Senior/Staff Platform Engineer
United States · Hybrid · Full-time
- Posted 1mo ago
- From Komodo Health’s careers page
- Location
- United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Staff
- Experience
- 5+ years
- Department
- Information Technology
Opens the listing on job-boards.greenhouse.io
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About the role
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.
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.
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About Komodo Health
Healthcare data and AI for life sciencesKomodo Health provides healthcare data, analytics, and AI tools for organizations making decisions across healthcare and life sciences.
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In your inbox every Wednesday and SaturdayPersonalised suggestions from verified career pages, matched to your role, location, level and skills.