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.
