13 days ago
Base Salary
$216k - $270k/yr
Responsibilities
- Lead the architecture, design, implementation, and operation of the core orchestration platform.
- Build durable workflow infrastructure using Temporal, Cadence, Kubernetes, and cloud-native systems.
- Define platform primitives and APIs for scheduling, retries, state management, task execution, observability, and workflow lifecycle management.
- Partner with product, infrastructure, data, and application teams to turn workflow needs into reusable platform capabilities.
- Improve service reliability, scalability, security, and developer experience.
- Establish technical standards for distributed workflow development, deployment, testing, and incident response.
- Drive cross-functional technical decisions and communicate platform direction to engineers and stakeholders.
Requirements
- 5+ years of full-time software engineering experience focused on backend, infrastructure, and distributed systems.
- Experience building and operating production systems with strong reliability, availability, and scalability requirements.
- Deep familiarity with workflow orchestration platforms such as Temporal, Cadence, AWS Step Functions, Kubernetes, or similar systems.
- Deep familiarity with Kubernetes and containerized production environments, plus familiarity with Terraform and Docker.
- Strong knowledge of distributed-systems concepts including asynchronous execution, retries, idempotency, fault tolerance, state management, and observability.
- Track record of leading technically complex projects from design through rollout and ongoing operation.
- Strong communication and collaboration skills with technical and non-technical stakeholders.
- Preferred experience with Snowflake, Firebolt, Dagster, dbt, Zanzibar, or other authentication and authorization systems.
- Experience scaling products at hyper-growth startups and enthusiasm for AI technologies are nice to have.
Benefits
- Base salary, equity, and benefits are included for eligible roles.
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- Some roles may be eligible for a commuter stipend.
- Full-time position located in San Francisco, New York, or Seattle; the posting advises referencing the subtitle for the specific location.
- A 90-day waiting period applies before reconsidering candidates for the same role.
Tech Stack
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.