Scale AI
Senior Software Engineer, Platform
$216K–$270K
San Francisco, CA +2 · Senior · Full-time · Posted Sep 3, 2026
- Location
- San Francisco, CA
New York, NY
San Francisco, California, United States - Experience
- 5+ years of full-time software engineering experience, focused on backend, infrastructure, and distributed systems.
About the job
Build and evolve Scale’s orchestration platform, enabling teams to develop and operate reliable, scalable distributed workflows.
What you'll do
- Lead the architecture, implementation, and operation of the core orchestration platform.
- Build workflow infrastructure and define primitives and APIs for scheduling, retries, state management, execution, observability, and lifecycle management.
- Improve platform reliability, scalability, security, and developer experience while coordinating with teams and setting technical standards.
What they ask for
- Production systems experience with strong reliability, availability, and scale requirements.
- Deep familiarity with workflow orchestration platforms and Kubernetes/containerized production environments.
- Strong knowledge of distributed-systems concepts, including asynchronous execution, retries, idempotency, fault tolerance, state management, and observability.
- Track record leading technically complex projects from design through rollout and ongoing operation.
Nice to have
- Experience with Snowflake, Firebolt, Dagster, or dbt.
- Experience with authentication/authorization systems such as Zanzibar or Authz.
Pay
$216,000 — $270,000 USD (base salary)
Tools
Temporal, Cadence, Kubernetes, AWS Step Functions, Terraform, Docker, Snowflake, Firebolt
AI focus
Build infrastructure that powers workflows for data and model-evaluation pipelines and other AI systems; excitement to work with AI technologies is listed as a nice-to-have.
Model-written summary · the original posting is authoritative