Recorded Future is seeking an experienced Senior Engineering Manager to lead a diverse team of engineers building one of the world’s most comprehensive global internet scanning platforms. As a Senior Engineering Manager, you will oversee multiple established teams and functions, including:

• Scan Engine Development – Our proprietary network scanning engine that operates on a global scale to collect intelligence insights from everything on the internet, supported by a cross-functional team of software engineers and operations specialists
• Vulnerability and Signature Research – Our team of vulnerability researchers working in coordination with internal intelligence functions to develop unique detections and signatures that power the scan engine
• Scan Operations and Site Reliability – Our team responsible for the operational health, scale, and reliability of the platform, ensuring intelligence is generated and delivered continuously to support teams and clients across the organization

What You'll Do:

• Team Leadership: Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies, fostering a collaborative, high-performing, and inclusive environment. Provide technical leadership by guiding development efforts, setting direction, and coaching engineers to grow their careers while maintaining a high engineering bar.
• Cross-Team Coordination: Partner closely with engineering leadership, product managers, and stakeholders across the broader organization — including teams from recently integrated business units — to align on scope, timelines, and solution designs that serve the full breadth of Recorded Future’s needs. Effectively communicate and advocate technical solutions to product, engineering, and business audiences.
• Engineering Excellence: Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. Ensure teams design, develop, and deploy features with a focus on high availability, quality, low latency, and scalability.
• Project Management: Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines.
• Agile Practices: Implement and maintain agile methodologies for project tracking and documentation.
• AI-First Development: Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools, workflows, and practices in day-to-day development. You should be comfortable guiding your team in its application and aligned with Recorded Future’s broader commitment to AI-driven engineering.

What You'll Bring:

• At least 10 years of experience in software engineering, ideally in an Enterprise SaaS product.
• At least 4 years in a management or leadership role, ideally overseeing multiple functions with remote teams in different timezones.
• Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don’t need to be actively coding day-to-day, but you should be able to engage credibly with engineers on technical decisions and hold the team to a high engineering bar.
• Background in or strong familiarity with low-level, network-heavy applications with a focus on high-volume traffic, availability, and global scale is highly desirable, despite this role being primarily managerial.
• Familiarity with key technologies such as message busses/queues (Kafka, Rabbit, etc.), containerization (Docker, Kubernetes, etc.)
• Extensive familiarity with the TCP/IP protocol stack, including application of concepts from DNS, WHOIS, and other artifacts needed for technical reconnaissance and discovery
• Comfort with AI development concepts and a genuine enthusiasm for guiding teams to incorporate AI into their workflows and understanding its practical applications in software development
• Experience in technical leadership such as leading project teams' development efforts and setting technical direction
• A passion for coaching others to grow their technology career and sharing good practices with more junior engineers
• Excellent verbal and written communication skills
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience

Preferred Qualifications:

• Any familiarity with cybersecurity principles and the unique challenges of developing cybersecurity products
• Any familiarity with things like port scanning, vulnerability scanning, or signature development
• Any familiarity with enterprise security products related to Recorded Future’s offerings

The base salary range for this full-time position is $199,000-$278,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a West Coast territory. 

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Directly engage with clients and provide expertise through pair programming and development on LangChain / LangGraph powered applications
• Deep expertise in LangChain, LangGraph and LangSmith
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You have experience leading engineering teams and feel confident mentoring and supporting other developers.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Mentored a junior dev through their first pairing and TDD session
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require working in a client office in the greater Dallas, TX area three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Colorado base salary range for this role is $175,000 - $250,000.

Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. 

In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.

How you’ll make an impact 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

Overview

As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

 At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
• Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of electric, gas and/or telecommunications. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic customers. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest customers’ business needs.
• Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.

Requirements

• 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 3+ years of experience in electric, gas and/or telecommunications
• Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Demonstrated experience in technical consulting and conceptual solution design
• Understanding of sales and business development processes
• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Programming and scripting experience with languages such as Python and JavaScript,
• Remarkable presentation, interpersonal, and listening skills
• Ability to travel domestically or internationally 25-50%
• Bachelor’s degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-JP2

#LI-onsite

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426152

GHX is seeking a Senior Software Engineer to work on our Enterprise Integration solutions. The position will report to the Manager, SWE and be responsible for leading development efforts toward the creation, implementation, and support of existing and next-generation software solutions. The Senior Software Engineer will analyze, design, code, and debug enhancements to existing software and/or new products used in on premise and cloud-based applications. They will be a leader in their teams integration with AI and Claude Code.  This role is responsible for interacting with stakeholders to define system requirements and/or necessary modifications in an Agile/Scrum environment.

Principle duties and responsibilities:

• Gathers and writes technical requirements for complex stories, features, and epics.  Authors technical designs.
• Leverages Java to develop Rest API’s..  
• Implements applications in cloud-based infrastructure.
• Identifies best practices and guides other team members in the implementation of best practices.
• Leverages Angular to develop user friendly applications.
• Maintains, modifies, and improves existing applications.
• Recognizes when a broad solution is needed based on trends/root causes and recommends solutions. 
• Contributes to and may lead project document reviews and design/code reviews.
• Ensures adherence to IT Control Policies throughout design, development, and testing.
• Proactively works with cross-functional teams.  Builds and maintains good business relationships that help drive ideas and solutions. 
• Proactively engages team to review ideas, solutions, issues, and/or concerns.
• Applies AGILE concepts and works collaboratively and closely with QA in an Agile/Scrum environment. 
• Trains and mentors new/junior teammates and coordinate the activities within the larger team.

Competencies:

• Proficient with multiple technologies and may have some understanding of architectural principles.
• Identifies, implements, and applies best practices. Is the “go to” person on the team.
• Defines how the work should be done; provides intelligent alternatives to the status quo.  Sells and drives ideas.  Owns issues and can work effectively inside and outside of the team to influence and drive results.
• Ability to handle multiple projects and possesses a proven track record of high-quality deliverables.
• Ability to effectively communicate technical concepts to technical staff and can work effectively with cross-functional departments with varying degrees of technical experience.
• Understands and can explain up and downstream impacts across products, teams, and the organization.
• Constructively challenges the status quo; develops, proposes, and supports the implementation of innovative and creative solutions. Iterates and improves across multiple business domains.
• Displays flexibility in adapting to changing conditions and helps lead others through change.
• Leads by example, promotes a common purpose, and is a catalyst for success.
• Thinks strategically, displays a high degree of emotional maturity, and demonstrates a positive outlook.
• Strong team player, makes a valuable contribution to team objectives, displays trust and mutual understanding, accepts constructive feedback, and handles confrontation constructively.
• Possesses a broad understanding of Agile/LEAN principles and the ability to apply the AGILE methodology.

Required Qualifications:

• Requires a minimum of 8 years of experience in software development.
• BS Degree in Computer Science.
• Experience with leading teams in use of Claude Code
• Prior experience working in an AGILE/SCRUM environment.
• Must be able to work independently and as part of a team on multiple overlapping projects.
• Proven track record of successfully delivering large projects.
• Strong Java developer
• Object Oriented Design and Development skills, including understanding of common design patterns.
• Experience with containerization and container orchestration.
• Experience with AWS cloud infrastructure
• Experience with Angular application development.
• Experience with Restful and/or SOAP web services
• Relation Database & SQL Experience
• Basic understanding of some networking protocols [TCP, HTTP, FTP, SSH, SSL] and interfaces.
• Experience with Linux / UNIX
• Experience with GIT Code management.
• Experience with Build tools – Maven, Gradle

Preferred qualifications:

• Certificate-based authentication, cryptography
• Experience in System integration/ B2B integrations / SCM / MMIS / ERP development or integration is a plus
• Post-graduate degree.
• EDI Experience is a plus
• Experience with AI PLDC integration
• Exposure to UI framework like Angular is a plus
• SSL and java cryptography programming experience
• Load testing using any toolset
• Functional and behavioral testing using any toolset
• Exposure to CICD process using Jenkins/ Hudson, Bamboo or something similar.
• Experience with Spring.
• Familiarity with centralized log management solution
• Data analytics is a plus
• Team player with a good attitude.

Estimated salary range: $128,000 - $152,000

The base salary range represents the anticipated low and high end of the GHX’s salary range for this position. Actual salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, competencies and proficiency for the role. The base salary is one component of GHX’s total compensation package for employees. Other rewards and benefits include: health, vision, and dental insurance, accident and life insurance, 401k matching, paid-time off, and education reimbursement, to name a few. To view more details of our benefits, visit us here: https://www.ghx.com/about/careers/

About the Role:

We're looking for seasoned full-stack software engineers to join the teams behind Gusto's customer-facing products — the features and experiences that small business owners and their employees rely on every day.

As a Staff Software Engineer, you'll operate across the full product lifecycle: shaping features from early spec and design through to launch and long-term iteration. That means writing clean frontend code, designing and building reliable backend APIs, influencing product direction, and taking ownership of what happens after a feature ships. 

If you're drawn to work that combines technical craft with real-world impact — helping power the livelihoods of millions using Gusto products — join us!

Here’s what you’ll do day-to-day:

• Design, build, and test Gusto core products such as Payroll, Benefits, HR, Retirement, Gusto Money, Gusto Solo, and Gusto Pro, among others
• Mentor other engineers to help solve some of the hardest technical problems out there in very complex domains and at a large scale
• Help scale one of the largest Ruby/Rails and Javascript/React applications in the world
• Collaborate with our Product Management, Data, Design, and Platform Engineering teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch daily
• Build products that our customers genuinely love

Here’s what we’re looking for:

• Successful applicants typically have 8+ years of software development experience
• Experience building scalable solutions that eliminate customer pain; passion for creating memorable experiences for customers
• Experience leveraging AI tools or systems to accelerate development, improve testing, and deliver new product capabilities
• Curiosity and experimentation with emerging AI frameworks, applying and sharing best practices to evaluate and scale AI use safely across teams
• Experience owning multi-quarter projects that solve complex engineering problems and make measurable customer impact at scale
• Experience with large scale refactors, performance and reliability issues, and a strong sense of ownership over all aspects of your product area
• Ability to mentor engineers to maximize their performance and impact

Others:

• Experience in, or interest working in, Ruby on Rails 
• Appreciation for a collaborative, test-driven environment
• Ability to build well-structured, maintainable, well-documented code
• Ability to effectively communicate across engineering teams and with business stakeholders

Do you prefer platform development instead? Check out our Staff Software Engineer, Core Platforms job listing. 

Please note that a two day travel to a Gusto office for onboarding is required for this position. If you have any questions regarding this requirement, please share with your recruiter.

Our cash compensation amount for this role is targeted at $163,000–$204,000 in Denver & most remote locations, and $197,000–$247,000 for San Francisco & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

About The Role: 

• We're looking for a Staff Software Engineer who wants real ownership in a fast-moving environment. 
• You'll help design, build, deploy, and operate the software that runs Urban Sky's manufacturing operation—a full-stack MRP system that tracks inventory, work orders, bills of materials, quality holds, and serialized parts from receiving through final integration. It's the operational backbone of how we actually build balloons. Because the company is growing quickly, the scope of the role will evolve over time, and you'll have meaningful influence over what we build next and how we build it. 
• You'll work shoulder-to-shoulder with the people using the software every day—manufacturing technicians, logistics coordinators, quality inspectors, and finance. There's no product manager between you and them. You'll learn how parts flow through the building, what makes a quarantine workflow painful at 3pm on a Friday, and how a missed traceability record turns into a compliance problem. Translating messy physical processes into clean software is most of the job. 
• The interfaces you build are for operators, not consumers. A shop-floor tech holding a tablet, scanning a barcode, working through a multi-step assembly procedure—that's your user. Touch targets, scanner integration, and drag-and-drop work instructions matter more than landing-page polish. 
• We operate in an aerospace-regulated environment (AS9100). Every mutation needs an audit trail. Serialized parts need end-to-end traceability. "Move fast and break things" doesn't apply to production data. We still move fast—but with the discipline that comes from knowing a corrupted record can ground a flight. 
• You don't need prior MRP or manufacturing experience. You do need to be excited—or at least not intimidated—by learning a complex business domain alongside the code. 
• If you enjoy small teams and solving ambiguous problems, this role is likely a great fit. 

What You'll Do 

• Our overall software team is roughly 7 people, and this team will be just 2 people, everyone works across the stack. That's not aspirational—it's required. A small team with real ownership only works if everyone can contribute quickly and adapt as the company and product evolve. 
• Senior engineers here build trust by shipping early and expanding their scope through demonstrated ownership. 

What we need you to do right away

• We expect senior engineers to become productive almost immediately. 
• In your first days and weeks, you will: 
  • Set up your environment and start committing code within your first day or two 
  • Learn existing systems by improving them, not by watching from the sidelines 
  • Fix bugs, tighten rough edges, and ship small enhancements to production 
  • Participate in deployments, debugging, and operational workflows 
  • Use AI tools from the start to understand the codebase and accelerate contributions 
  • Ask questions, propose improvements, and engage in technical decisions 
• You won't be waiting for a long ramp period. 
• You'll build context by doing real work that ships. 

What you will grow quickly into

• As you gain context, scope expands fast. 
• Within your first couple of months, you'll be expected to: 
  • Own meaningful areas of our stack across backend, frontend, and infrastructure 
  • Lead design and implementation of projects that may span quarters 
  • Make architectural decisions with an eye toward reliability, operability, and future change 
  • Work directly with operators and stakeholders—often non-engineers—to refine solutions 
  • Drive systems from concept → implementation → production → iteration → support 
  • Continuously simplify, improve, and evolve what you own 
  • Help the team move faster by raising technical quality and reducing friction 
• By this point, you're not just contributing—you're a primary owner. 
• There are no lanes to stay in and no handoffs to hide behind. 
• If something feels confusing to an operator, that's an engineering problem. 
• If a system is brittle, slow, or overbuilt, that's an engineering problem. 
• If a workflow on the shop floor doesn't match the software, that's an engineering problem. 
• If requirements change mid-stream, that's reality—and adapting thoughtfully is part of the job. 
• If AI-generated code is messy, that's also an engineering problem. 
• You'll own systems end-to-end, from design through production and long-term maintenance—even as those systems evolve. 

Our engineering principles 

• These principles guide how we build systems in a fast-moving, real-world environment. 
• Design for operations, not just implementation 
• Software doesn't stop at merge. We design systems that can be deployed, monitored, debugged, and safely operated under changing constraints. 
• Favor simple, adaptable systems 
• Clarity beats cleverness—especially when systems need to change quickly. 
• Own the full lifecycle 
• Engineers are responsible for their systems from design through production, operational support, and ongoing evolution. 
• Build reliability through feedback 
• Observability is a first-class concern. Logs, metrics, and traces help us understand how systems behave as usage and requirements change. 
• Use abstraction sparingly and intentionally 
• Abstractions should make change easier, not harder. If they obscure failures or slow iteration, they're the wrong choice. 
• Scale and evolve based on evidence 
• We increase complexity, performance, and scale in response to real operational needs—not speculative futures. 
• Leverage AI with engineering judgment 
• We use AI aggressively to increase velocity and explore solutions, while remaining fully accountable for correctness and maintainability. 
• Embrace iteration as the default 
• Progress comes from frequent adjustments and steady improvement, not rigid plans. 

AI-assisted development 

• AI isn't supplemental here. It's a core part of our SDLC. 
• We use Claude Code for feature implementation, run automated multi-agent code review on pull requests, and have AI-driven quality checks integrated into CI. A meaningful portion of production code is AI-written and human-shaped. The skill we care about isn't typing speed or autocomplete—it's the judgment to review, restructure, reject, or rewrite AI output until it's correct, readable, and operable. 
• We expect you to: 
  • Use AI tools daily for implementation, debugging, refactoring, and exploration 
  • Adapt quickly as tools, models, and workflows evolve 
  • Apply strong judgment to AI-generated code—you're accountable for what ships, not the model 
  • Use AI to build production systems, not just prototypes 
  • Treat AI as leverage, not a replacement for understanding 
• We care far more about how you use AI than which model you prefer. 

What we are looking for

• This is a senior role. We're optimizing for experience, judgment, and adaptability. 
• You likely have: 
  • 8+ years of professional software engineering experience 
  • Strong fundamentals in system design, data structures, and architecture 
  • Experience building and operating backend systems at scale 
  • Solid instincts for data modeling, schema design, and SQL 
  • Comfort with cloud infrastructure and modern DevOps practices 
  • Experience owning production systems in environments that evolve quickly 
  • Strong communication skills and the ability to collaborate as priorities shift 
• You probably enjoy: 
  • TypeScript and modern web development 
  • Designing clean APIs and well-structured monoliths 
  • Thinking carefully about data models, schemas, and migrations 
  • Infrastructure, reliability, and operational excellence 
  • Mentoring others and raising the bar for the team 
• Learning quickly and adjusting course as new information emerges

Technologies (not a checklist) 

• We currently work with technologies such as: 
  • TypeScript / JavaScript 
  • React, Vite, Mantine UI 
  • tRPC for API contracts 
  • PostgreSQL (raw SQL and migrations, not just an ORM) 
  • ClickHouse for analytics 
  • Playwright for end-to-end testing 
  • AWS, Terraform, Docker 
  • CI/CD pipelines 
• You don't need experience with every tool—but you should be comfortable learning new systems as the stack evolves. 

 Benefits 

• Salary $150,000 - $180,000 per year  
• Stock Options 
• Medical, Vision and Dental 
• Unlimited Vacation Days 
• Cell Phone Bill Stipend 

About the opportunity

We’re looking for an experienced Analytics Engineer to help build the next generation of Contentful’s analytics foundation, powering Insight 360, our unified Snowflake-based data platform.

In this role, you’ll design and maintain robust, scalable data models that make our business data accessible and actionable across all teams. You’ll collaborate with engineers, analysts, and business stakeholders to deliver high-quality, trusted datasets that enable data-driven decision-making across the company.

Your work will sit at the heart of Contentful’s data evolution, helping us move to a modern, governed, and insight-led architecture.

What to expect?

Data Modeling & Transformation

• Design, build, and maintain efficient, scalable analytics models in dbt and Snowflake.
• Transform raw data from diverse domains (product, finance, sales, marketing, operations) into analytics-ready structures.
• Apply best practices in modularity, documentation, and testing to ensure long-term reliability.

Pipeline Ownership

• Take ownership of analytics engineering projects end-to-end: from scoping requirements through implementation and monitoring.
• Develop reusable, maintainable data transformations that enable self-serve analytics in Tableau and other BI tools.

Enablement & Collaboration

• Partner with analysts, data scientists, and business teams to define and deliver trusted data assets.
• Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake.
• Contribute to the shared data catalog and drive adoption of best practices across analytics and engineering teams.

What you need to be successful?

Required

• Experience: 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment.
• Data Modeling: Proven expertise with SQL to build modular and well-documented data models in dbt. Understanding of various data modeling techniques.
• Warehouse Experience: Deep knowledge of Snowflake (warehouses, roles, virtual warehouses, performance tuning).
• Collaboration: Strong ability to work cross-functionally with analysts, engineers, and business stakeholders to translate needs into technical solutions.
• Data Ops: Experience applying version control, testing, and observability practices in dbt or similar frameworks.

Preferred

• Visualization: Experience structuring data for BI tools such as Tableau, focusing on scalability and performance.
• Ingestion & Orchestration: Familiarity with Airflow, or similar tools for data ingestion and orchestration.
• Reverse ETL: Working knowledge of tools like Hightouch for operationalizing insights back into business systems (e.g., Salesforce, Gainsight).
• Governance: Understanding of data cataloging, lineage, and documentation using tools like Atlan

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/21/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary: $119,000- $161,000

About the opportunity

We are seeking a Data Engineer to help design, build, and scale modern data solutions that power analytics, operational reporting, and business decision-making across the company. You will work closely with our data, analytics, and business teams to develop high-quality data pipelines, models, and integrations that deliver clean, reliable, and actionable data.

You will join a small, cross-geography engineering team operating with a product mindset - delivering iterative value, partnering closely with business and analytics stakeholders, and owning both build and run responsibilities of a mission-critical platform.

What to expect?

• Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources.
• Develop high-quality data models that support analytics, reporting, and operational use cases.
• Partner with analytics, product, and business stakeholders to understand data needs and translate them into technical solutions.
• Implement strong data quality, validation, and monitoring processes to ensure reliability and trust in the data.
• Optimize data storage, processing, and performance within cloud data warehousing environments.
• Contribute to the development and evolution of our modern data platform, including tooling, standards, and best practices.
• Support data platform operations—troubleshooting issues, improving reliability, and ensuring SLAs are met.
• Collaborate with cross-functional partners on governance, documentation, definitions, and data stewardship.
• Implement CI/CD practices and Infrastructure-as-Code (IaC) to automate deployment, testing, and environment management.
• Participate in code reviews, design discussions, and operational on-call rotations as needed.

What do you need to be successful?

Required

• 3–6+ years of experience in Data Engineering or a similar technical role.
• Strong SQL skills and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
• Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks.
• Proficiency in Python or another scripting language.
• Strong understanding of data modeling, data structures, and modern data architecture patterns.
• Experience with CI/CD workflows, version control (Git), and Infrastructure-as-Code tools (Terraform a plus).
• Familiarity with data governance, quality, lineage, and cataloging concepts and tools.
• Demonstrated ability to collaborate with analysts, engineers, and business partners in a cross-functional environment.
• Excellent communication skills and a product-focused mindset.

Preferred

• Experience with monitoring/observability tools (e.g., Monte Carlo, Datadog).
• Experience with BI tools such as Tableau or Looker.
• Background in distributed systems, APIs, or event-based architectures.
• Exposure to data security, compliance, or privacy frameworks.
• Experience utilizing AI for development.

What we're looking for

• A builder who enjoys solving complex data challenges with clean, reliable, scalable solutions.
• A collaborator who thrives in cross-functional environments and communicates clearly.
• A problem-solver who cares about quality, consistency, and long-term maintainability.
• Someone who wants to make a measurable impact by empowering data-driven decision-making across the company.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/23/26

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary Range: $119,000-$161,000

This is a hybrid role where office attendance in Denver is expected 2 days per week (Tuesday and Thursday). A $100 monthly transportation/parking stipend is provided.

About the Opportunity

Contentful is looking for a Software Engineer to join our Ecosystem product line with a primary focus on Marketplace. In this role, you will help build, maintain, and grow the systems, apps, and workflows that expand what customers can do with Contentful.

You will work across the Marketplace surface area and adjacent ecosystem tooling, helping us deliver high-impact apps, improve the contribution and review pipeline, and scale the ways internal and external developers build on top of Contentful. While Marketplace is the primary focus, this role should also be able to contribute across adjacent Ecosystem areas, such as Extensibility and Developer Experience, when priorities call for it.

This role is ideal for an engineer who is strong in front-end product work but not limited to it: someone who is comfortable moving between React surfaces, Node.js services, APIs, developer tooling, and production operations as needed. We are looking for a product-minded full-stack engineer who enjoys strong cross-functional collaboration and taking growing ownership of software through its full lifecycle in production.

We are also evolving how we build software. We increasingly use AI-assisted development workflows to accelerate delivery, reduce menial workload, and improve leverage across the software development lifecycle. We are looking for an engineer who is genuinely excited to experiment with these tools — not just adopt them passively, but bring strong engineering instincts to getting the most out of them.

 What to expect?

• Design, build, and maintain Marketplace features, apps, and supporting services that improve the experience for both app builders and app installers.
• Contribute to the systems and tooling that help Contentful teams and partners bring new apps and integrations to market faster.
• Contribute across adjacent Ecosystem problem spaces, including extensibility workflows, developer tooling, internal platform capabilities, and backend services that support developers building on Contentful.
• Improve contribution workflows, trust and safety checks, maintainability, and operational quality across Marketplace and ecosystem surfaces.
• Partner closely with product, design, and engineers across Ecosystem to shape solutions that solve meaningful customer and business problems.
• Help generalize, polish, and productionize internally-built apps and ecosystem contributions so they can be supported long term by Marketplace Engineering.
• Own software in production, including debugging issues, improving observability, strengthening reliability, and participating in support and operational responsibilities.
• Use AI-assisted workflows across planning, implementation, debugging, and documentation where they create real leverage.
• Help the team improve how we use AI in engineering by sharing practices, refining workflows, and contributing to a healthy engineering culture around quality and speed.

What you need to be successful

• Roughly 4-7 years of relevant software engineering experience
• Solid professional software engineering experience building and maintaining production systems.
• Strong experience with TypeScript and Node.js, plus solid experience building user-facing product surfaces in React or similar front-end frameworks.
• Clear strength in front-end engineering, paired with real comfort contributing to backend services, APIs, and developer-facing tooling rather than working exclusively in the UI layer.
• Experience designing and evolving APIs, integrations, and services used by other engineers, partners, or customers.
• Good judgment around reliability, maintainability, security, and technical tradeoffs in a product environment.
• Comfort working across the stack and across boundaries, from user experience to backend behavior to operational concerns.
• Strong communication and collaboration skills, including experience working cross-functionally and asynchronously across teams and time zones.
• A product mindset and real empathy for developers, partners, and customers.
• Practical experience using AI tools to improve engineering productivity, with the ability to evaluate outputs critically and maintain a high quality bar.

Nice to Have

• Experience with developer platforms, SDKs, app frameworks, marketplaces, extensibility products, or integration ecosystems.
• Experience with AWS, Terraform, Kubernetes, Cloudflare, or related cloud infrastructure.
• Experience maintaining or contributing to public or shared developer tooling.
• Familiarity with AI-native product surfaces, agentic workflows, or systems that connect software to external tools and services.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This position is not eligible for visa sponsorship. Applicants must be authorized to work without visa sponsorship by the start date of employment.

Salary Statement: The salary range displayed is specifically for potential hires who will work or reside in Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, the applicant’s skills and prior relevant experience, and certain degrees and certifications (e.g., JD/technology).

Salary Range: 136,000 - 184,000 [This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.]

This posting is open for 4 weeks from the date of posting.

Guild is hiring a Security Engineer. The Information Security team is looking to add a highly motivated and technically inclined individual to work as a Cloud Security Engineer. We are looking for a candidate that is comfortable working in an exciting and fast paced environment. This individual’s responsibilities will mainly focus on ensuring protection of Guild’s various cloud resources and environments. These efforts will ultimately allow Guild to fulfill its mission while also meeting business objectives and compliance requirements.

As a Security Engineer, you will:

• Identify security issues and risks with Guild’s systems and environments. Develop and execute remediation/mitigation plans that provide long term risk reduction.
• Collaborate with cross-functional engineering teams to integrate and advance security standards within a comprehensive enterprise application security program.
• You will serve as a strategic partner to engineering squads, providing expert guidance on the integration and remediation of findings from SAST, DAST, and SCA tools.
• You will design and enforce robust security architectures across the company’s AWS ecosystem.
• Architect and implement security controls for agentic AI systems, including identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement).
• Develop comprehensive threat models and conduct realistic threat simulations across Guild's offerings, including LLMs, AI agents, and MCP components.
• Develop and tune security policy within various security tools and platforms (CNAPP, EDR, Email Gateway, Vulnerability Management, SIEM, etc…).
• Maintain SOC-2 compliance and assist with audit/client related requests. Assist with incident response and investigation activities.
• Fulfill regular on-call responsibilities as part of a team rotation.

You are a strong fit for this role if you have:

Required Competencies

• Thorough understanding of Integrated Development Environment (IDE) and Continuous integration / Continuous Delivery (CI/CD) Pipeline tools and processes
• Proven experience with software development methodologies and secure coding practices
• 5+ years of industry experience in security engineering, with meaningful focus on cloud security and application security
• Excellent problem-solving and analytical skills. Strong communication skills, both written and verbal, for collaborating with technical and non-technical teams. 
• Ability to work independently, prioritize tasks, and manage multiple security projects simultaneously.

Preferred Competencies

• Solid understanding of LLMs, AI architecture patterns, machine learning models, and related technologies (e.g., MCP, RAG, agentic frameworks)
• Experience with container security, kernel-level hardening, and modern isolation techniques.
• AWS Certifications

We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $150,000 - $180,000 and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity.

Posting Date: May 6, 2026

About Us MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking an Agentic Engineer with over 6 years of experience and a deep expertise in AI agents, LLMs, and autonomous system architectures to join our engineering, data science, and insurance product teams in building the next generation of self-directed insurance platform capabilities.

Position Overview As anAgentic Engineer, you will be responsible for designing, developing, and deploying sophisticated AI agent systems that can reason, plan, and execute complex insurance workflows autonomously. This role requires a combination of hands-on AI engineering, technical leadership, and strategic automation development to build intelligent agents that transform how our platform operates and serves customers.

Key Responsibilities

• Agentic System Architecture: Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Reasoning & Planning Systems: Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Observability & Monitoring: Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Testing & Quality Assurance: Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Regulatory Compliance & Governance: Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.

Qualifications

• Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
• Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
• Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.

Location: Candidates based in Madison, Wisconsin or San Francisco, California are preferred to facilitate close collaboration with our team.

Who We Are

• Small & Agile: We're a tight-knit engineering team of fewer than 10 people who move fast and make things happen
• High Agency: We operate with autonomy and ownership - everyone acts like a founder and drives meaningful impact
• Action-Oriented: We believe in "see something, do something" - no bureaucracy, just results
• Passionate Builders: We take pride in crafting elegant code, intuitive applications, and solving real problems
• Team First: We genuinely enjoy working together and believe great products come from great relationships
• Quality Focused: We ship code we're proud of and build systems that stand the test of time

What We Offer

• Competitive salary and benefits package.
• Leadership role in pioneering autonomous AI systems in the insurance industry.
• A unique opportunity to build cutting-edge agentic technology that transforms insurance operations.
• A collaborative and forward-thinking work environment at the intersection of AI and insurance.
• Continuous learning and career development opportunities in emerging AI technologies and autonomous system leadership.

Compensation Range: $175,000 – $275,000 annual base salary + bonus + equity (commensurate with experience and dependent on location)   

What You’ll Do

1. Understand spacecraft architecture and missions
2. Review current model and simulation capability
3. Identify any gaps in current simulation framework
4. Evaluate how simulation integrates with other teams within the company GSW, FSW, AI&T, MOPS, etc
5. Train as an operator to prepare for upcoming mission
6. Identify gaps from assessment and create the simulation architecture roadmap
7. Identify required models (Spacecraft subsystem, environment, GNC, etc)
8. Establish a framework that defines how hardware models, software models, and operational scenarios interact within the simulation environment
9. Establish how the digital twin gets integrated into a physics based “universe sim”
10. Establish a concrete validation strategy

 Mindset + skills: 

Mindset 

1. Systems level thinker understanding the crossroads of Physics, Software and Hardware
2. Ownership mindset serving as the technical authority across design and implementation
3. Ability to prioritize needs from multiple internal and external customers
4. Excels while operating in a fast-paced New Space environment
5. Strong desire to build and design something from the ground up
6. Someone willing to get dirty and produce code not just design
7. Passionate about creating a product that is used throughout the company 

Skills 

1. Strong understanding of orbital mechanics and astrodynamics
2. Experience modeling spacecraft dynamics, control systems, and environmental effects
3. Ability to design modular and extensible simulation architecture
4. Experience implementing physics-based simulations in Python and C++
5. Strong knowledge of numerical methods, time integration, and stability considerations
6. Experience building “universe-style” multi-body simulation environments
7. Ability to design simulations that support historical replay, real-time execution, and accelerated future-time scenarios
8. Experience with integrating simulations with GSW, FSW, AI&T, and HITL testing
9. Ability to design constellation level simulations
10. Experience designing event-driven or time-stepped simulation frameworks
11. Experience generating realistic synthetic telemetry 
12. Strong V&V practices  

 Your Ideal Background

Required

1. 10+ years of experience in modeling and simulation for complex aerospace missions
2. Deep understanding of physics engines or digital twins (subsystem/component models, dynamical systems, etc)
3. Experience developing for multiple internal stakeholders such as AI&T, GSW, MOPS, FSW, etc
4. BS in Aerospace Engineering, Physics, Computer Science or closely related STEM field
5. Deep knowledge in C++, Python, Basilisk (or similar Framework), Docker, K8, CI/CD 

Preferred 

1. Proven ownership of the design and architecture of a multi-model and simulation system
2. Understanding of distributed simulation frameworks
3. Strong foundation in multiple subsystems such as GNC, Flight Dynamics, EPS, Propulsion, etc
4. Nice to have experience simulating 6-DOF relative motion and ROPD missions 

Additional Requirements: Must be willing to work extended hours and weekends as needed.

Compensation and Benefits: Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. The anticipated salary range for this role is $130,000 - $240,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

About the role

The Verifications team is responsible for one of Checkr's most expansive product portfolios, an ever growing suite of screening products empowering informed decisions across our enterprise customers. Employment and education verifications, drug and occupational health screenings, reference checks, and right-to-work – are several of the products this team improves to drive growth and customer retention. Our customers place candidates into widely different roles, industries, and regulatory environments, each with distinct compliance and screening requirements, necessitating rapid product iteration across multiple fronts concurrently.

As Engineering Manager for Verifications, you'll own a wide surface area with meaningful room to make it better — improving accuracy and turnaround time, reducing manual touchpoints, and scaling how the team delivers across a complex mix of fulfillment integrations and compliance requirements. This role requires a focus on both immediate system scalability and long-term delivery process refinement. This includes near-term work on scaling data quality and automation systems to handle rapid growth, alongside strategic, longer-horizon investments in expanding coverage and building a faster, more consistent verification experience for our rapidly scaling candidate and customer base.

What you’ll do

• Lead and grow the Verifications engineering team — setting technical direction, driving performance and career development conversations, and building a hiring pipeline that strengthens the team over time
• Own the reliability and quality of a broad portfolio of fulfillment integrations — partnering closely with vendors and internal stakeholders to reduce friction, improve turnaround times, and minimize candidate and customer impact when issues arise
• Partner with Product to define and execute the roadmap across employment, education, drug and health, and compliance products — translating customer and regulatory requirements into clear engineering priorities
• Drive technical strategy for scaling a complex, integration-heavy system — making deliberate architecture decisions that improve coverage, reduce manual exceptions, and build toward a more automated and consistent verification experience
• Lead the team's adoption of AI-assisted development practices — helping engineers move faster while maintaining the quality and accuracy standards that a regulated, data-sensitive product requires
• Represent Verifications in cross-functional planning — serving as the engineering voice on team capacity, tradeoffs, and roadmap sequencing with Product, Compliance, and Engineering leadership

What you bring

• 4+ years as an engineering manager, with a track record of building and developing high-performing teams
• 8+ years as a software engineer, with strong command of service architecture, distributed systems, and system design
• Experience managing complex third-party integration environments — you’re comfortable owning reliability across systems you don’t fully control, and know how to structure teams and processes around that reality
• A track record of improving operational metrics — reducing incident frequency, improving detection time, or shipping reliability improvements in high-stakes production environments
• Familiarity with AI-assisted development and agentic coding tools — you understand how to help your team adopt these responsibly and can reason about the tradeoffs between velocity and quality they introduce
• Experience working on regulated products where data accuracy and legal compliance are non-negotiable
• Strong incident management skills — you can lead both the technical response and the stakeholder communication when things go wrong
• Ability to make prioritization decisions quickly, with a clear framework for balancing short-term reliability work against longer-term product investments
• Strong communication skills across technical and non-technical stakeholders — Product, Operations, Compliance, and senior leadership
• A genuine investment in developing people — through career conversations, stretch assignments, and creating conditions for engineers to grow
• Humility, openness to feedback, and eagerness to learn
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What you’ll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend, home office stipend

At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are expected to work from the office 2 to 3 days a week. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages. 

One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.

The base salary range for this role is $233,000 to $274,000 in San Francisco, CA.

The base salary range for this role is $197,000 to $232,000 in Denver, CO.

Equal Employment Opportunities at Checkr

Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.

About Procare

For over 30 years, Procare Solutions has been dedicated to empowering early childhood educators by providing products and services that enable them to focus on the care, safety and education of children.  We recognize the responsibility that comes with nurturing and educating children, which is why our child care management solutions are designed to automate business processes, help ensure safety and compliance, communicate with families and provide educational resources and training to help teachers and children thrive.

Over 40,000 satisfied customers have chosen Procare Solutions as their trusted partner in providing exceptional care for young minds.   

A Little About the Role

As a Principal Engineer, you will serve as a technical visionary and a force multiplier, operating at the organizational level to ensure our technology stack scales alongside these ambitions. While our Senior Engineers focus on specific features, you will be responsible for the long-term architectural health of the entire ecosystem. You will help define and evolve our offerings toward our scaling goals, recognizing that the technical path forward is an open question. Whether parts of the platform evolve in place or warrant greenfield rewrites, that assessment—and the strategy that follows—is a core part of the role.

What you’ll do:

Data Architecture & System Design

• • Lead our data architecture transformation — decomposing overgrown domain models, 
  establishing clean domain boundaries, and designing schemas that perform at scale.
• • Define query access patterns, indexing strategies, and data modeling standards that 
  prevent the next generation of technical debt.
• • Own the technical strategy for the platform's evolution — whether that means 
  modernizing the current stack, rebuilding key components, or a hybrid approach.

Platform & Service Architecture

• Shape the broader system architecture — API design, service boundaries, integration patterns, event-driven real-time systems — with a focus on reliability
• Drive the scaling strategy from our current base to 3-5x, ensuring platform, infrastructure, and operational practices are ready
• Partner with product leadership when strategic decisions are made and collaborate effectively with other departments

Technical Vision

• Collaboratively set the 2-5 year technical direction, informed by where the business and the technology industry are heading
• Evaluate build-vs-buy decisions, investigate emerging technologies
• You understand the strengths and limitations of AI and have a strong understanding about how AI capabilities should be integrated into the engineering platform and product
• Anticipate scale failures, performance cliffs, and architectural dead ends before they become incidents

Engineering Culture & Standards

• Raise the technical bar through design reviews, architectural standards, and hands-on mentorship of both technical and non-technical stakeholders
• Establish lightweight, effective processes for how we make and document technical decisions: RFCs, ADRs, design reviews
• Build, design, and execute on internal AI tooling and patterns to drive AI enablement throughout the organization

Execution

• This is not a slides-and-diagrams role. You will write code — approximately 30-40% of your time, particularly on critical path migrations, performance-sensitive systems, and proving out architectural patterns
• Lead by example: your PRs, design docs, and technical decisions set the standard
• Sequence work pragmatically — you know how to migrate production databases serving millions of users without downtime

Our ideal candidate will have:

• 10+ years' of experience in technical leadership roles
• BA/BS in Computer Science or equivalent experience
• You have experience with Ruby/Rails, TypeScript/React, Go, Python, and the ability to learn new stacks fast
• You have an AI-native workflow. You likely have an agentic setup that you have tweaked and optimized for how you work
• You have built agentic applications with both autonomous and strong human-in-the-loop UX patterns
• Demonstrated experience building and scaling complex products and applications

Physical Requirements

• This position works most of the time in a fixed office location and may involve sitting and/or standing for prolonged periods
• Frequently required to communicate verbally and in writing (mostly email) with candidates, other employees, and vendors
• Use of computer, telephone, and other office equipment for the greater part of the workday
• Occasional travel may be required to conferences or to other Procare offices

Why Procare?

• Excellent comprehensive benefits packages including: medical, dental, & vision plans
• HSA option with employer contributions
• Vacation time, holidays, sick days, volunteer & personal days
• 401K Plan with employer match and immediate vesting
• Employee Stock Purchase Plan
• Employee Discount Program
• Medical, Dependent Care, and Transportation FSA Plans
• Company paid Short and Long-Term disability and Life Insurance
• RTD EcoPass for all Denver employees
• Tuition Reimbursement and continued Professional Development
• Fast paced, high energy workplace environment in prime downtown location
• Regular company provided meals

Salary

$180,000 - $200,000/year DOE

Location

This position is based in either our Atlanta, GA office or Denver, CO office. We are currently in a hybrid in-office/remote working model based on business needs. Candidates must be willing and able to work from our Atlanta, GA or Denver, CO office a minimum of 3 days a week.

 About the Role:  

At Evio, we are building a suite of solutions that enable pharmacy innovation and improved patient outcomes. Our solutions infrastructure is foundational to the value we offer to customers.  We are seeking an experienced Data Engineer who wants to build reliable, scalable systems to bring our mission to life.   

In this role, you will design, develop, and maintain our AWS-cloud-native data platform and systems necessary for efficient data processing, storage, and analysis. This role will work closely with our product management and data analytics teams to create and manage effective data ETL processes on our platforms: helping shape how data flows across our ecosystem and ensuring it is secure, accurate, and trustworthy.  

This is a hands-on role for a team player who wants to build a best-in-class system and make a difference in health care. We are a lean team with strong company culture, and every teammate plays a mission-critical role in our success.  

Key Responsibilities: 

Design and administer data systems:  

• Implement cloud-native data solutions across cloud services such as AWS Glue, AWS Lambda, AWS Step Functions, Redshift, Aurora, Amazon S3, MWAA-Airflow.
• Design and implement scalable data architectures using AWS cloud services, including data lakes, data warehouses, bulk data ingestion, and transaction processing.  
• Collaborate with customers and teammates to comprehend data requirements and translate business needs into well-designed data models.  
• Assemble large, complex data sets that meet functional business requirements.   
• Stay current with AWS services and recommend suitable tools for specific data engineering tasks.  
• Develop and support the internal applications using Python, SQL, and Stored Procedures.  

Build reliable data processes:  

• Develop, implement, and maintain ETL processes to ingest, clean, and transform complex health care data into our application data platforms.  
• Automate manual processes and to optimize data delivery and reduce operational friction. 

Optimize data pipeline performance:  

• Monitor and tune data pipelines and data storage for performance, cost, and reliability.  
• Implement caching mechanisms and data partitioning strategies to enhance query efficiency and reduce data processing times.  
• Continuously evaluate tools and recommend improvements, striving to consistently raise the bar.  

Lead and collaborate company-wide:  

• Provide technical guidance and mentorship within the data engineering team and foster a collaborative and innovative environment.
• Partner closely with product and analytics team to understand business goals and engineer solutions to the right problems.   
• Contribute to a culture of transparency, accountability, and continuous improvement.  

Protect and govern data responsibly:  

• Implement and enforce data security measures and maintain data governance standards and access controls to protect sensitive data.
• Ensure compliance with health care data regulations and industry best practices.  

The skills and experience you bring to this role include:    

• Bachelor’s degree in computer science, Informatics, Information Systems, or another quantitative field. 
• 10+ years of experience in data engineering or a similar role with demonstrated technical leadership experience.  
• Expertise building and administering, including writing views, stored procedures, and triggers, in AWS-native data systems (Redshift, Aurora, RDS PostgreSQL, Glue, Lambda, Step Functions, MWAA-Airflow).
• Strong Python and SQL experience, including advanced query design and database optimization.
• Experience with healthcare data (Medical Claims, Rx Claims) or similar healthcare data is required.  
• Ability to develop subject-matter expertise and partner thoughtfully with business teams.
• Trusted partner: reliable to deliver accurate work in a timely manner. 
• A passion for working with a team to improve how data drives meaningful outcomes.  

Salary Considerations: 

Anticipated annual base pay range: $130,000 - $150,000 plus additional variable compensation based on performance.

At Evio, we’re committed to building a competitive compensation package to honor the value our teammates bring as well as attract and retain top talent that is aligned with our culture, mission and values. Compensation includes base pay (range shown) and could include other variable compensation opportunities depending on job seniority, location, and date of hire. Evio also offers a number of attractive benefits to eligible teammates including health insurance, retirement savings, life and disability insurance, paid and unpaid time off, and other benefits to make sure Evio teammates and families are well supported.  

Please note that the base pay information shown is a general guideline for the job responsibilities and qualifications listed. Salary decisions are based on candidate experience, and market and business considerations. 

  Evio Benefits:

• Great Health Insurance
  The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents.
• 401K Match
  Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits. 
• Time Off
  We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Vacation is to be used at your discretion, with approval of leadership.
• Parental Leave
  Generous paid leave for new parents (includes birth and non-birth parents).

Evio values a diverse workplace and is committed to supporting and celebrating the diversity that each teammate brings to the table. We are proud to provide equal employment opportunities to all teammates and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  

Senior Security Engineer

Our Engineering Standards at Karbon:

Balance Speed and Quality

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.

Collaborate Effectively

Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.

Build and Maintain Systems

Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.

Operate with Autonomy

A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.

Ownership and Accountability

Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.

AI-Enabled Engineering

AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.

Contribute to Team Culture

Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

About the Role! 

Seeking a development & cloud focused Senior Security Engineer to join our expanding security team.

The ideal candidate will have passion for AppSec, Cloud and AI. They will be a skilled communicator and relationship builder capable of promoting and building security practices across the organization and into our development processes.

AI is reshaping practices across the board and at Karbon we’re fully committed. We don’t see AI as a replacement but as a force multiplier. We’re looking for Security Engineers who are confident in network & security fundamentals, driven to grow, and excited by the challenges and opportunities AI brings.

What You’ll Own:

• Partner with different areas within Karbon - You will make sure security is embedded from the start from feature design and development to participating in design reviews and threat modelling.
• Balance Security and Delivery - You know how to balance delivery needs with security and can communicate security risks and issues to non technical stakeholders. You understand when it's important to push back, when to compromise and how to work with delivery teams to reach a great outcome.
• You keep up to date on the latest technologies and approaches - You are excited by the new developments such as AI bring to security but also understand the importance of security foundational practices such as good account hygiene, least privilege, attack surface reduction and MFA.
• Identify and assess security risks introduced by AI tools - You’ll assist with reviewing the risks of AI tooling usage & Integration and AI-generated code.
• Apply AI-assisted tooling to accelerate security work - you understand the impact AI can have and utilize it across many areas including triage, threat detection, code review, and documentation.
• Flexibility and confidence to work across multiple security domains - We’re a small team responsible for Security at a fast moving company and you’ll get exposure to many different security domains; you could be assisting with refining and investigating corporate IT security processes in the morning, reviewing a cloud hosted system after lunch and then tweaking detection rules!
• Work effectively as part of a team - Security is a team sport and you understand the need to build relationships and trust across the organization to enhance Karbon’s security posture. You are happy to answer questions and offer advice to teams that will reach out for your assistance.
• Own your work - You take pride in your work, feeling a deep sense of responsibility for the products we develop and ensuring we keep our customers' valuable data secure. This sense of ownership is paramount, and you share this commitment.
• Bring your passion and personality - Your creativity, curiosity, and authentic self make the team stronger. If you've worked in highly political environments, you'll find our culture, free from office politics and valuing openness and authenticity, a refreshing change.
• Help us measure improvement and steer our roadmap - Contribute to Security Metrics so we can track progress and feedback into our roadmap.

What Sets You Apart

4+ years experience in a security or development role across most of the following:

• Collaborating with teams to review designs & implementations for security issues and embedding good security practices across software development
• Triaging issues and reports, assisting teams to remedy items and testing fixes
• Working with external penetration test companies to validate and prioritize findings
• Conducting risk and vulnerability assessments of web applications and APIs and third party suppliers and integrations
• Configuring and tuning SAST, SCA and DAST Tooling
• Working with build/deployment pipelines to incorporate security tooling (Github Actions or Azure Devops YAML based pipelines)
• Assisting with implementing security focused alerting and detections and automations
• Conducting and facilitating organizational & developer focused security training
• Assisting with operational security items such as EDR alerts and MDM
• Contributing to our security roadmap

In addition you’ll need:

• Strong communication skills (spoken and written) 
• Some of the following Languages/Frameworks: Microsoft .NET/C#, JavaScript (we use React and EmberJS frameworks and, Python)
• At least one cloud platform: Azure, AWS or GCP (we use Azure predominantly)
• Working knowledge of PowerShell or Bash and Python
• Working knowledge of at least one AI development tool e.g. Claude Code, GitHub Co-Pilot etc
• Portswigger Burp or similar
• Certifications such as Offsec OSCP & AWAE, GIAC, Burp Practitioner, PJPT, Microsoft/AWS development and cloud related are nice to have
• Experience with securing AI applications, systems and AI tooling would be highly regarded

Why Work at Karbon?

• Gain global experience across Australia, New Zealand, UK, and Canada
• Strong benefits package including:
• Flexible Time Off with an encouraged 4 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Paid dental and vision and eligible spouse/partner and dependents
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend
• Work with (and learn from) an experienced, high-performing team
• A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
• Be part of a fast-growing company that firmly believes in promoting high performers from within

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enterprise Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enablement Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Solutions Architect on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

Location: Only SF, Denver, NYC

About the Role:

We’re hiring seasoned engineers to join our teams that work on core platform capabilities, improving our existing systems for extensibility and scalability, and building the future of Gusto's Payroll and Tax systems. As a Gusto Software Engineer at this level, you’ll be guiding projects end-to-end by influencing initial feature specs, understanding how to take existing systems closer to desired end states, executing on projects, and maintaining code that powers core experiences. If you’re interested in building elegant software with far-reaching effects in our modern economy, join us!

About the Team:

Payroll is the beating heart of Gusto’s business. Pay Group (payroll and tax) teams are responsible for the product, ops, and service components Gusto uses to onboard customers, process payrolls, calculate taxes and deductions, pay and file with tax agencies, and maintain compliance on behalf of the customers. The domain is highly complex and offers the opportunity to engage in system design that simplifies this for customers, both internal and external.

Sub- Teams:

• Tax Accuracy: The Tax Accuracy group is responsible for gathering and maintaining the necessary information for us to pay and file taxes accurately and on time for our customers, and consists of multiple teams that cover various parts of the process.
• Ledger: This team is building a payroll ledger to track accrual accounting for payroll-related money movement. This team is starting to support the payroll domain, risk, payments, and accounting. 
• Engine: This team works closely with the payroll compliance team to ensure enablement of compliant pay, such as minimum wage adjustments, regular rate of pay, etc. We enable end-to-end success of payroll processing and working with various domain teams such as tax calculations, tax setup, payments, and more.
• Platform: This team is developing a new platform to be the common interface for interacting with payroll and tax data. The payroll and tax domain is highly complex; our team exists to make it easier for other application teams to interact with the payroll and tax system. We enable application and experience teams to deliver customer value faster by providing a scalable, flexible, performant, and highly understandable platform to integrate with. 

Here’s what you’ll do day-to-day:

• Function as a Technical Lead across multiple teams in Payroll Services, helping us keep engineers unblocked and deliver high-quality work supporting our long-term goals
• Design, build, and test the foundation that supports compliant payroll for millions of people
• Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world
• Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams
• Mentor and grow fellow engineers working to create holistic and scalable solutions
• Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy
• Improve the productivity and happiness of our teams with the services, tools, and APIs you build.
• Engage in a highly supportive environment working with others to drive productivity and innovation
• Continuously stay up-to-date with advancements in AI and Machine Learning, applying this knowledge to our projects.

Here’s what we're looking for:

• Successful applicants typically have at least 15+ years of experience
• Able to build maintainable, structured, well-documented code 
• Strong knowledge of data structures, data modeling, and system design
• Experience working across 3+ teams, influencing both product and team direction
• Experience working on platform products which are depended upon throughout the company
• Experience engineering, designing, building and supporting large scale systems in production
• An aptitude in bringing clarity and simplicity to complex problems, communicating technical complexity and facilitating informed tradeoffs to major stakeholders
• Experience operationalizing and scaling large interconnected production systems
• Enthusiasm for a collaborative, test-driven environment
• Experience in complex highly regulated domains
• Examples: HR, Payroll, Taxes, or Compliance 
• Experience using AI tools to build, test, and iterate on products quickly.
• Understanding of how to evaluate AI-driven outputs using clear success criteria.
• A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches.
• Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation.

Our cash compensation amount for this role is targeted at $215,000/yr to $252,000/yr in Denver & most remote locations, and $251,000/yr to $295,000/yr for San Francisco, Seattle & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

#LI-DNI

What you'll be doing:

Client Partnership & Implementation

• Own and manage an enterprise client portfolio as primary technical advisor
• Deliver seamless implementations from kickoff through go-live, coordinating internal teams and ensuring timely deployment
• Develop deep knowledge of each client's goals and translate them into actionable plans with measurable results
• Engage clients regularly via Zoom, email, phone, and on-site visits to strengthen relationships and ensure alignment

Adoption & Value Realization

• Drive product adoption with measurable improvements in usage metrics and client health scores
• Conduct technical assessments of API implementations and lead quarterly optimization sessions
• Guide clients on product integrations and troubleshooting in collaboration with Implementation Engineer and Support
• Serve as the first technical point of contact for enterprise clients during implementation and post–go-live, owning technical triage and driving resolution with Implementation and Support.
• Educate clients on best practices to maximize value from Symmetry's solutions

Client Health & Retention

• Monitor client health scores, usage metrics, and interaction to identify risks early and implement mitigation plans
• Provide prompt, professional responses to inquiries ensuring fast resolution and strong confidence
• Support renewal readiness and risk mitigation in partnership with Account Manager

Operational Excellence

• Identify process improvements that reduce implementation time and increase team capacity
• Leverage AI tools and automation to streamline reporting, communication, and coordination
• Maintain thorough documentation in CRM and ticketing systems
• Collaborate with Sales, Product, Engineering, and Support to address issues and drive continuous improvement

Experience & Requirements:

Required Background:

• Bachelor's degree or equivalent combination of education and experience
• 5+ years in Client Success, Account Management, or Implementation Management in B2B SaaS
• Proven track record managing enterprise portfolios and guiding retention, adoption, and satisfaction
• Experience project managing complex software implementations from kickoff through go-live
• Technical aptitude to understand API/SDK integrations, conduct assessments, and troubleshoot issues
• Track record leveraging data and metrics to drive client outcomes and operational efficiency
• Experience in payroll, HR tech, or compliance technology strongly preferred

Core Skills & Attributes:

• Proven technical acumen with ability to translate capabilities into business value
• Extraordinary relationship-building skills to advise enterprise stakeholders on technical and business outcomes
• Outstanding communication skills with ability to simplify complex technical concepts
• Proactive, ownership-driven mindset with accountability for results
• Keen analytical and critical thinking with comfort in qualitative and quantitative analysis
• Great organizational and project management skills managing multiple priorities
• Client-first orientation committed to delivering measurable value
• Collaborative team player thriving in cross-functional partnerships
• Demonstrated ability to leverage AI and automation for efficiency
• Continuous learning mindset staying current on product innovations

Technology Experience:

• Comprehension of API/SDK architecture, RESTful APIs, and integration concepts
• Ability to read API documentation and guide clients through technical implementation
• Experience with API testing tools (Postman or similar) for client troubleshooting
• Proficiency with CRM systems (NetSuite, Salesforce, or comparable)
• Experience with customer success platforms (Catalyst, Gainsight, ChurnZero, or similar)
• Working knowledge of project management and ticketing systems (Jira, Asana, Zendesk, or comparable)
• Proficiency with Google Workspace (Slides and Sheets including formulas and data analysis)
• Experience with virtual meeting platforms (Zoom, Microsoft Teams, or similar)
• Experience with generative AI tools (ChatGPT, Gemini, or comparable) and building AI agents
• Project management certification (PMP, CAPM, Google Project Management) is a plus
• API fundamentals certification (Postman Student Expert or equivalent) is a plus

Compensation Details

Our cash compensation amount for this role is targeted at $121,000/yr- $149,000/yr in Scottsdale. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. 

About the Role:

We're looking for an experienced engineer with deep expertise in distributed data systems to shape the future of Gusto's storage layer. You'll manage complex migrations, architect high-scale systems, and set standards for automation, resiliency, and security. This is a high-impact role where you'll implement distributed database solutions that enable Gusto's continued growth and scale.

About the Team:

The Datastores Infrastructure Engineering team designs, builds, and operates the data platforms that power Gusto's product: MySQL, Postgres, Redis, Kafka, and S3. We ensure our infrastructure is consistent, reliable, and ready to support Gusto's growing needs. As we transition to self-hosted distributed databases, the team is focused on reducing blast radius, improving operational resilience, and enabling sustainable scale.

Here’s what you’ll do day-to-day:

• Architect, deploy, and own the full lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence
• Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services
• Define and drive efficiency improvements across the storage infrastructure through query optimization, caching strategies, and workload management
• Define standards and build reliable automation to ensure data consistency, integrity, and security across distributed systems
• Continuously improve operational excellence by reducing on-call burden through sustainable, long-term solutions
• Partner with product engineering teams and technical collaborators to enable rapid and reliable product development
• Mentor engineers across the Datastores Infrastructure team on best practices for operating complex, self-hosted distributed systems, actively developing our collective operational expertise

Here’s what we're looking for:

• 12+ years of software engineering experience building and scaling large-scale infrastructure systems
• Hands-on experience building and operating distributed databases on Kubernetes (strongly preferred: TiDB; alternatively: CockroachDB, Vitess, Citus, or similar solutions)
• Deep expertise in distributed data systems including horizontal sharding, partitioning strategies, and distributed transaction management
• Proven experience coordinating complex, zero-downtime migrations affecting production systems at scale
• 5+ years of AWS experience with RDS, Aurora, caching systems (Redis/ValKey), streaming platforms (Kafka), and infrastructure optimization at scale
• Strong communication skills with the ability to simplify technical complexity and collaborate on technical direction across teams
• Curiosity and ability to operate in an AI-native environment, leveraging AI tooling to enhance infrastructure operations, driving improvements in  query optimization, performance evaluation, and infrastructure automation
• Bonus: Experience with service extraction and vertical sharding from monolithic architectures
• Bonus: Experience working with Ruby on Rails or similar MVC frameworks at scale

Our cash compensation amount for this role is targeted at $200,000-$230,000 /yr in Denver & most remote locations, and $230,000-$270,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

About the Role:

At Gusto, we believe the next frontier of competitive advantage is the intelligence of the systems that power our people. As the Sr Principal PM, AI Workforce Enablement, you are the architect of the "Superhuman Agent." You won't just manage tools; you will redefine the relationship between Gusto’s workforce and technology. You are responsible for evolving our internal foundation into a proactive, agentic platform where AI handles the cognitive load, allowing our Go-to-Market (GTM) and Service teams to focus on high-value human connection. You will lead the transition of our legacy ecosystem into a future-state "exoskeleton" that empowers every employee to deliver an unparalleled, frictionless experience to our customers.

Gusto is looking for a hands-on builder to take on this leadership mantle as we rethink how people grow in an AI-native company. This role is not just about designing the systems that shape growth day-to-day, but the actual mechanics of work. You will be responsible for building new architecture and tearing down what no longer serves us. The goal is simple but hard: make growth obvious, continuous, and hard to avoid.

We’re looking for a leader who can balance strategic influence with hands-on craft—someone who can guide senior Gusto leaders through AI-native data strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed.

About the Team:

The Unified Service Platform (USP) product team serves as Gusto’s architectural backbone, responsible for engineering the intelligent, AI-driven ecosystem that brings GTM and Service operations into alignment. Our mission is to replace fragmented point solutions with a singular System of Intelligence—a digital exoskeleton that strips away administrative friction so our teams can focus on what matters most: our customers. Through our commitment to a #OneGusto experience, we provide the platform that ensures every internal interaction is backed by the full context of the customer journey.

We are an AI-native team building "agentic" solutions that transform how work happens. By mastering the AI-Human-AI loop, we own the delivery of a seamless, cross-channel journey across voice, chat, and email. Our goal is to ensure that our internal technical excellence creates an instant, easy and effortless experience for every business Gusto serves.

Here’s what you’ll do day-to-day:

• Architect of the "System of Intelligence": Lead the evolution of Gusto’s internal workspace by integrating 1P (first-party) and 3P (third-party) systems into a unified platform. Transform CRM into a proactive platform that anticipates agent needs and triggers automated workflows across the entire tech stack before manual intervention is required.
• Design the Future-State Agent Experience: Build the product mechanics for a symbiotic "AI-Human-AI" loop, where intelligent systems handle high-volume tasks and documentation, elevating our human experts to focus on high-value, high-empathy problem solving.
• Engineer the "Digital Exoskeleton": Ship real-time, context-aware assistance and agentic tools that eliminate cognitive load, enabling every Gustie to operate with "superhuman" speed and accuracy across voice, chat, and email.
• Lead with Technical Craft: Partner with Data Science and Engineering to bridge the gap between high-level AI strategy and rigorous execution, ensuring our models drive measurable gains in both agent productivity and employee sentiment.

Here’s what we're looking for:

• Visionary Product Leadership: 10+ years of experience in product management, with a proven track record of leading high-stakes internal platforms, RevOps, or Service technology at scale.
• AI Builder & Strategist: AI/ML specialist with deep expertise in LLMs and agentic workflows, building and shipping custom AI solutions that transform how teams work and scale.
• Systems Thinker: You see the "big picture" of how data and tools flow across a company and can architect solutions that solve for the end-to-end customer journey.
• Change Agent: Experience leading large-scale organizational transformations or merging complex technical teams into a unified organization.
• Human-Centric Empathy: A passion for "the work of work"—you are obsessed with making tools that employees love to use and that remove the friction from their daily lives.
• Strategic Execution: The ability to balance long-term 18-month missions (like #OneGusto) with the immediate tactical needs of a fast-growing GTM engine.

If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Our cash compensation amount for this role is $204,000/yr to $238,000/yr in Denver & most major metro locations, and $240,000/yr to $280,000/yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

The Role

We’re seeking a Senior+ Software Engineer to own and scale the backend systems powering our clinician-facing provider platform. While this is a full-stack environment, your focus will be primarily on backend services, APIs, and data pipelines that support clinician workflows, reporting, and internal tools.

You’ll work closely with product, design, and other engineers to deliver high-impact, production-grade systems. There’s also flexibility to contribute to front-end work (dashboards, report builders, internal tools), but the core of your impact will be in building robust, scalable backend systems.

What You'll Do:

• Design, build, and maintain backend services, APIs, and data models that power clinician workflows and reporting.
• Collaborate with front-end engineers to integrate backend functionality into dashboards, report builders, and internal clinical tools.
• Ensure reliability, scalability, and performance of data-rich applications
• Participate in system architecture discussions, code reviews, and knowledge sharing.
• Debug and troubleshoot issues across backend services and data pipelines.
• Partner with product and design to translate complex clinical requirements into technical solutions.
• Stay current with modern software engineering practices, especially in backend development.

Qualifications:

• 5+ years of professional software engineering experience, with strong backend focus.
• Expertise in Python, Node.js, or similar backend technologies.
• Solid experience with relational and/or NoSQL databases, data modeling, and API design.
• Comfortable owning backend features end-to-end, from database design to APIs and integrations.
• Experience building production-grade, data-driven applications.
• Familiarity with front-end frameworks (React, Angular, Vue) is a plus, but not required.
• Strong focus on code quality, maintainability, and documentation.
• Thrives in fast-moving, early-stage environments with greenfield projects.
• Experience building B2B SaaS or internal tools is a plus.
• Healthcare or regulated environment experience is a bonus, but not required.

About the Role:

We're hiring a Principal Engineer to serve as a Technical Lead across multiple teams in the Money Group – Gusto's fastest-growing organization and a cornerstone of the company's transformation into the Small Business Finance Platform. 

You'll define the long-term technical vision for systems that power cash flow management, lending, expense controls, invoicing, payments, and tax optimization (something about consumer financial health?)– ensuring the architecture scales as we grow. This role spans strategy and execution: setting architectural direction across 5+ teams, vetting external partners, prototyping new product lines to unblock product decisions, extracting services from our monolith, and mentoring the engineers around you. You'll be the person who fills whatever role the group needs to hit its goals – from hands-on coding to strategic planning to unblocking other teams.

If you're excited about building financial infrastructure with real impact on the people and businesses that power the modern economy, we'd love for you to join us.

About the Team:

Money is Gusto's fastest-growing group, building financial products for both sides of the employment relationship. For small businesses, we're extending the category of employer-facing financial services – bill pay, invoicing, working capital, expense cards, and cash flow insights that help SMBs get paid faster and pay others with confidence. For employees, we build tools that reduce financial stress: on-demand pay, high-yield cash accounts, automated savings, and credit-building features. This is a deeply technical domain spanning payments infrastructure, lending, multi-party integrations, and mobile-first experiences – with the complexity and scale to match.

Together, these teams are building toward a unified financial operating system for small businesses – accounting, banking, payments, lending, and tax – all connected to Gusto's payroll and people platform.

Our unique advantage is Gusto's authority over payroll data, which we leverage to build a payroll-confidence engine no standalone fintech can replicate.

Here’s what you’ll do day-to-day:

• Serve as a Technical Lead across multiple teams in the Money Group – setting architectural direction, unblocking engineers, and ensuring high-quality delivery aligned with long-term goals.
• Define the north-star architectural vision for the Money Group and continuously identify shorter-term projects that move us toward it.
• Architect the convergence of Gusto's People Stack (payroll, HR, benefits) and Finance Stack (banking, accounting, payments, lending) into a unified platform for small businesses.
• Lead service migration from a large Ruby-on-Rails monolith into a service-oriented architecture, defining clean domain boundaries across money movement, lending, and tax.
• Lead technical due diligence – evaluating codebases, data models, and engineering teams for compatibility with Gusto's platform.
• Manage a complex partner ecosystem.
• Build prototypes and proofs-of-concept to de-risk new ideas and unblock product decisions quickly.
• Tackle complex, ambiguous problems in close partnership with Product Management, Design, Data Science, Compliance, and Operations.
• Drive AI-native architecture decisions – from LLM-powered transaction categorization and tax optimization to conversational financial management experiences.
• Act as a technical consultant across all Money sub-teams – Consumer, Business, Tax Credits, Payments – ensuring architectural coherence across the group.
• Set the bar for technical excellence – through code, design reviews, and the standards you hold the group to.
• Mentor fellow engineers, contribute to the growth of senior and staff engineers, and help build healthy, high-performing teams.

Here’s what we're looking for:

• 15+ years of software engineering experience (successful applicants typically meet or exceed this).
• Deep expertise in distributed systems, particularly in payments or fintech – including data modeling for financial systems, consistency guarantees for money movement, and compliance-aware architecture.
• Proven track record of engineering, scaling, and operating large, interconnected production systems.
• Experience setting long-term technical vision and driving multi-year architectural transformations – not just executing migrations, but identifying the right boundaries, sequencing the work across teams, and ensuring strong technical stewards drive execution.
• Experience working across multiple teams, influencing both technical direction and product strategy. Demonstrated ability to own group-level OKRs and be accountable for the technical strategy that delivers them.
• Experience navigating decisions for core infrastructure, particularly in fintech – evaluating APIs, negotiating technical contracts, and leading integration from evaluation through production.
• Ability to bring clarity to complex problems – communicating technical tradeoffs to non-technical stakeholders, identifying significant risks or opportunities before others, and driving decisions.
• A track record of raising the technical bar – through code quality, design rigor, testing and security best practices, and the standards you set for those around you.
• A track record of filling whatever role the group needs – from hands-on prototyping to strategic planning to firefighting – with a bias toward action.
• Experience in complex, highly regulated domains (e.g., fintech, payments, banking, lending,

Our cash compensation for this role is $214,000-$260,000yr in Denver & most major metro locations, and $250,000-$300,000yr in San Francisco & New York. Final offer amounts are determined by multiple factors, including candidate location, experience, and expertise, and may vary from the amounts listed above.

About the Role:

We are looking for a Senior Software Engineer to architect, build, and maintain the data infrastructure at Gusto.  As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals. 

The Data Platform position is a software development role with knowledge of data architectures and data delivery. The ideal candidate is passionate about developing software, working with data, and

Here’s what you’ll do day-to-day:

• Architect, build, and refine our infrastructure and tools that enable other teams to work with data.
• Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time
• Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise.
• Work as part of a team. We value team players who share their knowledge and like collaborating with others.

Here’s what we're looking for:

• • At least 7 years of software engineering experience.
  • Experience building solutions in the cloud, AWS preferred (Redshift, MSK, EMR).
  • Experience with OLAP databases (Clickhouse)
  • Experience building data pipelines at scale, Airflow and Python preferred.
  • Experience with streaming systems desired (Kafka, Kinesis, or similar).
  • Ability to turn vague requirements into clear deliverables with minimal guidance.
  • Experience building and maintaining a modern data stack in production.

Our cash compensation amount for this role is targeted at $163,000-$204,000/year in Denver, $178,000-$223,000/year in Los Angeles, and $197,000-$247,000/year for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

YOUR MISSION

AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to help make that investment real. 

As a Senior AI Platform Engineer, you will build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work. 

The scope is broad by design. You may be standing up on-premises GPU infrastructure one week, building connectors between AI models and internal systems the next, and developing a custom application for a specific business workflow after that. You will contribute to platform-level technical decisions about AI providers, tools, and architectures. You will also help build and deliver AI training and enablement for the company, including office hours, brown bags, and hands-on resources. 

This role reports to the Chief Security Officer and works across every function. You will have meaningful autonomy, direct visibility to executive leadership, and the opportunity to shape how a fast-growing defense technology company operates with AI. 

RESPONSIBILITIES

• Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed 
• Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools 
• Contribute to technical evaluation and selection of AI providers, tools, and platforms, helping inform build-vs-buy decisions based on capability, compliance requirements, and speed to value 
• Help design and deliver AI training and enablement programs for the company, including hands-on workshops, office hours, documentation, and shared resources that build real fluency across teams 
• Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels 
• Stay current with the rapidly evolving AI landscape and surface new models, tools, and capabilities that could accelerate the company 

QUALIFICATIONS

• Software engineering background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling 
• Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), or agent frameworks 
• Experience building integrations between software systems using APIs, webhooks, data pipelines, or authentication flows 
• Ability to work across a broad technical surface area, moving between infrastructure, application development, and platform work as priorities require 
• Good communication skills and ability to explain technical AI concepts to non-technical audiences through training, documentation, or direct support 
• Comfortable operating with autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time 
• Ability to maintain or obtain TS//SCI clearance 

PREFERRED SKILLS AND EXPERIENCE

• Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints 
• Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, IL4/IL5) 
• Experience with on-premises GPU infrastructure (NVIDIA, CUDA) for model hosting or fine-tuning 
• Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies 
• Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure 
• Currently hold or have previously held a U.S. security clearance at any level 

COMPENSATION

• Base Salary: $170,000-$275,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—while we observe a hybrid work environment, you will need to be onsite as the business needs require. On an average week, you can expect to spend at least 3 days per week in office.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid

YOUR MISSION

AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to make that investment real. 

As a Staff AI Platform Engineer, you will be one of the first hires to build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work. 

The scope is broad by design. You may be standing up on-premises GPU infrastructure one week, building connectors between AI models and internal systems the next, and developing a custom application for a specific business workflow after that. You will make platform-level technical decisions about which AI providers, tools, and architectures to adopt. You will also own AI training and enablement for the company, running office hours, brown bags, and building the resources that help people get real value from these tools. 

This role reports to the Chief Security Officer and works across every function. You will have significant autonomy, direct access to executive leadership, and the opportunity to define how a fast-growing defense technology company operates with AI. 

RESPONSIBILITIES

• Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed 
• Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools 
• Own technical evaluation and selection of AI providers, tools, and platforms, making build-vs-buy decisions based on capability, compliance requirements, and speed to value 
• Design and deliver AI training and enablement programs for the company, including hands-on workshops, office hours, documentation, and shared resources that help teams build real fluency 
• Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels 
• Stay current with the rapidly evolving AI landscape and bring informed recommendations on new models, tools, and capabilities that could accelerate the company 

QUALIFICATIONS

• Strong software engineering background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling 
• Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), and agent frameworks 
• Experience building integrations between AI systems and enterprise platforms (APIs, webhooks, data pipelines, authentication flows) 
• Demonstrated ability to work across a broad technical surface area, context-switching between infrastructure, application development, and platform architecture 
• Strong communication skills and ability to translate technical AI concepts for non-technical audiences through training, documentation, and direct support 
• Self-directed and comfortable operating with high autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time 
• Ability to maintain or obtain TS//SCI clearance 

PREFERRED SKILLS AND EXPERIENCE

• Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints 
• Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, IL4/IL5) 
• Experience with on-premises GPU infrastructure (NVIDIA, CUDA) for model hosting or fine-tuning 
• Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies 
• Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure 
• Currently hold or have previously held a U.S. security clearance at any level 

COMPENSATION

• Base Salary: $200,000 - $330,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—while we observe a hybrid work environment, you will need to be onsite as the business needs require. On an average week, you can expect to spend at least 3 days per week in office.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid

The Role

Forge Quality Engineering team’s charter is to improve product quality. We thrive on maintaining high standards, obsessing over our customers, and living our values of being bold, humble, and accountable.

We are seeking a Staff Quality Engineer owning and delivering quality for large, complex financial trading systems. This role will be part of our Platform Services team.

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

Responsibilities

• Build comprehensive, bottom-up test strategies for the Platform Services organization
• Write test plans covering various customer use cases, including functional, compliance, and legal aspects
• Engage in projects from the initiation phase to identify requirement gaps and design failure modes
• Act as a force multiplier to help developers shift testing left
• Automate tests based on priority and business value
• Help adopt best practices to improve code quality
• Collaborate with product, design, information security, and business teams to quickly grasp domain knowledge
• Develop concise, clear, and detailed documentation
• Participate in scope definition, requirements analysis, functional and technical test design, and gap analysis
• Provide technical expertise in diagnosing and resolving issues, including determining workarounds or escalating to service owners
• Identify defect trends and partner with development teams to address root causes
• Leverage AI technologies to improve the effectiveness and efficiency of testing

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8–12 years of software testing experience
• Experience in fintech, trading, or financial services
• Experience leading quality efforts for internet applications
• Expertise in test automation (UI, API, or other layers)
• Experience enhancing test automation frameworks such as Playwright, Cypress, Selenium, K6, etc.

Qualifications

• Experience in end-to-end (E2E) automation, contract testing, API automation, and load/performance testing
• Experience with CI/CD pipelines
• Experience mentoring other quality engineers
• Proven track record of teamwork and delivery
• Experience at high-growth, venture-backed startups
• Experience with TypeScript and Node.js (strong plus)

For residents of the San Francisco, CA area, the annual salary range for this role is $169,000 - $200,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role

Forge Quality Engineering team’s charter is to improve product quality. We thrive on maintaining high standards, obsessing over our customers, and living our values of being bold, humble, and accountable.

We are seeking a Staff Quality Engineer owning and delivering quality for large, complex financial trading systems. This role will be part of our Platform Services team.

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

Responsibilities

• Build comprehensive, bottom-up test strategies for the Platform Services organization
• Write test plans covering various customer use cases, including functional, compliance, and legal aspects
• Engage in projects from the initiation phase to identify requirement gaps and design failure modes
• Act as a force multiplier to help developers shift testing left
• Automate tests based on priority and business value
• Help adopt best practices to improve code quality
• Collaborate with product, design, information security, and business teams to quickly grasp domain knowledge
• Develop concise, clear, and detailed documentation
• Participate in scope definition, requirements analysis, functional and technical test design, and gap analysis
• Provide technical expertise in diagnosing and resolving issues, including determining workarounds or escalating to service owners
• Identify defect trends and partner with development teams to address root causes
• Leverage AI technologies to improve the effectiveness and efficiency of testing

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8–12 years of software testing experience
• Experience in fintech, trading, or financial services
• Experience leading quality efforts for internet applications
• Expertise in test automation (UI, API, or other layers)
• Experience enhancing test automation frameworks such as Playwright, Cypress, Selenium, K6, etc.

Qualifications

• Experience in end-to-end (E2E) automation, contract testing, API automation, and load/performance testing
• Experience with CI/CD pipelines
• Experience mentoring other quality engineers
• Proven track record of teamwork and delivery
• Experience at high-growth, venture-backed startups
• Experience with TypeScript and Node.js (strong plus)

For residents of the New York, NY area, the annual salary range for this role is $169,000 - $200,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role

Forge Quality Engineering team’s charter is to improve product quality. We thrive on maintaining high standards, obsessing over our customers, and living our values of being bold, humble, and accountable.

We are seeking a Staff Quality Engineer owning and delivering quality for large, complex financial trading systems. This role will be part of our Platform Services 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.

Responsibilities

• Build comprehensive, bottom-up test strategies for the Platform Services organization
• Write test plans covering various customer use cases, including functional, compliance, and legal aspects
• Engage in projects from the initiation phase to identify requirement gaps and design failure modes
• Act as a force multiplier to help developers shift testing left
• Automate tests based on priority and business value
• Help adopt best practices to improve code quality
• Collaborate with product, design, information security, and business teams to quickly grasp domain knowledge
• Develop concise, clear, and detailed documentation
• Participate in scope definition, requirements analysis, functional and technical test design, and gap analysis
• Provide technical expertise in diagnosing and resolving issues, including determining workarounds or escalating to service owners
• Identify defect trends and partner with development teams to address root causes
• Leverage AI technologies to improve the effectiveness and efficiency of testing

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8–12 years of software testing experience
• Experience in fintech, trading, or financial services
• Experience leading quality efforts for internet applications
• Expertise in test automation (UI, API, or other layers)
• Experience enhancing test automation frameworks such as Playwright, Cypress, Selenium, K6, etc.

Qualifications

• Experience in end-to-end (E2E) automation, contract testing, API automation, and load/performance testing
• Experience with CI/CD pipelines
• Experience mentoring other quality engineers
• Proven track record of teamwork and delivery
• Experience at high-growth, venture-backed startups
• Experience with TypeScript and Node.js (strong plus)

For residents of the Denver, CO the annual salary range for this role is $155,000 - $175,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra::Machines::Design, you will support sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act a member of the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle 
• Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations 
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience 
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASH
• Extra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders 
• An insatiable passion for constant improvement

Compensation Range: 

• $83,000 - $104,000

*This is a remote role

JR: 2026-7565

#LI-Remote

Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
• Maintain and develop APIs, MCPs and SDKs
• Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
• Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.

Compensation Range: 

• $184,000 - $231,000

*This is a remote role

JR: 2026-7617

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

We are looking for an entry-level hardware technologist with experience testing and deploying firmware to server hardware at scale. Reporting to the Manager of Infra::Machines::Design, the Firmware Qualification Engineer will qualify and deploy firmware packages across DigitalOcean products and components and join a team of engineers who have already paved the way for the many tens of thousands of servers in our infrastructure. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and explore new technologies to bring to our customers.

What You’ll Be Doing:

• Work with vendors and internal peer teams on qualifying, onboarding, and delivering new firmware to the DigitalOcean ecosystem
• Act as Tier 3 escalation on-call for triage, investigation, and resolution of system firmware issues in the DigitalOcean fleet (both customer-facing and internal)
• Participate in 24/7 on-call rotation with other members of the teamImprove existing firmware and hardware configuration automation/validation, for both hardware platforms and components (such as NIC, Storage and BMC)
• Engage with hardware vendors about new automation features and existing bugsHelp with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alertingAssist in troubleshooting causes of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Strong understanding of x86 server hardware architecture and subsystems.
• Ideally, you’ve worked with non-x86 hardware too!Demonstrated professional proficiency in configuration management best-practices (we use Ansible and Chef)
• Experience automating server firmware components at large-scale using industry-standard tooling (Redfish, IPMI, etc) including a deep understanding of benchmarking, automating test frameworks, and process automation in general
• Practical knowledge of PXE boot, UEFI, Linux/OS boot, AMI/OEM BIOS distributions, OpenBMC/AMI/OEM BMC implementations, RAID and other storage resiliency technologies, and the full Network stack- from NIC firmware to TCP/IPAdept at Linux (or Unix) operating systems. You’ll be spending a lot of time working in one!
• Comfortable with version control systems (we use Git) and proficient in at least one programming language (such as Python or Go) Ability to participate in 24/7 on-call rotation with other members of the team
• Excellent communication skills, both within the team and with the broader company
• Have an insatiable passion for hardware, both new and old 

Compensation Range: 

• $83,000 - $104,000

*This is a remote role

JR: 2026-7606

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra Machines Design, you will act as the team lead for sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act as technical lead for the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Liase with DCOPS teams to develop, deliver, and support hardware-related runbooks
• Liase with vendor support teams regarding hardware and firmware issues and drive issues to resolution Identify gaps in tooling and operational processes and engage appropriate peer teams to close gaps
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operationsCoordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASHExtra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders An insatiable passion for constant improvement

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7601

#LI-Remote

We are looking for a Senior Engineer II who is passionate about Kubernetes and excited about the opportunity to take our managed Kubernetes solution (DOKS) to the next level.

As a Senior Engineer II at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role is on the DOKS team that is in charge of DigitalOcean's managed Kubernetes offering.

What You’ll Do:

• Develop the DigitalOcean Managed Kubernetes product.
• Contribute to our growing GPU offering to support scalable inference workloads at DigitalOcean.
• Develop back-end gRPC services written in Go deployed on Kubernetes.
• Design back-end services and author engineering design documents.
• Raise the bar for Operational Excellence.
• Independently lead projects.
• Navigate the complexity of distributed systems and operate them in production.
• Break the design documents into actionable epics and stories with estimates.
• Run experiments to optimize user experience and increase adoption of DOKS.
• Contribute to and maintain open-source projects, and collaborate with our developer community through customer meetings, blogs, and podcasts.
• Find emerging tools, trends, and methodologies and show your team how to integrate them against existing systems and processes. 
• Regularly interact with important customers to understand their needs in the product.
• Contribute meaningfully to discussions on architecture, implementation, design patterns, and processes while being able to succinctly convey ideas to peers and mentees.
• Work on teams that operate across multiple time zones.

What You’ll Add to DigitalOcean:

• Expert knowledge of Kubernetes internals and Go.
• Experience operating Kubernetes platforms at scale.
• Ability to drive complex projects from inception through completion.

Compensation Range:

•  $167,200 - $209,000

*This is a remote role

#LI-Remote

We are looking for a Senior Engineer I who is passionate about Kubernetes and excited about the opportunity to take our managed Kubernetes solution (DOKS) to the next level.

As a Senior Engineer I at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role is on the DOKS team that is in charge of DigitalOcean's managed Kubernetes offering.

What You’ll Do:

• Develop the DigitalOcean Managed Kubernetes product.
• Contribute to our growing GPU offering to support scalable inference workloads at DigitalOcean.
• Develop back-end gRPC services written in Go deployed on Kubernetes.
• Design back-end services and author engineering design documents.
• Raise the bar for Operational Excellence.
• Independently lead projects.
• Navigate the complexity of distributed systems and operate them in production.
• Break the design documents into actionable epics and stories with estimates.
• Run experiments to optimize user experience and increase adoption of DOKS.
• Contribute to and maintain open-source projects, and collaborate with our developer community through customer meetings, blogs, and podcasts.
• Find emerging tools, trends, and methodologies and show your team how to integrate them against existing systems and processes.
• Regularly interact with important customers to understand their needs in the product.
• Contribute meaningfully to discussions on architecture, implementation, design patterns, and processes while being able to succinctly convey ideas to peers and mentees.
• Work on teams that operate across multiple time zones.

What You’ll Add to DigitalOcean:

• Expert knowledge of Kubernetes internals and Go.
• Experience operating Kubernetes platforms at scale.
• Ability to drive complex projects from inception through completion.

Compensation Range:

$139,200 - $174,000

*This is a remote role

#LI-Remote

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 2pm - 10pm MST

*This is a remote role

JR: 2026-7646

#LI-Remote

We are seeking a Senior Software Engineer (IC3) to join our Customer Trust & Engineering team working on Identity and Access Management. IAM is the bedrock of trust at DigitalOcean; our services sit in the critical path of every request, authorizing billions of transactions per second with single-digit millisecond latency.

In this role, you won't just maintain existing systems—you will architect the next generation of our Identity platform. You will be instrumental in supporting our AI initiatives, building seamless SSO integrations for global partners, and evolving our policy engine to support complex, agentic workflows. If you are passionate about distributed systems, security-first engineering, and building at hyperscale, this is the team for you.

What You’ll Do

• Architect for Scale: Design and develop high-availability, low-latency authentication and authorization services in Go that scale to handle massive load spikes across global regions.
• Drive Next-Gen Innovation: Build the IAM foundations for emerging cloud-native AI/ML platforms, designing secure token exchange patterns and identity context injection for agentic AI workflows.
• Modernize Identity: Lead the implementation of OIDC and SAML integrations, enabling seamless federated Single Sign-On (SSO) for enterprise customers and strategic global partners.
• Solve Complex AuthZ: Evolve our Policy Engine (using industry standards like Rego/OPA) to support advanced resource-level permissions, dynamic scoping, and network-aware access conditions.
• Evolve Identity Models: Design and scale robust, multi-tenant data models to manage complex hierarchical structures (users, teams, organizations, and resource boundaries) that map to enterprise customer needs.
• Operational Excellence: Take ownership of service reliability, from fine-tuning Kubernetes deployments to migrating legacy data pipelines to modern eventing architectures.
• Security First: Proactively identify and remediate complex security vulnerabilities, ensuring our auth flows are resilient against credential stuffing, session hijacking, and configuration theft.
• Mentor & Lead: Act as a technical lead for major workstreams, conducting deep code reviews and mentoring junior engineers in distributed systems best practices.

What You’ll Add to DigitalOcean

• Experience: 5+ years of software engineering experience, with at least 2+ years focused on Identity (AuthN/AuthZ), Security Products, or high-scale Distributed Systems.
• Language Expert: Expert-level proficiency in Go and a strong understanding of gRPC microservices architecture.
• Identity Specialist: Deep knowledge of identity protocols (OIDC, OAuth2, SAML) and access control models (RBAC, ABAC, PBAC).
• Distributed Systems Guru: Proven ability to build systems that handle consensus, replication, and partitioning at cloud scale.
• Cloud Native: Working experience with container orchestration (Kubernetes), SQL (MySQL), and Infrastructure as Code (Terraform).
• Problem Solver: A track record of "unwinding" complex legacy logic into clean, maintainable abstractions.
• Communication: Ability to communicate technical strategy to senior leadership and collaborate across teams (Inference, Billing, DOKS).

Nice to Have

• Experience with Open Policy Agent (OPA) and Rego.
• Familiarity with Cloud-native deployment strategies (Canary/Blue-Green) via kubernetes.

Compensation Range: 

• $140,800 - $176,000

*This is a remote role

JR: 2026-7665

#LI-Remote