Platform Engineer, APIs & Observability
- Role
- DevOps
- Experience
- Senior
- Employment
- Full-time
The listing doesn't say where it hires from. It may hire in United States (90% confidence). This is an estimate, not an eligibility rule; verify before applying.Signals: stated job location and company offices.
Core skills
Required skills
Optional skills
ABOUT THE COMPANY
StackAI (by Asana) is a no-code AI workflow platform that empowers companies to build, deploy, and scale AI-powered workflows easily. With thousands of users and rapidly growing enterprise adoption, our mission is to democratize access to LLMs and bring AI into the hands of every business operator, not just developers. An Asana Company, we're building the foundational platform for the AI-driven future of work
THE ROLE
Every developer who builds on StackAI works through your API, and every customer who wants to understand what their agents are doing relies on the analytics you build. We're hiring a Platform Engineer, APIs & Observability to own both: the public API the ecosystem builds on, and the observability and analytics that make a platform full of autonomous agents understandable.
This is high-leverage, highly visible work. The API is the contract every integration depends on, and observability for multi-step, multi-model agent runs is a hard, interesting problem. You'll own the surfaces developers and customers use every day.
WHAT YOU'LL DO
- 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.
WHAT WE'RE LOOKING FOR
- 4+ years building backend services and public APIs in production.
- Strong API craft: RESTful design, SDK ergonomics, and rate limiting.
- You speak fluent OpenAPI — 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.
Platform engineering is broad. If you're strong on most of this and excited to grow into the rest, we'd like to hear from you, even if you don't check every box.
BONUS POINTS
- 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.
WHY STACKAI
You'll join a lean, high-impact team and own the surfaces developers and customers touch every day. Your work ships fast and is felt across the whole product.
StackAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
What you'll do
- 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.
What they require
- 4+ years building backend services and public APIs in production.
- Strong API craft: RESTful design, SDK ergonomics, and rate limiting.
- You speak fluent OpenAPI — 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.
Benefits
- You'll join a lean, high-impact team and own the surfaces developers and customers touch every day.
- Your work ships fast and is felt across the whole product.
Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process. Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models. Our customers use Stack AI to build applications such as: - Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs. - Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long. - Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them. - Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.