Greenhouse ·
full-timeSenior Software Engineer, Orchestration Platform
Scale AI · San Francisco, CA; New York, NY
Scale AI provides infrastructure and technology to help enterprises, governments, and AI labs build, deploy, and evaluate artificial intelligence systems. As a Senior Software Engineer for the Orchestration Platform, you will be responsible for designing and evolving the foundational systems that power the company's complex, long-running workflows. This role involves building durable infrastructure to manage data pipelines, model evaluation, and customer-facing processes. You will lead the architecture and implementation of platform primitives, APIs, and services focused on scheduling, state management, and task execution. The position requires deep expertise in distributed systems and cloud-native technologies such as Kubernetes, Temporal, and Cadence. You will partner with internal product and infrastructure teams to define technical standards and improve the reliability, scalability, and developer experience of the platform. This role is well-suited for an experienced engineer with a strong background in backend infrastructure who enjoys solving complex problems related to fault tolerance, idempotency, and asynchronous execution in a high-growth environment.
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. You will: 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. Ideally, you have: 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. Nices 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. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000 — $270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expa
| Role | Senior Software Engineer, Orchestration Platform |
|---|---|
| Company | Scale AI |
| Location | San Francisco, CA; New York, NY |
| Type | internship |
| Compensation | Not disclosed |
| Posted | 2026-10-01 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Senior Software Engineer, Orchestration Platform at Scale AI: frequently asked questions
- What is the salary for this role?
- Scale AI has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Senior Software Engineer, Orchestration Platform position remote, hybrid or onsite?
- The listing gives San Francisco, CA; New York, NY as the location and does not state a work mode.
- What is the application deadline?
- Scale AI has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Senior Software Engineer, Orchestration Platform role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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