Senior Orchestration Platform Engineer — AI Pipelines

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

Benefits offered by this job

Health insurance

Retirement benefits

Learning stipend

Generous PTO

Commuter stipend

Job summary

Scale is seeking a Senior Software Engineer to advance the Orchestration Platform that powers scalable AI workflows across data pipelines, model evaluations, and customer-facing systems.

You will design primitives, services, and developer experiences to enable teams to author, operate, observe, and safely scale distributed workflows at Scale. This role focuses on reliability, throughput, and platform fidelity across internal teams.

Qualifications

• 5+ years of full-time software engineering experience.
• Experience building and operating production systems with high reliability and scale.
• Deep familiarity with workflow orchestration platforms (Temporal, Cadence, AWS Step Functions, Kubernetes).

Responsibilities

• Lead the architecture, design, implementation, and operation of Scale’s 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 lifecycle management.
• Collaborate with product, infrastructure, data, and application teams to turn workflow needs into reusable platform capabilities.
• Improve 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

Backend development

Distributed systems

Kubernetes

Temporal

Cadence

Tools

Kubernetes

Terraform

Docker

CI/CD

Job description

Scale is seeking a Senior Software Engineer to advance the Orchestration Platform that powers scalable AI workflows across data pipelines, model evaluations, and customer-facing systems.

You will design primitives, services, and developer experiences to enable teams to author, operate, observe, and safely scale distributed workflows at Scale. This role focuses on reliability, throughput, and platform fidelity across internal teams.