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Senior Software Engineer (Orchestration Platform)

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Onsite

Senior Software Engineer (Orchestration Platform)

Scale AI

Senior Software Engineer (Orchestration Platform)

Skills

DockerSnowflakeAIAWSdbtKubernetesTerraform

13 days ago

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Important information


Contract type:

Permanent

Salary:

$216,000 – $270,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

8 October 2026

What they need


  • Scale is building reliable AI systems for the world’s most important decisions
  • Our products help leading enterprises, governments, and frontier AI labs build, deploy, and evaluate AI systems at scale
  • The Orchestration Platform is a core technology used across the company to run durable, reliable, and scalable workflows
  • It powers the complex, long-running processes behind Scale’s products - from data and model-evaluation pipelines to operational systems and customer-facing workflows
  • As a Senior Software Engineer, you will help build and evolve this foundational orchestration platform
  • You will design the primitives, services, and developer experience that enable teams across Scale to author, operate, observe, and safely scale distributed workflows
  • This is a high-leverage role for an engineer excited by distributed systems, reliability, and platform infrastructure used by many internal teams
  • 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

Benefits

  • Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
  • Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
  • Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
  • Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.- Deep familiarity with workflow orchestration platforms such as Temporal, Cadence, AWS Step Functions, Kubernetes, or similar systems
  • Excellent communication skills and the ability to collaborate effectively with platform consumers and non-technical stakeholders
  • A track record of leading technically complex projects from design through rollout and ongoing operation
  • Deep familiarity with Kubernetes and containerized production environments, and familiarity with Terraform, Docker
  • 5+ years of full-time software engineering experience, with a focus on backend, infrastructure, and distributed systems
  • Strong knowledge of distributed-systems concepts, including asynchronous execution, retries, idempotency, fault tolerance, state management, and observability
  • Experience building and operating production systems with strong requirements for reliability, availability, and scale
  • 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

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