience, a distinguished history of end-to-end delivery, and comprehensive mastery of software design—ranging from intricate user interfaces and business workflows to foundational back-end data architecture. You will collaborate with cross-functional teams to define technical strategy, advocate for engineering excellence, and deliver high-impact solutions directly to our member community.

What you’ll do: 

• Architect, design, and build end-to-end user-facing software applications using rich interactive user-interfaces with your expertise working with information extracted from databases and APIs (including leveraging native database functions such as Snowflake Cortex for advanced AI workloads).
• Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices.
• Collaborate with the AI engineers on the team to implement multi-agentic AI applications, enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving
• Own technical decompositions of new product requirements; lead delivery from ideation to deployment and continual improvement.
• Deploy, optimize, and monitor complex business process workflows on enterprise frameworks 
• Automate real-time and batch data flows using orchestration tools such as Apache Airflow.
• Participate in code and design reviews, and make technical decisions for design and architecture of software solutions.
• Collaborate with Product, Design, and Engineering to deliver high-impact solutions and foster a growth-mindset environment.
• Stay current with the latest trends in software engineering, GenAI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.

What you’ll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional software engineering experience, with a focus on full-stack frameworks and engineering to develop custom product delivery specializing in AI
• Solid devops and infrastructure-as-code experience using ArgoCD and GitLab for deployment, CI/CD, and environment management.
• Advanced proficiency in React, Node.js, and front-end–to–back-end custom app development.
• Extensive hands-on experience with database platforms - Snowflake strongly preferred, including advanced features, AI/ML integrations, and Snowflake Cortex.
• Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.
• Track record of delivering high-quality, production-grade, scalable, and highly available cloud-based services.
• Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders.
• Willingness to take ownership, and champion learning and innovation within the organization.

Nice to have:

• Exposure to other cloud-native or AI workflow orchestration platforms.
• Experience with AWS
• Prior fintech or high-throughput consumer product experience.
• Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.

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.

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.

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.

We are seeking a high-energy, innovative IBM Principal Specialist to drive new business for MongoDB, the world’s most popular and fastest-growing modern database platform. This role is a unique opportunity to build, execute, and scale a world-class IBM Co-Sell Partnership that delivers meaningful value to IBM, our joint customers, and MongoDB.

As the IBM Co-Sell Principal (Americas), you will own the IBM OEM and co-sell motion across the Americas (with a primary focus on North America). You will lead joint go-to-market initiatives, partner closely with IBM & MongoDB sellers, and play a critical role in driving MongoDB revenue growth, accelerating pipeline, and addressing skills, product and solution gaps through strategic partnership alignment.

The ideal candidate brings a proven track record of executive-level relationship building, hands-on sales execution, cross-organizational collaboration and success navigating large, complex enterprise deals. You will serve as MongoDB’s internal IBM expert for the Americas co-sell motion and be a trusted partner to IBM & MongoDB field sellers, working cross-functionally in a fast-paced, high-growth environment.

Responsibilities:

• Work with IBM’s Americas partner ecosystems leads and regional sales leadership to continuously improve and optimize the account level engagement and go-to-market outcomes
• Conduct industry and regional analysis to inform and optimize IBM co-sell strategy across the Americas, with emphasis on North America
• Partner Sales Execution
  • Collaborate with IBM’s account teams and MongoDB direct sellers on large, complex joint opportunities
  • Support and close business to meet or exceed monthly, quarterly, and annual bookings targets
• Partner Sales Enablement
  • Drive joint sales enablement with IBM to ensure field alignment, clarity of value proposition, and effective engagement models
  • Develop and execute GTM initiatives that generate joint customer demand
  • Oversee lead tracking, deal registration, pipeline development, and joint reporting
•  Manage interlocks with Americas MongoDB’s Sales team, Partner Sales and Solution Architect teams, Pre-sales, Post-sales, Deal Strategy, Legal, Revenue, Ops, Product Engineering, and Marketing
• Build strong and effective relationships with both internal stakeholders and partner executives, as well as triangulation with other partnerships
• Partner Management & Success
  • Build and manage all aspects of the IBM partnership, including KPIs, QBRs, executive relationships, and operating cadence
  • Ensure MongoDB is top-of-mind and recommended within IBM customer opportunities
  • Drive mutual accountability and execution against shared success metrics
• Participate in MongoDB’s sales enablement programs, including Sales Bootcamp, advanced sales training, and leadership development initiatives 

Requirements:

• Energetic, resourceful, entrepreneurial, and tenacious team player
• 5+ years of quota-carrying experience generating pipeline and closing deals through or with IBM
• Experience working with or at IBM, including OEM and reseller motions
• Experience selling into BFSI accounts (Banking, Financial Services, and Insurance)
• Understanding & knowledge of IBM’s Data & AI portfolio, IBM Cloud, IBM Z & LinuxOne (IFLs), and the watsonx ecosystem
• Demonstrated ability to build executive-level relationships and influence C-suite stakeholders
• Technically knowledgeable in enterprise software and cloud computing space with familiarity with databases, DevOps, and open-source technology
• Consistent record of exceeding goals in highly competitive environments
• Strong communication skills with the ability to clearly articulate business value in complex enterprise sales
• Acute attention to detail, particularly in licensing models and complex contract negotiations
• Proven ability to structure and negotiate proposals and develop joint business plans
• Experience developing partner value propositions and executing GTM programs, including joint enablement, demand generation, deal registration, and reporting
• Formal sales methodology training (e.g., MEDDIC, SPIN, Challenger)
• Strong ability to build champions and manage complex, multi-stakeholder sales cycles
• Possess aptitude to learn quickly, problem solve, and establish credibility
• Exhibit a high EQ and self-awareness to navigate various regional and cultural differences toward a common goal
• Ability to operate autonomously in a fast-paced environment and gain alignment across broad stakeholder groups
• Passion for growing a career in the largest market in software and developing deep expertise in MongoDB’s product portfolio

Why Join MongoDB

MongoDB invests heavily in the development of each of our new hires & continuous career development.

• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)

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: 426236

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.

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.

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.

What You’ll Do:

CoreWeave’s Security Organization ensures that technology systems and processes meet the highest standards of internal controls, audit readiness, and regulatory compliance. The team partners across finance, engineering, DevOps, and security to manage risk, drive process improvements, and maintain alignment across stakeholders.

About the role:
As the SOX IT Lead, you will own and execute the technology- and product-related components of CoreWeave’s SOX 404 compliance program. You will assess new products and engineering changes for compliance, implement and monitor controls, and partner closely with engineering, security, DevOps, and finance teams. Your day-to-day responsibilities include testing high-risk controls, performing root cause analysis for control failures, driving remediation, and continuously improving the SOX program as CoreWeave’s products and risk profile scale.

Some of what you’ll work on:

• Lead the end-to-end SOX program for technology and product systems, including onboarding, risk assessments, and control design for new features and significant engineering changes.
• Identify SOX risks and key controls; maintain the RCM and oversee ITGCs and ITACs design and operating effectiveness.
• Collaborate with Product, Engineering, DevOps, IT, Finance, and Internal Audit to align on risk, controls, and launch readiness.
• Review control designs prior to go-live to ensure early identification and mitigation of SOX risks.
• Conduct rigorous testing of high-risk controls, including access management, change management, and data integrity.
• Lead root cause analysis for control failures and incidents; implement and validate remediation plans to ensure sustainable solutions.
• Track and resolve control issues, identify systemic gaps, and drive durable improvements to prevent recurrence.
• Serve as the primary liaison to Internal and External Audit on technology- and product-related SOX matters.
• Continuously improve the SOX program through metrics, automation, and monitoring.

Who You Are:

• 8–15+ years of experience in SOX, IT Compliance, or Security GRC, ideally in a public-company SaaS environment.
• Deep hands-on experience with SOX 404 control design, testing, issue management, and audit readiness.
• Proven track record of supporting product and engineering organizations.
• Strong understanding of ITGCs, application controls, and risk assessments.
• Hands-on, strategic, and execution-focused; able to thrive in fast-paced and evolving environments.
• Bachelor’s degree in Information Systems, Computer Science, Accounting, or related field.
• CISA or similar certification is a plus.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• Strong knowledge of Identity and Access Management (IAM) and change management/SDLC controls.
• Familiarity with cloud and SaaS control environments (AWS, GCP, Azure, major SaaS platforms).
• Experience analyzing system logic, configurations, and automated workflows.
• Hands-on experience implementing or operating ITGCs and/or ITACs.
• Deep understanding of SOX requirements and financial reporting risks.
• Ability to distinguish key controls from non-key controls and prepare audit documentation.

Familiarity with core financial processes is a plus:

• Order-to-cash, Procure-to-pay, Record-to-report.
• Understanding of financial statement assertions (accuracy, completeness, cutoff, valuation).

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $143,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

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 

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:

• Build and Automate ML Pipelines: by owning robust CI/CD pipelines for automated model training, validation, deployment, and retraining.

• Productionalize Models: Build the process for packaging, containerizing, and deploying ML models as scalable, low-latency, and highly-available services.

• Monitoring and Operations: Implement and manage comprehensive monitoring for production models, tracking system health, data drift, and model performance degradation.

• Tooling and Infrastructure: Manage and evolve our MLOps toolchain, including model registries, feature stores, experiment tracking systems, and model serving platforms.

• Collaboration and Support: Partner with data scientists to understand model requirements and optimize them for production. Support software engineers in integrating with ML services.

• Best Practices and Governance: Champion and enforce MLOps best practices for reproducibility, versioning (data, code, model), testing, and governance.

• 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

• 2+ years of experience programming in Python or Go

• Experience building and managing CI/CD pipelines (e.g., Github Actions, Jenkins, GitLab CI)

• Hands-on experience with containerization and orchestration (e.g., Docker, Kubernetes)

• 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

• Experience with data processing frameworks (e.g., Spark, Dask, or Ray)

• Experience with low-latency no-sql datastores (BigTable, Dynamo, etc)

• Familiarity with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, or ELK)

• Knowledge of data engineering pipelines and orchestration tools (e.g., Airflow, Prefect)

REQ-019522

#LI-hybrid

About the Role

The Quality Engineering team at The New York Times is hiring a QA Engineer. You will work with software engineers, DevOps, product managers, and designers to support quality across our web, mobile, and API platforms.

You will develop automated test frameworks, strengthen CI/CD reliability, and improve release confidence through scalable automation practices.

This role is hybrid and based in New York City, with an expectation of two days per week in the office. You will report to the Senior QA Manager.

Responsibilities:

• Design automated testing frameworks in Python for APIs, web, and mobile applications
• Develop and integrate automated test workflows into CI/CD pipelines
• Improve test reliability, execution speed, and coverage across environments
• Develop scalable test environments using containerization and cloud infrastructure
• Collaborate with engineering, DevOps, and product teams to define test strategies early in the development lifecycle
• Integrate logging, monitoring, and metrics into testing workflows to improve defect detection and release confidence
• Contribute to documentation and standards for automation and TestOps

Basic Qualifications:

• 3 years of experience in test automation, software engineering, or quality engineering
• Proficiency in Python and experience building maintainable automation frameworks
• 3 years of experience with modern test automation tools such as PyTest, Playwright, Selenium, or Appium
• 3 years of experience testing REST, GraphQL, or gRPC APIs
• Hands-on experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI)
• 3 years of experience with Docker and familiarity with Kubernetes
• 3 years of experience working in cloud environments (AWS, GCP, or Azure)

Preferred Qualifications:

• Experience with mobile test automation
• Experience with test environment provisioning and infrastructure-as-code
• Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude) in software development workflows
• Experience improving observability or quality metrics within engineering teams

#LI-Hybrid

REQ-019672

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

• You will build infrastructure to train and test algorithms that provide real-time content recommendations and personalization

• You will enhance ML platform's CI/CD and integration testing capabilities

• 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

• 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

• 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

• Experience building real-world machine learning applications like recommendation systems, bandits, etc.

• 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

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:

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

About the Role

The Reflections team at The New York Times is looking for a Backend Software Engineer. You will be part of a diverse team that includes native mobile engineers, web/backend engineers, QA, product managers, designers and data experts.

The Reflections team focuses on personalizing the Times experience, making it feel "yours." We aim to help users effortlessly discover and regularly engage with the journalism they value most, strengthening. and deepening their relationship with the Times.

This role is hybrid, located at our New York City headquarters, and typically requires coming into the office two days per week.

Responsibilities:

• Collaborate with design, product, web, backend, and native mobile engineers to refine requirements and develop new features across our platform.
  
  
• Design, build, and maintain backend services primarily in Go (Golang), developing scalable REST or GraphQL APIs and writing high-quality, production-ready code following engineering best practices.
  
  
• Develop and improve Go-based services and microservices, integrating with databases, internal systems, and cloud infrastructure.
  
  
• Contribute ideas that help shape the direction of our products and actively participate in solving meaningful technical challenges.
  
  
• Participate in technical discussions and architecture decisions with native mobile, web, and backend engineers, as well as owners of internal and external dependencies.
  
  
• Work across multiple parts of the stack when needed while maintaining a strong focus on backend service development in Go.
  
  
• Provide production support by participating in on-call rotations for the services and systems we build.
  
  
• Contribute to iteration on internal team processes and norms.
  
  
• 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.
  
  
• You will report to the Engineering Manager
  
  

Basic Qualifications:

• 3+ years of full-time experience developing backend APIs using Go (Golang), including building REST or GraphQL services in production environments. Experience with additional backend technologies such as TypeScript, Node.js, or Express is a plus.
  
  
• 3+ years of experience working with SQL or NoSQL databases, such as PostgreSQL or DynamoDB, including designing schemas, writing queries, and integrating data storage with backend services.
  
  
• 3+ years of experience building and deploying services on public cloud platforms, such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
  
  
• Experience working in Agile software development environments, collaborating with cross-functional teams through iterative development, testing, and release cycles.

Preferred Qualifications:

• Familiarity with GraphQL.
  
  
• Familiarity with containers and container orchestration systems like Kubernetes, Docker.
  
  
• Familiarity with CI/CD techniques and tooling (e.g. Jenkins, drone), automated testing and deployments, and other DevOps practices.
  
  
• Understanding of caching and content delivery.
  
  

This role will require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. This role also requires availability to our core working hours which are 10am - 6pm ET.

#LI-Hybrid

REQ-019607

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

About the Role:

The New York Times is looking for a Senior Engineering Manager to lead our Integrated Messaging team within the Messaging Platforms group. This is a full-stack engineering team responsible for the end-to-end experience of our direct-to-consumer messaging. We build both the high-throughput delivery engines that power native push notifications for millions of readers and the internal applications that allow our newsroom and marketing partners to orchestrate these communications.

We are at an inflection point. As we evolve our messaging strategy, this team will lead the expansion into new channels like WhatsApp and SMS. As a Senior EM, you won't just manage a stable platform; you will design the team and the technology required to reach our audience wherever they are. You will oversee a diverse technical stack ranging from low-latency backend integrations to the user-facing tools that make our messaging platform powerful and intuitive.

You will join an organization that values empathy, collaboration, transparency, and diversity.

Responsibilities:

• Lead a Full-Stack Team: Manage a high-performing team of engineers (typically 7–12) working across the stack, from backend distributed systems to frontend management applications.
• Design Multi-Channel Growth: Guide the technical vision and roadmap for expanding our capabilities beyond native push into WhatsApp, SMS, or other emerging messaging channels.
• Balance Systems & Applications: Oversee the development of high-availability delivery services alongside the internal tools and UIs that our editorial and product teams use to reach readers.
• High-Stakes Delivery: Ensure the reliability and sub-second delivery of push notifications.
• Strategic Partnership: Partner with Product, Design, and Data counterparts to prioritize investments that balance immediate operational needs with long-term platform modernization.
• Group Leadership: Contribute to the broader Messaging Platforms group by leading cross-team technical or cultural programs alongside the Group EM cadre.
• Champion Excellence: Represent the team in high-level technical discussions, identifying risks and making calculated tradeoffs between feature velocity and platform stability.
• 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 Director of Engineering for Messaging Platforms.

Basic Qualifications:

• 3+ years of experience as an Engineering Manager, with a proven track record of managing high-functioning teams.
• Full-Stack Leadership for High-Availability Systems: Experience managing cross-disciplinary engineers (Frontend, Backend, DevOps) and overseeing mission-critical production operations.
• Demonstrated experience in driving transformation, leading teams through changes in technical strategy, organizational structure, or product direction.
• Strong People Development Skills: A history of coaching, mentoring, and growing the careers of engineers at various levels.

Preferred Qualifications:

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-019924

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:

• You will research, develop, and deploy infrastructure for the Machine Learning Platform that supports large-scale multi-tenant workloads

• You will build a platform to train and test algorithms that provide real-time content recommendations and personalization to our readers

• You will enhance ML platform's CI/CD and integration testing capabilities

• 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

• 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 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 (Drone, Argo, Jenkins, etc)

• Experience leading the development of large-scale, data-driven, distributed multi-tenant systems

• Proficiency 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, BigTable or other NoSQL datastores such as Cassandra, DynamoDB, Redis

• Familiarity with ML tooling such as Triton, TensorFlow, scikit-learn

• Experience building the infrastructure that power real-world machine learning applications like recommendation systems, bandits, etc.

• 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

Xebia is a pioneering Software Engineering and IT consultancy company, transforming and executing at the intersection of Domain and Technology to create digital leaders for our people, clients, partners, and communities.

With over 20 years of experience, we help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services.

We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Low Code, and Microsoft Solutions.

Our mission can be captured in one word: Authority which means being a recognized leader in the service lines we serve. As professionals, as a global company, and as a digital pioneer.

The only way we can achieve this is by constantly reinventing ourselves, hiring exceptional talent, claiming the position of thought leader, and sharing our knowledge. That’s what got us to where we are today, and we’re incredibly proud of that.

Xebia is always on the lookout for extraordinary people. We believe that quality without compromise starts with our people. We care about mutual respect, appreciating cultural differences, and complementing, strengthening, and motivating each other to become an authority in your field.

Supporting the passion of exceptionally smart people is the foundation of our organization. Everything we do – our mission, values, strategic innovation, hiring process, and knowledge management – is anchored on this principle. At Xebia, we learn, grow, explore and create new frontiers in business together. For more details please visit www.xebia.com

About the job

We are seeking a highly motivated Sales Director with a proven track record in selling software product engineering to join our team. As the Sales Director, you will be responsible for developing new business opportunities and driving revenue growth within Xebia’s Software Technolgy service line.

Xebia is actively looking for sellers who have at 12+ years experience with ambitions to develop 3x to 5x sales funnel in the North America region and converting that into revenue by opening net new, greenfield logos as well as mine the existing install base of Xebia for cross-sell opportunities.

Responsibilities

We are looking for an exceptional Sales leader (individual contributor) with the following responsibilities:

• Acquire new ISV and enterprise customers across North America by selling software product engineering services to ISVs and software driven businesses
• Prospect into and build long term relationships with key contacts at target customers
• Maximize existing relationships by engaging clients as their primary touch point
• Utilize strategic client hunting practices, industry/market analysis, internal communication, external promotions, and constant in-depth client analysis to uncover revenue opportunities.
• Develop and perform strategic prospecting activities to generate pipeline and grow territory
• Build, Manage and accurately forecast a strong Sales Pipeline and revenue
• Customer profiling, account planning against set revenue / margin targets by services line at the account level.
• Anchor client meetings and pursue opportunities generated with the help of pre-sales, delivery, and external partners.
• Build in-depth knowledge of clients' business priorities, challenges and initiatives that can be translated into opportunities.
• Willingness to work with a geographically distributed team structure in an extremely fast-paced and challenging environment.
• Understand and respond to client’s business issues by developing a go-forward roadmap
• Has experience in driving and managing multi year product engineering deals.
• Continuously learn about Xebia’s offerings, successes, and business ecosystem to share and bring insights to clients.
• Using CRM effectively to track opportunities and sales forecasts in a weekly, monthly, quarterly and annual planning rhythm for your region with high levels of predictability, quality and accuracy

Qualifications

• 12+ years of experience in software product development services selling to ISVs primarily as well as software driven businesses, including multi year contracts
• Demonstrable experience in working with engineering, product and technology organizations within the customer base
• Demonstrable experience in achieving annual revenue targets, primarily on net new logos
• Experience and exposure to the VC and PE partner ecosystem is highly preferred
• Highly referenceable previous/current customers
• Experience with the global deliver model, particularly in outsourcing and transformation
• Ability to manage in a complex matrix environment and should be strong and focused on Customer Service excellence
• Excellent Relationship Building Skills
• Excellent communication skills, both oral and written
• Strong product engineering services selling background
• Legitimate and proven self-starter. Highly motivated to jump in and get things done
• Excellent leadership and communications skills required. High comfort level working with all levels of an organization, including C-suite
• Knowledge of Data/AI and integration is preferred
• High level technical and software delivery knowledge is preferred with exposure to full stack development, devops, QA automation and product support

Benefits:

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare and Dependent Care)
• Short-Term and Long-Term Disability
• Life and AD&D Insurance
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan

Xebia | Shaping Tomorrow With AI Today

Xebia is a global, award-winning, AI-first consulting, software engineering, and training company. We shape tomorrow with AI today helping organizations turn AI strategy into production-ready solut...

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.

Octus delivers breaking news and market-moving intelligence through cutting-edge data and technology for hedge funds, investment banks, and law firms- and we’re transforming how professionals access complex and opaque information. As part of our high-performing AI Innovation team, you’ll help design, build, and productionize modern GenAI and LLM-powered systems that support both client-facing features and internal operational efficiency. You’ll work end to end—from shaping ambiguous problems into scalable solutions to deploying reliable AI models in production - collaborating closely with product, engineering, and infrastructure teams. This is a hybrid role based in NYC (3 days in office per week). Curious about what we’re building? Check out our flagship GenAI product, CreditAI here and our AI framework here.

Responsibilities

• Apply strong problem-solving and critical thinking skills to break down complex, ambiguous requirements into clear, implementable technical components and system designs.
• Design, build, and maintain AI-powered and data-driven systems with a focus on modern language and multimodal models, including LLM-driven applications, RAG pipelines, and agentic workflows.
• Evaluate and productionize commercial and open-source LLMs, choosing appropriate models, tools, and techniques for each use case. Develop multi-step agentic workflows that incorporate tools, external data sources, memory, and control logic.
• Manage the orchestration of production LLM workflows and agentic systems, ensuring reliability and efficiency through prompt routing, state management, retries, fallbacks, and error handling. Design, test, and iteratively refine prompts and system instructions using prompt engineering and tuning techniques to improve model reliability, accuracy, and task performance.
• Maintain production-grade code and services with automated monitoring and performance tracking, using metrics and alerts to guide continuous improvements in models, prompts, and pipelines.
• Apply systems thinking to design and optimize AI and LLM systems, balancing quality, scalability, latency, cost, and operational complexity, while implementing efficiency improvements using model selection, prompt design, batching, caching, and retrieval strategies.
• Define and implement evaluation and observability frameworks for AI systems, including automated testing, task-specific benchmarks, regression testing for prompts, human-in-the-loop validation, and performance monitoring.
• Build and integrate AI models into backend systems and APIs to support both real-time and batch inference, ensuring solutions are production-ready, scalable, and efficient.
• Apply NLP and ML techniques to tasks such as information extraction, semantic search and retrieval, text classification, summarization, and reasoning over text and documents.
• Collaborate closely with engineering and infrastructure teams to deploy solutions using containerized and cloud-based environments (e.g., GitHub, Docker, AWS), applying modern deployment and infrastructure practices.
• Collaborate with product managers, business stakeholders, and domain experts to translate complex, ambiguous business problems into actionable technical solutions, and communicate progress, trade-offs, and outcomes to relevant stakeholders.
• Continuously learn and adapt to advancements in NLP and Generative AI to ensure solutions remain innovative and effective.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• 3+ years of experience as a Data Scientist, Machine Learning Engineer, or applied AI practitioner, with a strong foundation in computer science, algorithms, and software development. 
• Advanced programming skills in Python, with experience building production-grade systems beyond research or experimentation.
• Solid understanding of machine learning and applied AI concepts, with experience taking solutions from prototype to production.
• Hands-on experience designing, building, and deploying LLM-driven or GenAI applications, including familiarity with vector databases, embeddings pipelines, or semantic search systems.
• Practical experience with cloud-based deployments and infrastructure tools (e.g., AWS, Docker, GitHub) and an understanding of modern DevOps practices, containerization, orchestration, caching strategies, and cost-aware design.
• Strong problem-solving skills and systems thinking, with the ability to balance trade-offs across model quality, scalability, inference latency, cost, and operational complexity.
• Ability to interpret and implement research ideas and algorithms, actively contributing to research and development initiatives while translating them into production solutions.
• Excellent communication and collaboration skills, with experience working closely with product managers, engineers, and domain experts to deliver actionable technical solutions.
• Passion for learning and staying current with the rapidly evolving AI/ML landscape, including emerging best practices for GenAI applications.
• Strong ownership and initiative, with the ability to independently drive projects from problem definition to delivery, while being a team player and contributing to the overall success of the data science team.

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 $130,000-$145,000.

The actual compensation will be at Octus’ sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for a performance-based annual bonus.

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.

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced in using presentations, email, phone, and social media to connect with customers virtually and in person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to educate Okta’s Customers (from developers to product managers to C-level executives) on best practices throughout their cloud security technology journey. 

We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager, Solutions Engineers, this Senior Solutions Engineer (Okta) will partner with Commercial Account Executives. As a Senior Solutions Engineer at Okta, you will be the technical lead in all stages of the customer lifecycle. You will focus on delivering customer value by aligning customer requirements to business results enabled by Okta solutions. You will contribute to account and opportunity strategies and, collaboratively, demonstrate the value of Okta solutions through presentations, whiteboard sessions, and proof-of-concept demonstrations.

What You’ll Do

As a Senior Solutions Engineer, you’ll be a strategic technical expert for a customer-facing sales team. You'll use your skills to:

• Work alongside the Corporate/Expansion (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Serve as a technical advisor: Partner with the sales team to educate customers on Okta’s identity solutions and demonstrate their value.
• Solve customer challenges: Understand customer needs and provide tailored product demonstrations to show how our solutions can solve their business problems.
• Lead technical engagements: Answer product and technical questions, and plan and deliver complex Proofs of Concept (POCs) by collaborating with other Okta engineering teams.
• Drive product and knowledge growth: Share customer feedback with our product teams to influence future enhancements and contribute to the team's knowledge by sharing best practices and reusable assets.
• Stay ahead of the curve: Keep up with competitive analysis and market differentiation to better position Okta.
• Support company events: Represent Okta at marketing events, including conferences, user groups, and trade shows.

What You’ll Bring

• Experience: 8+ years of experience in pre-sales engineering and solution selling, with a strong background in Enterprise account segments.
• Technical Acumen:
• Deep understanding of identity protocols (e.g., SAML, OIDC, OAuth, FIDO, Passkeys, SCIM, LDAP).
• Working knowledge of cloud platforms like AWS, Azure/Entra, and GCP.
• Experience with REST APIs and SDKs.
• Hands-on experience in one or more of the following: front-end web development, back-end development, scripting (Bash, PowerShell), or DevOps (Docker, Kubernetes).
• Understanding of identity-related cybersecurity topics (e.g., phishing, MFA bypass attacks, privilege escalation).
• Communication & Presentation Skills: The ability to simplify complex technical concepts and deliver compelling presentations to diverse audiences, from developers to C-level executives. You should be skilled at diagramming user journeys and complex architecture.
• Strategic Mindset: Proven skills in territory management, including building pipelines and collaborating with sales counterparts.
• Travel: Ability to travel up to 25% of the time.
• A bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.

Bonus Skills (Ideally, You Have)

• Experience in the IAM space
• Hands-on knowledge of Identity Governance (IGA) or Privileged Access Management (PAM) solutions.
• Practical experience with Windows Server, Active Directory, LDAP, and Federation services.

You might also have (not mandatory):

• AI & Emerging Tech: Expertise with Agentic AI and LLM-based workflows. You understand the use cases for AI agents, both internal and external, and have familiarity with MCP servers.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

#LI-Remote

#LI-CM

P10563_3394826

Are you an experienced and driven product manager who’s passionate about securing the world’s largest organizations through a modern, cloud-first approach? Join Okta as we expand Okta’s Privileged Access Management (OPA) product—built for scale, simplicity, and seamless integration with the Okta platform.

You’ll play a central role in shaping a product that protects critical infrastructure and privileged resources across cloud and hybrid environments. This is a high-impact, hands-on opportunity to collaborate cross-functionally, define strategy, and deliver a differentiated Privileged Access Management (PAM) solution at scale.

Responsibilities

• Customer & Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders including the go-to-market team to distill feature asks, gather feedback, validate use cases, and ensure product-market fit.
• Product Scope: Define and own the product strategy and roadmap for PAM capabilities across a range of systems (cloud platforms, databases, DevOps tools, and legacy infrastructure).
• Roadmap Ownership: Identify, prioritize, and drive development of new features and integrations based on market needs, customer input, and technical feasibility. Define and communicate clear product requirements, including features, user experience and functional specifications, to engineering teams.
• Technical Collaboration: Work closely with engineering and architecture teams to define connector protocols, APIs, and deployment models that align with cloud-native principles while balancing an intuitive user experience.
• Delivery & Execution: Drive cross-functional execution with design, engineering, QA, support, and documentation teams to deliver high-quality features on time.
• Market Awareness: Track industry trends and emerging technologies in order to think strategically for developing solutions that are differentiated from the competition in the Privileged Access Management space. 
• Data-Driven Insights: Leverage product data to continually improve existing functionality and work across the business to drive adoption and success.
• Subject Matter Expertise: Be the subject matter expert for your product area, enabling your counterparts in marketing and technical sales with the knowledge and tools needed to effectively position Okta Privileged Access.

Required:

• 5+ years of technical product management experience in enterprise-scale SaaS products, or an equivalent background demonstrating core product management competencies
• Knowledge of Privileged Access Management (PAM) protocols and concepts, including credential vaulting, session recording, just-in-time access, and/or privileged elevation
• Proven track record of delivering features or products that drive meaningful business outcomes
• Analytical and decisive with the ability to drive action even with incomplete or ambiguous information
• Excellent communication skills and ability to work cross-functionally with research, design, engineering, sales, and customer success teams
• A passion for Okta’s mission, coupled with curiosity and a drive to understand both business strategy and technical detail
• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience

Preferred:

• Domain knowledge or implementation experience with products related to privileged access management
• Hands-on technical background and prior experience in engaging deeply with technical customers and engineering
• Prior experience with building connector SDKs, APIs, or technical integrations
• Familiarity with zero trust, infrastructure-as-code, or cloud security tooling
• Advanced degree in a technical or business field

#LI-MM

#LI-Hybrid

P22466_3418593

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

While previous experience in the trading and finance industry is beneficial, we’re looking for talented software engineers with or without industry-specific expertise. We are open to remote workers for this role with the correct set of skils.

UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

UP - PI (Platform Infrastructure) Writes and operates systems that accelerate other development teams. They provide managed services to technologists across all of DRW, helping domain experts focus on their business-critical goals. They create software to connect people, projects, and information, preventing silos and opacity.

For the appropriate candidate, we are open to remote employees for this role.

Expectations:

• Write, maintain, operate and improve managed infrastructure services for technologists firm-wide
• Design and communicate standards for how centrally managed services can be used
• Support internal technologists with triage, education, and consulting
• Write, maintain, operate, and improve bespoke applications for internal use, focused on visibility and integration across teams.
• Enable other teams to focus on business domains.
• Influence outcomes through dozens of software teams.
• Broadcast contagious passion for developer experience.
• Consolidate diverse and redundant approaches to common problems.

Desirable Experience:

• Three or more years of high impact contributions in Software Engineering, DevOps, SRE, Platform Engineering or adjacent roles
• Expertise in operating infrastructure at scale
• Expertise in Kubernetes, Apache Airflow, Kafka, Redis
• Proficiency in at least one of Python, Go, Java, Ruby
• Comfort deploying software to the cloud and on-premises
• Proven success in elevating standards for non-functional requirements like security, observability, reliability, and speed of delivery
• Informed perspective about AI Agents as development tools
• Record of accomplishment of enhancing the capabilities of other engineers and teams

The annual base salary range for this position is $100k to $175k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-SK1] 

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the next generation market data provider — with the radical idea that you should only pay for the data that you use. We power the world's largest finance and fintech institutions and lower the barrier of entry for small startups, gaining over 4,000 users during our first year of launch. Our team brings former experience at the world's leading quantitative firms, including Two Sigma, Flow Traders, Tower Research, PDT Partners, SIG, and more.

We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency.

Responsibilities

• Systems and network configuration.
• Bare-metal and containerized application deployment.
• Maintaining large storage clusters.
• Instrumenting performance measurement and alerts.
• Improving systems automation and tooling.
• On-call support.
• Coordinating bulk data delivery to customers and vendor partners.
• Occasional physical infrastructure deliveries and systems provisioning.

Required qualifications

• Strong Linux knowledge.
• Experience with systems configuration and provisioning (PXE, Puppet, and Ansible preferred; Terraform).
• Understanding of storage concepts (RAID, LVM, popular filesystems, distributed storage).
• Basic networking (OSI model, IP protocols, switching/routing).
• Ability to code in Python and write shell scripts.
• DevOps/GitOps mindset.
• Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles.
• Bachelor’s degree in Computer Science or a related field.
• Candidates must be authorized to work in the U.S.; H-1B visa sponsorship is not available.

Nice-to-haves

• Experience with distributed storage systems (e.g., Ceph).
• Customer support experience and strong problem-solving abilities.
• Prior experience at a trading or fintech firm, or a strong interest in learning fintech.
• Database administration (MySQL, ClickHouse, Redis).
• Cloud engineering basics (AWS, GCP — compute, storage).
• Virtualization and compute workloads (Proxmox, Docker, Kubernetes, HTCondor).
• Systems and network tuning.
• Monitoring and alerting (Prometheus, Grafana, Alertmanager, Loki).
• Ability to travel to data centers in New Jersey or Boston on short notice (within one week).

The Infrastructure Monitoring organization at Datadog is responsible for delivering the products that give engineering teams complete visibility into the health and performance of their infrastructure — from hosts and containers to cloud-native and hybrid environments. We are looking for a Director of Product Management to lead and shape the roadmap and delivery of our Infrastructure Monitoring product capabilities at Datadog in the AI era.

In this role, you will bring a combination of technical expertise, product management experience, and a deep understanding of infrastructure and observability to help Datadog grow it’s leadership position in infrastructure monitoring. You will lead a team of product managers and collaborate with senior leadership in product, engineering and design.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.


What You'll Do:

• Own the vision and strategy for Infrastructure Monitoring products, ensuring alignment with overall company goals and customer needs. This will include managing a subset of the infrastructure product portfolio..
• Identify new opportunities for infrastructure product innovation and drive them from concept to execution, ensuring they have a measurable impact on customers and the business.
• Define product roadmaps and manage the prioritization of features and initiatives to ensure the team's efforts are aligned with business goals.
• Drive AI-powered product innovation by identifying and embedding AI capabilities into the infrastructure monitoring product suite and support customers transformation with AI
• Work closely with customers and stakeholders to deeply understand their pain points, ensuring that infrastructure monitoring solutions are delivering tangible value and solving real-world problems.
• Collaborate with cross-functional teams including engineering, design, data science, marketing, and sales to deliver infrastructure product solutions that meet customer needs and business objectives.
• Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, customer-impactful features. 
• Promote a product-first mindset across the organization, ensuring that the user experience and business value are central to every product decision.
• Foster a culture of innovation and excellence in infrastructure product development, ensuring that Datadog remains the leader in infrastructure observability.
  
  

Who You Are:

• Experience: You have proven experience in B2B SaaS product management, with a track record of successfully leading the development and delivery of AI-driven products and solutions.
• Domain expertise: Deep understanding of infrastructure, cloud platforms, DevOps, or observability — you can engage credibly with customers, engineers, and architects on technical topics including cloud-native and AI architectures, Kubernetes, compute/storage/networking, and distributed systems
• Proven leadership: Track record of building and developing high-performing PM teams; experience managing both ICs and senior PMs
• Strategic and execution-oriented: Ability to set a long-term product vision while driving rigorous near-term execution across a complex, multi-team product area
• Customer obsessed: You have strong instincts for understanding customer pain and translating it into product strategy that creates real value
• Data-driven: Comfortable defining KPIs, analyzing product usage, running experiments, and making prioritization decisions under uncertainty
• Strong communicator: Excellent written and verbal communication skills; able to influence senior engineering stakeholders and align cross-functional teams — and present confidently to executives and customers
• Collaborative and low-ego: You lead with empathy and directness, take ownership, and thrive in a fast-paced, high-growth environment
• Preferred Experience:
  • Experience at a monitoring, observability, or cloud infrastructure company
  • Background in software engineering, SRE, or platform architecture
  • Familiarity with Kubernetes, eBPF, OpenTelemetry, or cloud cost optimization
  • Experience managing a PM org through a period of rapid product or company scaling

If you're passionate about shaping the future of infrastructure observability and driving innovation at scale, we'd love to hear from you!

Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.

Benefits & Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds
• Access to Inclusion Talks, our Internal panel discussions
• Free, global Spring Health benefits for employees and dependents age 6+
• Competitive global benefits
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Trading Systems

The Role: Staff Software Engineer (Frontend)

As a Staff Frontend Engineer, you’ll work with a cross-functional team of web, mobile, and backend engineers to help solve complex problems that will directly influence the direction of the digital asset space. As part of this role, you’ll help drive customer experience improvements to set us apart in the industry and build a world-class crypto exchange. If you get excited about solving technical challenges that directly impact our customers, clients, and the rest of the Gemini team, we’d love to hear from you.

This role is required to be in person twice a week at our New York City, NY office.

Responsibilities:

• Collaborate with product managers, designers, and other engineers to design and deliver high-quality features on Gemini platform.
• Build efficient and reusable UI components and architect reliable, performant, and maintainable solutions. Review other software engineers’ code for correctness, style, and information security concerns.
• Own the DevOps lifecycle for a product; building, validating and maintaining high quality products through its lifetime.
• Provide technical input and knowledge to the planning, design, and requirements process for new products and features.
• Lead scoping and effort estimation exercises of complex initiatives, and lead tech debt management best practices.
• Mentor less tenured engineers and onboarding new team members.

Minimum Qualifications:

• You have at least 8 years of experience building consumer-facing web applications at scale.
• You are comfortable working with JavaScript/Typescript.
• You are a React.js expert.
• You have knowledge of web best practices and stay informed about innovations in the web industry and the ability to bring in adoption for the same.
• You have a strong understanding of UX/UI concepts and a demonstrated record of design and product sensibility.
• You have the ability to work closely across global teams (and time-zones), across cross-functional stakeholders and manage inter dependencies.
• You have a customer and product-focused mindset, with the ability to make well-reasoned tradeoffs between speed and quality.
• You have the ability to adapt and handle multiple competing priorities in collaboration with peers.
• Deep understanding of Operational Excellence, Engineering Excellence and objective (data driven) decision making.
• You are skilled in eliminating manual touch points in SLDC.
• You have the expertise in automated testing - Unit, Integration and end-to-end.

Preferred Qualifications:

• Experience working with performance analysis tooling.
• Experience influencing product decisions with data.
• Experience working with experimentation.
• Experience as a user of crypto products.

• Competitive starting pay
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $168,000 - $240,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

The Strategic Customer Success Manager is aligned at the customers' key stakeholder level, building and fostering strong relationships to help customers accelerate their digital journey. Customer Success Managers are working directly with customers that can vary in their market segment, size, solution complexity and life cycle, depending on the customers needs.

Responsibilities:

• Build and foster executive-level trusted advisor relationships with the customer’s IT, Engineering and Support organizations.
• Demonstrates hands on PagerDuty Product knowledge by applying it to the customer's business priorities.
• Guide a customer on process, people and change management best practices to drive customers adoption of real time operations.
• Proactively identify risks to the customer achieving their stated business goals and work with the sales team to build a risk mitigation plan.
• Produce and execute a comprehensive adoption path of PagerDuty products, showing the current state, target future state with timeline.
• Deliver business value and innovation to a customer’s business by understanding the customers’ opportunity to reduce cost and drive growth.
• When appropriate, recommend additional expert services needed to drive success.
• Proactively communicate technical product changes, degradations, outages, end of life and other relevant updates.
• Represent the voice of the customer to inform our sales process or product roadmap.
• Lead the cross functional post sales team at PagerDuty, delivering a seamless experiences on behalf of the customer.
• Prepare and facilitate business review meetings, training sessions, webinars, demos, and other strategic and supportive interactions.
• Predict and forecast risk, renewal and expansion within the customer portfolio.

Qualifications:

• Experienced professional with 10-15 years relevant industry expertise.
• Strong consulting skills and proven results working as a trusted advisor to drive business value for customers.
• Ability to drive effective and influencing conversations at the C-level; facilitation of difficult discussions and adept at handling objections.
• Experience building Business value ROI models.
• Thrive in a collaborative fast pace environment and as a part of a results oriented team.
• Working knowledge in a SaaS business model.
• Strong knowledge of PagerDuty product and platform features and capabilities is highly desired.
• Good understanding of IT enterprise architecture, DevOps principles and modern IT monitoring is strongly preferred.
• Worked in a DevOps environment or with a company going through a transition to DevOps.

The base salary range for this position is $132,000.00 - $182,200.00 USD (80/20). This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

The Senior Principal Customer Success Manager is aligned at the customers' key stakeholder level, building and fostering strong relationships to help customers accelerate their digital journey. The ideal candidate possesses the below qualifications and is willing to travel up to 25% of their time for in-person customer meetings. Customer Success Managers are working directly with customers that can vary in their market segment, size, solution complexity and life cycle, depending on the customers needs.

Responsibilities:

• Build and foster executive-level trusted advisor relationships with the customers’ IT, Engineering and Support organizations.
• Demonstrates hands-on PagerDuty Product knowledge by applying it to the customer's business priorities.
• Guide a customer on process, people and change management best practices to drive customers adoption of real time operations.
• Proactively identify risks to the customer achieving their stated business goals and work with the sales team to build a risk mitigation plan.
• Produce and execute a comprehensive adoption path of PagerDuty products, showing the current state, target future state with timeline.
• Deliver business value and innovation to a customer’s business by understanding the customers’ opportunity to reduce cost and drive growth.
• When appropriate, recommend additional expert services needed to drive success.
• Proactively communicate technical product changes, degradations, outages, end of life and other relevant updates.
• Represent the voice of the customer to inform our sales process or product roadmap.
• Lead the cross functional post sales team at PagerDuty, delivering a seamless experience on behalf of the customer.
• Prepare and facilitate business review meetings, training sessions, webinars, demos, and other strategic and supportive interactions.
• Predict and forecast risk, renewal and expansion within the customer portfolio.

Basic Qualifications:

• 8-10 years of relevant customer-facing experience and a demonstrated track record of success
• Proficiency in developing comprehensive business value ROI models, with an ability to drive strategic decision-making and deliver tangible results
• In-depth expertise in SaaS business models, including a strong understanding of market trends, competitive landscapes, and customer needs
• Strong understanding of IT enterprise architecture, DevOps principles and modern IT monitoring 

Preferred Qualifications:

• Strong consulting skills and proven results working as a trusted advisor to drive business value for customers.
• Knowledge of PagerDuty products and platform features/capabilities 
• Thrive in a collaborative fast pace environment and as a part of a results oriented team.
• Ability to drive effective and influencing conversations at the C-level; facilitation of difficult discussions and adept at handling objections.
• Worked in a DevOps environment or with a company going through a transition to DevOps.

The base salary range for this position is $124,800 - $171,600 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

PagerDuty is seeking an Account Executive (AE) to join our high-performing, customer-focused team! As an Account Executive, you will drive growth and expansion within an established customer portfolio, combining strategic account management with consultative enterprise selling. You’ll partner with C-level executives and key stakeholders to deliver measurable outcomes through Operations Cloud conversions and multi-product adoption. This is an exciting opportunity to shape the customer’s journey, close high-value deals, and accelerate PagerDuty’s growth in the enterprise market.

The ideal candidate is a relationship-driven sales professional who thrives in complex deal cycles, excels at executive engagement, and is passionate about delivering customer impact through innovative SaaS solutions.

KEY RESPONSIBILITIES

• Own and grow a defined set of enterprise accounts by driving upsell, cross-sell, and expansion opportunities.
• Build and maintain trusted executive relationships through regular in-person engagement and consultative selling.
• Develop and execute strategic account plans to identify growth areas, expansion pathways, and competitive positioning.
• Drive adoption of PagerDuty’s Operations Cloud by articulating clear business value and ROI.
• Execute complex, multi-product sales motions and partner with Solution Consultants for technical validation and proof-of-concept activities.
• Maintain accurate forecasts and a disciplined pipeline in Salesforce using the MEDDICC framework.
• Collaborate with Customer Success, Product Management, and Renewals teams to ensure customer satisfaction and long-term retention.

BASIC QUALIFICATIONS

• 8+ years of experience in B2B sales, account management, or expansion roles within SaaS or cloud software.
• Proven success managing a quota in complex, long-cycle enterprise sales.
• Demonstrated experience selling to and influencing C-level executives.
• Proficiency with Salesforce (SFDC) for pipeline management and forecasting.
• Bachelor’s degree or equivalent experience.

PREFERRED QUALIFICATIONS

• Expertise applying MEDDICC and Command of the Message (COM) methodologies.
• Experience managing high-value accounts 
• Track record of success with multi-product sales and solution-based selling models.
• Strong understanding of enterprise software ecosystems, Operations Cloud, or DevOps environments.
• Strategic thinker with exceptional communication, negotiation, and relationship-building skills.

The base salary range for this position is $130,000 - $154,000 USD. This role may also be eligible for bonus, commission (50/50 split), and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

The Role: 

Forge’s platform engineering team is passionate about innovation and building scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of technologies to support our core platform, Metal, and we thrive on moving fast, delivering value, and living our values of being bold, humble and accountable.

We are seeking a passionate platform engineer with at least 7 years of experience delivering robust infrastructure solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings and is motivated by creating success all around them through strong communication, architecting great developer experiences, and making data-driven decisions.

To succeed in the Staff Platform Engineer role at Forge, you'll leverage your infrastructure and software expertise to successfully deliver high-quality platforms both individually and through technical leadership of others. You will have the ability to take on advanced infrastructure projects—ranging from multi-cluster orchestration to SOC 2 compliance automation—while also being a productive and collaborative member of the team.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 7+ years of experience in software or platform engineering with a strong focus on infrastructure and DevOps
• Deep, hands-on expertise in Kubernetes administration and the cloud-native ecosystem
• Advanced proficiency in Infrastructure as Code (IaC) using Terraform
• Extensive experience designing and operating GitOps workflows (e.g., Argo CD, Flux)
• Strong software engineering skills with the ability to read, write, and debug code across multiple application

Preferred Skills (Nice-to-Have)

• Experience with C# and Dotnet framework
• Experience with Azure and AWS Cloud infrastructure.
• Experience working in geographically distributed teams
• Fintech or Financial services industry experience.

For residents of San Francisco, CA the annual salary range for this role is $167,000 - $190,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Forge’s platform engineering team is passionate about innovation and building scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of technologies to support our core platform, Metal, and we thrive on moving fast, delivering value, and living our values of being bold, humble and accountable.

We are seeking a passionate platform engineer with at least 7 years of experience delivering robust infrastructure solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings and is motivated by creating success all around them through strong communication, architecting great developer experiences, and making data-driven decisions.

To succeed in the Staff Platform Engineer role at Forge, you'll leverage your infrastructure and software expertise to successfully deliver high-quality platforms both individually and through technical leadership of others. You will have the ability to take on advanced infrastructure projects—ranging from multi-cluster orchestration to SOC 2 compliance automation—while also being a productive and collaborative member of the team.

Location: This role requires 2-3 days a week in office in Soho, NY.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 7+ years of experience in software or platform engineering with a strong focus on infrastructure and DevOps
• Deep, hands-on expertise in Kubernetes administration and the cloud-native ecosystem
• Advanced proficiency in Infrastructure as Code (IaC) using Terraform
• Extensive experience designing and operating GitOps workflows (e.g., Argo CD, Flux)
• Strong software engineering skills with the ability to read, write, and debug code across multiple application

Preferred Skills (Nice-to-Have)

• Experience with C# and Dotnet framework
• Experience with Azure and AWS Cloud infrastructure.
• Experience working in geographically distributed teams
• Fintech or Financial services industry experience.

For residents of New York, New York the annual salary range for this role is $167,000 - $190,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Forge’s platform engineering team is passionate about innovation and building scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of technologies to support our core platform, Metal, and we thrive on moving fast, delivering value, and living our values of being bold, humble and accountable.

We are seeking a passionate platform engineer with at least 7 years of experience delivering robust infrastructure solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings and is motivated by creating success all around them through strong communication, architecting great developer experiences, and making data-driven decisions.

To succeed in the Staff Platform Engineer role at Forge, you'll leverage your infrastructure and software expertise to successfully deliver high-quality platforms both individually and through technical leadership of others. You will have the ability to take on advanced infrastructure projects—ranging from multi-cluster orchestration to SOC 2 compliance automation—while also being a productive and collaborative member of the team.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 7+ years of experience in software or platform engineering with a strong focus on infrastructure and DevOps
• Deep, hands-on expertise in Kubernetes administration and the cloud-native ecosystem
• Advanced proficiency in Infrastructure as Code (IaC) using Terraform
• Extensive experience designing and operating GitOps workflows (e.g., Argo CD, Flux)
• Strong software engineering skills with the ability to read, write, and debug code across multiple application

Preferred Skills (Nice-to-Have)

• Experience with C# and Dotnet framework
• Experience with Azure and AWS Cloud infrastructure.
• Experience working in geographically distributed teams
• Fintech or Financial services industry experience.

For residents of Denver, CO the annual salary range for this role is $150,000 - $170,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead the engineering group responsible for driving Brex’s growth engine. This role involves strategic planning, team management, technical guidance, and cross-functional collaboration. The ideal candidate is a seasoned engineering leader with a strong background in driving growth.

Where you’ll work

This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.
• Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.
• Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.
• Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.
• Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
• Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.
• Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.
• 3+ years of progressive experience in Salesforce development and architecture.
• Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.
• Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.
• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.
• A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.
• A passion for leveraging AI to improve both team productivity and the products you build.

Bonus points

• Salesforce certifications (e.g., Platform Developer II, Application/System Architect).
• Experience managing remote or distributed engineering teams.
• Former founders welcome.
• Experience building Slack applications and integrations.
• Experience with B2B growth.
• You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
• You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.

Compensation

The expected salary range for this role is $300,000 - $375,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead the engineering group responsible for driving Brex’s growth engine. This role involves strategic planning, team management, technical guidance, and cross-functional collaboration. The ideal candidate is a seasoned engineering leader with a strong background in driving growth.

Where you’ll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.
• Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.
• Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.
• Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.
• Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
• Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.
• Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.
• 3+ years of progressive experience in Salesforce development and architecture.
• Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.
• Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.
• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.
• A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.
• A passion for leveraging AI to improve both team productivity and the products you build.

Bonus points

• Salesforce certifications (e.g., Platform Developer II, Application/System Architect).
• Experience managing remote or distributed engineering teams.
• Former founders welcome.
• Experience building Slack applications and integrations.
• Experience with B2B growth.
• You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
• You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.

Compensation

The expected salary range for this role is $300,000 - $375,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead the engineering group responsible for driving Brex’s growth engine. This role involves strategic planning, team management, technical guidance, and cross-functional collaboration. The ideal candidate is a seasoned engineering leader with a strong background in driving growth.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.
• Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.
• Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.
• Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.
• Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
• Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.
• Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.
• 3+ years of progressive experience in Salesforce development and architecture.
• Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.
• Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.
• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.
• A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.
• A passion for leveraging AI to improve both team productivity and the products you build.

Bonus points

• Salesforce certifications (e.g., Platform Developer II, Application/System Architect).
• Experience managing remote or distributed engineering teams.
• Former founders welcome.
• Experience building Slack applications and integrations.
• Experience with B2B growth.
• You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
• You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.

Compensation

The expected salary range for this role is $300,000 - $375,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead the engineering group responsible for driving Brex’s growth engine. This role involves strategic planning, team management, technical guidance, and cross-functional collaboration. The ideal candidate is a seasoned engineering leader with a strong background in driving growth.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.
• Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.
• Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.
• Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.
• Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
• Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.
• Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.
• 3+ years of progressive experience in Salesforce development and architecture.
• Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.
• Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.
• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.
• A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.
• A passion for leveraging AI to improve both team productivity and the products you build.

Bonus points

• Salesforce certifications (e.g., Platform Developer II, Application/System Architect).
• Experience managing remote or distributed engineering teams.
• Former founders welcome.
• Experience building Slack applications and integrations.
• Experience with B2B growth.
• You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
• You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.

Compensation

The expected salary range for this role is $300,000 - $375,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

About the Role:

CoreWeave is seeking a passionate and innovative Software Engineer of Network Services to lead the architecture, scaling, and operations of our network services. You'll be tackling the complex challenges of building and operating world-class network services for the most demanding AI workloads on the planet. You will be focusing on achieving the highest levels of service quality, scalability and performance. You will also build comprehensive monitoring and alerting into our network services. You will work closely with your team to execute our network service roadmap, drive innovation, and ensure the reliability, security, and scalability of the CoreWeave Cloud Platform.

Key Responsibilities 

• Develop, and maintain the network services infrastructure for our GPU cloud services, including networking cloud services, host networking, smart NICs, and overlay/underlay networks.
• Collaborate with cross-functional teams, including DevOps, System Administrators, and Cloud Services teams, to ensure seamless integration of network datapath solutions.
• Optimize host network performance, latency, and throughput to meet the demanding requirements of GPU-based workloads.
• Implement and maintain network security protocols and best practices to protect customer data and infrastructure.
• Participate in an on-call rotation, troubleshoot and resolve network-related issues, and provide timely support to the operations team.
• Stay up-to-date with the latest networking technologies, industry trends, and best practices to continually improve our networking infrastructure.
• Participate in code reviews, design discussions, and architecture decisions to ensure high-quality software development practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• Experience (4+ years) as a Software Engineer, with a focus on networking and cloud infrastructure.
• Expertise in network protocols, routing, and security (TCP/IP, BGP, kernel networking, etc.).
• Proficiency in programming languages such as Golang, Python, or C++.
• Familiarity with software-defined networking (SDN) and network virtualization technologies.
• Experience building and deploying k8s networking and infrastructure, CNIs.
• Experience with k8s operators and controllers is a plus.
• Excellent problem-solving skills and a proactive attitude towards troubleshooting and issue resolution.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.
• A passion for staying updated on emerging technologies and a commitment to continuous learning.

The base pay for this position range from $175,000 to $225,000 accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package.

About the Role:

SysEng HAVOCK (Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kernel)

CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure, building "smart" workflows that don't just report errors, but understand and fix them.

You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale.

Our Team’s Stack:

• Languages: Python, Go, bash/sh
• Observability: Prometheus, Victoria Metrics, Grafana
• OS & Kernel: Linux Kernel (custom build), Ubuntu
• Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet

Responsibilities:

• Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers.
• Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures.
• Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds.
• Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling.
• "Smart" CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams.
• Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production.
• Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads.
• Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands.

Requirements:

• 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps.
• Deep knowledge of Linux internals (boot process, kernel modules, networking stack).
• Experience with package management (Debian/Ubuntu) and build systems.
• Strong proficiency in Python (essential for the AI integration aspects of this role).
• Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows.
• Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs.
• Experience building event-driven automation (e.g., using webhooks to trigger analysis agents).
• Familiarity with data structures required for vector search or time-series analysis.
• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

Nice-to-haves:

• Experience with Kubeflow or MLFlow.
• Background in High-Performance Computing (HPC).
• Experience fine-tuning small language models (SLMs) for code or log analysis tasks.

The base salary range for this role is $153,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

• Design, implement, and maintain scalable, highly available security infrastructure using Kubernetes and cloud native technologies
• Build automation and monitoring solutions to proactively identify and mitigate reliability risks
• Collaborate with engineering teams to optimize system performance, reduce latency, and improve service uptime
• Participate in incident response, conduct root cause analysis, and implement preventative solutions
• Mentor team members and promote best practices in reliability, security engineering, and infrastructure management

• 5+ years of experience in site reliability engineering, DevOps, security engineering, security operations, or related roles
• Strong proficiency with Kubernetes, container orchestration, and cloud native technologies
• Experience managing and operating Teleport for infrastructure access control
• Proficiency in automation and scripting languages such as Python, Bash, or Go
• Experience operating and maintaining large scale distributed systems with a focus on reliability

• Familiarity with observability platforms such as Prometheus, Grafana, or Datadog
• Experience working with cloud providers such as AWS, Azure, or GCP

• You enjoy solving complex infrastructure and security challenges at scale
• You’re curious about improving system reliability, automation, and observability
• You have a strong ownership mindset and take pride in building resilient systems

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best in Class Client Experiences
• Achieve More Together

What You’ll Do:

We are seeking a Senior Security Engineer to build the Vulnerability Management program protecting CoreWeave's AI infrastructure. You will architect intelligent automation systems that defend the GPU clusters powering breakthrough AI research and enterprise AI applications. You'll solve security problems at the intersection of cloud-scale infrastructure and specialized hardware—from GPU firmware vulnerabilities to AI-powered threat detection. This role combines technical depth, strategic thinking, and the autonomy to design workflows that will protect infrastructure driving the future of AI.

About the role:

• Build and scale AI-powered triage workflows: evaluate tools (LLM integration, TINES orchestration), architect solutions, and deploy to production
• Drive intelligent, risk-based vulnerability prioritization while simultaneously training AI models—your assessments become the foundation for automation
• Influence automation priorities: recommend which areas of the vulnerability pipeline would most benefit from automation to improve team efficiency
• Design and implement automated detection-to-ticket pipelines: build workflows that generate vulnerability detections, test them, scale across the environment, and auto-create Jira tickets
• Execute remediation campaigns: build automated workflows for EOL product removal, vulnerable software upgrades, and OS migrations at scale
• Manage embargoed vendor disclosures from hardware partners, including embargo verification and zero-day response coordination
• Lead security incident investigations related to high-profile vulnerabilities, coordinating cross-functional response and impact assessment
• Participate in on-call rotation for rapid-response vulnerability analysis during active zero-day events or critical security incidents
• Partner with IT, Infrastructure, and Engineering teams to drive remediation efforts, enforce SLAs, and escalate blockers strategically
• Write daily operations reports documenting vulnerability trends, remediation velocity, and emerging threats for security leadership
• Drive process improvements and workflow automation to improve operational efficiency and reduce manual toil

Who You Are:

• 7+ years of relevant experience with demonstrated impact in vulnerability management, application security, platform security, or cloud security engineering
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
• Proven hands-on experience building security automation (SOAR workflows, detection pipelines, or vulnerability prioritization frameworks)
• Deep subject matter expertise with vulnerability management best practices: CVSS, EPSS, CISA KEV, exploit intelligence, and compensating controls
• Strong development background with proficiency in Python, Go, or similar languages for building production-grade security tools
• Experience with modern vulnerability management tooling such as Wiz, Semgrep, Rapid7, or similar platforms
• Demonstrated ability to partner with cross-functional teams (IT, SRE, Engineering) to drive remediation without formal authority
• Strong familiarity with common security vulnerabilities and the ability to judge their severity and business impact

Preferred:

• Practical experience building AI/ML-powered security workflows (LLM integration, automated triage, human-in-the-loop validation)
• Experience managing hardware security vulnerabilities (GPU/DPU firmware, BMC/IPMI, specialized compute environments)
• Production experience with security automation platforms such as TINES, Splunk SOAR, or serverless frameworks (AWS Lambda)
• Strong DevOps, DevSecOps, or SRE background with experience in AWS/GCP/Azure cloud services and Infrastructure as Code (Terraform, CloudFormation)
• Deep understanding of container security and Kubernetes (image scanning, admission control, runtime protection, supply chain security)
• Experience supporting customer audits (SOC 2, ISO 27001, FedRAMP) with vulnerability evidence and control validation
• Experience integrating vulnerability management into modern CI/CD pipelines with a "shift-left" mentality

Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

You love to:

• Architect and build security systems with full ownership, not just maintain existing tools
• Drive cross-functional initiatives and influence without formal authority
• Mentor engineers and see your automation multiply team impact

You're curious about:

• How to apply AI/ML to vulnerability management at cloud scale
• The intersection of hardware security and cloud infrastructure
• What makes security automation that engineering teams actually adopt

You're an expert in:

• Risk-based vulnerability prioritization and threat modeling
• Building production-grade security automation (SOAR, detection pipelines)
• Balancing security rigor with business velocity

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).