Senior Software Engineer, Orchestration Platform
Scale AI · San Francisco, CA; New York, NY · San Francisco, CA
CHECKED 13H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Build core orchestration powering Scale's data and evaluation pipelines.
- Design durable workflow primitives used across the entire company.
- Improve reliability of systems behind critical customer-facing workflows.
What they offer
- Base salary, equity and benefits package
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
Ideal candidate
Seasoned backend engineer passionate about distributed systems, reliability, and platform leverage. Thrives leading complex projects and enabling fellow engineers with intuitive, scalable infrastructure.
Requirements
- 5+ years full-time software engineering experience focused on backend, infrastructure and distributed systems
- Experience building and operating production systems with strong reliability, availability and scale requirements
- Deep familiarity with workflow orchestration platforms such as Temporal, Cadence or AWS Step Functions
- Deep familiarity with Kubernetes and containerized production environments, plus Terraform and Docker
- Strong knowledge of distributed-systems concepts including async execution, retries, idempotency and fault tolerance
- Track record leading technically complex projects from design through rollout and operation
- Excellent communication and collaboration skills with platform consumers and stakeholders
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta