Staff Platform Engineer (Pacific Time Zone)

We are seeking a Staff Platform Engineer to join our team at Komodo Health. As a Staff Platform Engineer, you will be responsible for leading the technical direction across KMC/PSS and App Builder + Connector, ensuring our platform is reliable, secure, cost-efficient, and easy to build on.

You 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.

In 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!

• Ownership!

• Expertise!