Staff Platform Engineer

About the Opportunity

The Platform team owns Komodo’s core control plane – KMC/PSS, identity and access, subscription lifecycle, and the SDKs and tools that power all Komodo products such as App Builder and Connector, Maplab, Sentinel, and 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. You will partner closely with Product, FDE, and customer-facing teams to turn complex onboarding and platform requirements into robust, well-documented systems.

First 12 Months Expectations

• Developed a deep understanding of the platform, 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 (e.g., My Subscriptions enhancements, self-service SAML SSO, or new admin workflows).
• Become the go-to technical owner of core platform contracts (APIs, data models, events, and RBAC patterns) for subscription services and related workflows.
• Architected and deployed custom MCP (Model Context Protocol) tooling and autonomous agents to automate complex platform engineering tasks.
• Contributed to the development of secure, reliable API endpoints and platform services.
• Defined and improved monitoring, alerting, and observability for platform services and actively participated in on-call rotation.
• Acted as the escalation point for complex, cross-system incidents touching KMC, Connector, and App Builder.
• Collaborated with cross-functional teams to support new feature rollouts and integrate authentication services with various APIs and external systems.
• Enhanced developer experience through clear documentation, debugging tools, and the adoption of AI-powered development workflows (e.g., Cursor, Claude, Gemini).

Requirements

• Engineering Excellence: Expert-level backend engineering experience 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) 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.
• Data & Observability: Familiarity with modern data platforms and workflow tools (e.g., Snowflake, Airflow, Spark) and designing for observability across complex distributed systems.
• System Design & Tradeoffs: Ability to design solutions balancing performance, cost, maintainability, reliability, and developer experience.
• Leadership & Collaboration: Demonstrated ability to drive complex, cross-team projects to completion, mentor engineers, and collaborate across disciplines.
• AI & Productivity: Comfort leveraging AI tools and integrating LLM-based workflows into the SDLC.

Preferred Qualifications

• Experience with Python and FastAPI.
• AWS cloud infrastructure certification.
• 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.