Staff Platform Engineer at Komodo Health

Job description

We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Opportunity at Komodo Health: The Platform team owns Komodo’s core control plane – KMC/PSS, identity and access, subscription lifecycle, and the SDKs and tools that power all the Komodo products such as App Builder and Connector, Maplab, Sentinel, Marmot . We provide the foundations that internal teams and customers use to onboard, manage access, and build on top of Komodo’s data. Our work enables 150+ client organizations and internal product teams to operate reliably, securely, and efficiently at scale. This Staff Engineer role exists to lead the technical direction across KMC/PSS and App Builder + Connector, ensuring our platform is reliable, secure, cost-efficient, and easy to build on. They will partner closely with Product, FDE, and customer-facing teams to turn complex onboarding and platform requirements into robust, well-documented systems. This role is a key part of how we scale self-service onboarding, expand our platform surface area, and ultimately reduce the burden of disease by making Komodo’s data and services more accessible. Looking back on your first 12 months at Komodo Health, you will have accomplished… Developed a deep understanding of the platform, our internal/external customers, and how KMC, Connector, and App Builder fit into Komodo’s product ecosystem. Owned and delivered at least one major subscription service initiative (for example, My Subscriptions enhancements, self-service SAML SSO, or new admin workflows), improving time-to-onboard and operator efficiency for internal teams. Become the go-to technical owner of core platform contracts (APIs, data models, events, and RBAC patterns) for subscription services and related platform workflows, reducing integration friction and ambiguity for downstream product teams. Architected and deployed custom MCP (Model Context Protocol) tooling and autonomous agents, enabling seamless data interoperability between internal systems and AI models to automate complex platform engineering tasks. Contributed to the development of secure, reliable API endpoints and platform services, solving key development and deployment challenges to make platform infrastructure highly reliable, easy to maintain, and cost-effective. Defined and improved monitoring, alerting, and observability for platform services and actively participated in the on-call rotation to support production systems. Acted as the escalation point for complex, cross-system incidents touching KMC, Connector, and App Builder, combining fast triage with deeper investigation to protect customer experience and platform reliability. Collaborated effectively with cross-functional teams (solution architects, forward-deployed engineers, customer success, and product) to support new feature rollouts and integrate authentication services with various APIs and external systems. Implemented measures to enhance developer experience, such as well-documented code, clear API documentation, efficient debugging tools, and the adoption of AI-powered development and operations workflows (e.g., Cursor, Claude, and Gemini) that measurably improved developer productivity and reduced MTTR for the Platform team. What you bring to Komodo Health (required): Engineering Excellence: Expert-level backend engineering experience (Python + FastAPI preferred) building and operating APIs and microservices at scale, with strong debugging and technical troubleshooting skills. Platform & Control Plane Experience: Proven track record designing and evolving core platform primitives (e.g., authentication/authorization, orgs/accounts, subscriptions, or similar control-plane systems) in a multi-tenant SaaS environment. Cloud Infrastructure: Profound experience with AWS core services and the ability to architect secure, scalable, and cost-efficient solutions from high-level requirements. Data & Observability: Familiarity with modern data platforms and workflow tools (e.g., Snowflake, Airflow, Spark) and an understanding of how to design for observability (metrics, logs, traces, events) across complex distributed systems. System Design & Tradeoffs: Ability to design solutions that thoughtfully balance non-functional concerns such as performance, cost, maintainability, reliability, and developer experience. Leadership & Collaboration: Demonstrated ability to drive complex, cross-team projects to completion, mentor other engineers, and collaborate effectively with product managers, data scientists, and customer-facing teams. AI & Productivity: Comfort leveraging AI tools (e.g., Cursor, ChatGPT, Gemini) and interest in integrating LLM-based workflows into the SDLC to improve engineering velocity and quality. Additional skills and experience we’d prioritize (nice to have) Experience with AWS preferred. AWS cloud infrastructure certification is a plus. Experience with data privacy concerns such as HIPAA or GDPR Working knowledge of data modeling and storage across relational (PostgreSQL), NoSQL (DynamoDB, Redis), and MPP databases (Snowflake, Redshift). Prior experience in platform or infrastructure teams supporting internal and external developers, including SDKs, CLIs, and self-service tooling. Experience working with cross-functional teams and with other customer-facing teams Passion! We hope you are passionate about our mission and technology Ownership! We hope you own your work, be accountable, and push it through the finish line. We hope you treat yourself as a cofounder and do not hesitate to share any idea that helps Komodo Expertise! We do not need you to know everything, but we hope you have deep knowledge in at least one area and can start contributing quickly. And we would love to learn from you in your area(s) of expertise as well. The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. San Francisco Bay Area and New York City: $196,000 — $275,000 USD All Other US Locations: $170,000 — $240,000 USD Komodo's AI Standard At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence. Where You’ll Work Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join. Equal Opportunity Statement Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with 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. By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors . This notice explains how we collect, use, and retain applicant data.

Requirements

Must-haves

We Breathe Life Into Data
Looking back on your first 12 months at Komodo Health, you will have accomplished…
Developed a deep understanding of the platform, our internal/external customers, and how KMC, Connector, and App Builder fit into Komodo’s product ecosystem.
Architected and deployed custom MCP (Model Context Protocol) tooling and autonomous agents, enabling seamless data interoperability between internal systems and AI models to automate complex platform engineering tasks.
Defined and improved monitoring, alerting, and observability for platform services and actively participated in the on-call rotation to support production systems.
Acted as the escalation point for complex, cross-system incidents touching KMC, Connector, and App Builder, combining fast triage with deeper investigation to protect customer experience and platform reliability.
Cloud Infrastructure: Profound experience with AWS core services and the ability to architect secure, scalable, and cost-efficient solutions from high-level requirements.
System Design & Tradeoffs: Ability to design solutions that thoughtfully balance non-functional concerns such as performance, cost, maintainability, reliability, and developer experience.
AI & Productivity: Comfort leveraging AI tools (e.g., Cursor, ChatGPT, Gemini) and interest in integrating LLM-based workflows into the SDLC to improve engineering velocity and quality.
Experience with data privacy concerns such as HIPAA or GDPR
Working knowledge of data modeling and storage across relational (PostgreSQL), NoSQL (DynamoDB, Redis), and MPP databases (Snowflake, Redshift).
Prior experience in platform or infrastructure teams supporting internal and external developers, including SDKs, CLIs, and self-service tooling.
Experience working with cross-functional teams and with other customer-facing teams
Passion! We hope you are passionate about our mission and technology
Ownership! We hope you own your work, be accountable, and push it through the finish line. We hope you treat yourself as a cofounder and do not hesitate to share any idea that helps Komodo
Expertise! We do not need you to know everything, but we hope you have deep knowledge in at least one area and can start contributing quickly. And we would love to learn from you in your area(s) of expertise as well.
Join us in shaping the future of healthcare intelligence. Where You’ll Work

Nice-to-haves

Engineering Excellence: Expert-level backend engineering experience (Python + FastAPI preferred) building and operating APIs and microservices at scale, with strong debugging and technical troubleshooting skills.
Additional skills and experience we’d prioritize (nice to have)
Experience with AWS preferred. AWS cloud infrastructure certification is a plus.

Application prep

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Platform: greenhouse
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Benefits

Benefits detected in the listing.

Dental

Vision

401(K)