Senior Software Engineer, Orchestration Platform at Scale AI · Web3Vacancy
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Senior Software Engineer, Orchestration Platform

Hybrid
$216,000–$270,000
◆ 9/10 aitechFull Stack Developerhybrid
About this role

Join Scale AI as a Senior Software Engineer to build and evolve the Orchestration Platform, enabling reliable AI systems for critical workflows across various industries.

Description

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.

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.
Requirements
  • 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.
Conditions & Benefits
  • Compensation packages include base salary, equity, and benefits.
  • Base salary range for this full-time position in San Francisco, New York, Seattle is: $216,000 — $270,000 USD.
  • Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
  • This role may be eligible for additional benefits such as a commuter stipend.
Job Details
Salary$216,000–$270,000
LocationHybrid
AI Score★★★★★★★★★☆ 9/10
PostedOct 2, 2026 (10d ago)
Tags & Skills
aitechFull Stack Developerhybrid
Tech Stack
backendinfrastructuredistributed systemsKubernetescloud-native systemsTemporalCadenceDockerTerraform

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