Platform Engineer, APIs & Observability
Platform Engineer owning StackAI's public APIs, SDKs, observability, tracing, analytics, and audit logging for AI agent workflows. Requires 4+ years building production backend services and APIs, with strong Python/FastAPI and observability experience.
About the job
Responsibilities
- Help build the public API as a product. Design, version, and evolve the API and SDKs that StackAI customers build on, and keep the developer experience first-class.
- Set our API standards. Help define the conventions, versioning and deprecation policy, and review bar that keep every API across the platform consistent and predictable.
- Make agent runs observable. Build tracing and instrumentation that let anyone follow a single agent run end to end, across its models, tools, and sub-agents.
- Turn usage into analytics customers act on. Build the reporting that shows customers how their agents perform, what they cost, and where to improve.
- Own the audit trail. Build the audit logging and team-scoped views enterprises rely on.
Requirements
- 4+ years building backend services and public APIs in production.
- Strong API craft: RESTful design, SDK ergonomics, and rate limiting.
- Experience defining API standards and governance: versioning, deprecation, and consistency across services.
- Fluency with observability and analytics: distributed tracing, metrics, and turning raw signals into data products people rely on.
- Strong in Python and modern backend frameworks (FastAPI or similar), comfortable across TypeScript/Node.js on the product surfaces.
Nice-to-Haves
- OpenTelemetry or distributed tracing at scale.
- Analytics datastores (ClickHouse, Druid, or similar).
- Designing developer-facing SDKs used by external customers.
- AI or LLM platform experience: token and cost accounting, agent-run tracing.
- Startup or growth-stage experience.
Skills
Python, FastAPI, TypeScript, Node.js, REST APIs, Openapi, OpenTelemetry, Distributed Tracing, ClickHouse, Druid
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