About the role
Our systems ingest thousands of documents per day, orchestrate AI-powered workflows, and surface actionable insights in a heavily regulated environment.
As a Staff Backend Engineer, you’ll lead the highest-leverage backend projects at Stream—architecting core services, setting technical direction, and mentoring the team through strong standards and reviews.
You’ll turn ambiguous problems into reliable production systems. That includes defining success metrics, validating solutions with data, and building the infrastructure that makes AI-assisted workflows safe, fast, and maintainable over time.
This role is based in our San Francisco office (Mission District) and is in person four days per week.
What You’ll Do
- Own high-impact initiatives end to end: discovery → requirements → MVP → evaluation → production → monitoring.
- Productionize agentic systems by orchestrating LLM/embedding pipelines with guardrails, caching, retries, evals, and robust failure handling.
- Build and scale core backend services that ingest documents, run workflows, and deliver customer value with low latency and cost.
- Design systems and data models that hold up at scale (DynamoDB/Redshift/S3), with audit trails and easy querying.
- Raise the bar on platform quality: reliability, observability, SLOs, incident response, and strong engineering standards through design docs and reviews.
What You’ll Bring
- 8+ years building backend systems in production, ideally in SaaS or data-heavy environments.
- Strong systems thinking: APIs, async processing, data-intensive workloads, and resilience under failure.
- Strong Python + AWS experience (or comparable), including serverless/container workloads and data systems (DynamoDB/Redshift/S3).
