Senior Orchestration Platform Engineer

Scale AI; San Francisco, New York (CA, NY); On-site; USD 216,000 - 270,000; Full time

Job summary

Scale AI is seeking a Senior Software Engineer to advance the Orchestration Platform, shaping primitives, services, and APIs that enable Scale teams to author, operate, observe, and safely scale distributed workflows.

You will lead architecture and implementation, leveraging Temporal, Cadence, Kubernetes, and cloud-native tech, while collaborating with product, infra, and data teams to deliver reliable workflow infrastructure.

Qualifications

• 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.

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.

Skills

Distributed systems

Backend engineering

Leadership

Cloud-native

Observability

Tools

Temporal

Cadence

Kubernetes

Terraform

Docker

Job description

Scale AI is seeking a Senior Software Engineer to advance the Orchestration Platform, shaping primitives, services, and APIs that enable Scale teams to author, operate, observe, and safely scale distributed workflows.

You will lead architecture and implementation, leveraging Temporal, Cadence, Kubernetes, and cloud-native tech, while collaborating with product, infra, and data teams to deliver reliable workflow infrastructure.