Senior Software Engineer, Orchestration Platform

Roles and Responsibilities:

• Lead the architecture, design, implementation, and operation of Scale’s core orchestration platform.
• Build durable workflow infrastructure using technologies such as 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 understand workflow needs and turn them into reusable platform capabilities.
• Improve the reliability, scalability, security, and developer experience of services that run critical company workflows.
• Establish technical standards and best practices for distributed workflow development, deployment, testing, and incident response.
• Drive cross-functional technical decisions and communicate platform direction clearly to engineers and stakeholders.

Ideal Candidate:

• 5+ years of full-time software engineering experience, with a focus on backend, infrastructure, and distributed systems.
• Experience building and operating production systems with strong requirements for reliability, availability, and scale.
• 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, and familiarity with Terraform, Docker.
• Strong knowledge of distributed-systems concepts, including asynchronous execution, retries, idempotency, fault tolerance, state management, and observability.
• A track record of leading technically complex projects from design through rollout and ongoing operation.
• Excellent communication skills and the ability to collaborate effectively with platform consumers and non-technical stakeholders.

Nice to Haves:

• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).
• Experience with authentication/authorization systems (Zanzibar, Authz, etc).
• Experience scaling products at hyper-growth startups.
• Excitement to work with AI technologies.