Platform Software Engineer – AI Compute & Kubernetes

ClearCompany Talent Management Software; Seattle (WA); Hybrid; USD 147,000 - 183,000; Full time

Job summary

Allen Institute in Seattle is seeking a Platform Software Engineer to own the AI compute platform within the Office of the CTO. You will manage the control plane, operators, and user experience over multi-cloud Kubernetes GPU infrastructure for scientific AI workloads.

Reporting to the Director of AI Infrastructure, you will set the production bar, collaborate across scientists, engineers and vendor teams, and help scale toolkits for agentic science and AI-augmented research.

Qualifications

• Bachelor’s Degree in Computer Science, or related technical field; or equivalent combination of degree and experience.
• Minimum of 3 years of experience building ML infrastructure (compute and storage).
• Strong software engineering in Go, with Kubernetes operators or controllers shipped to production.

Responsibilities

• Own the control plane surface scientists and admins touch daily (API, web UI, and CLI).
• Own Kubernetes-native platform software - operators, CRDs, and controllers for tenancy, storage, and job lifecycle across large workloads and interactive compute.
• Telemetry as a product: provide data for understanding capacity, utilization and improvement opportunities.
• Ship with production discipline - CI/CD, automated testing, code review, and quality standards - and hold that bar for work delivered by partner and vendor teams.
• Own security and compliance of what you build.
• Work across the AWS and GCP services the platform composes (eg EKS, GKE, FSx, S3, and GCS).
• Implement experiences for the whole Institute for cutting-edge AI methods - learn emerging practices and build or scale toolkits for agentic science, data access, and AI-augmented research.
• Collaborate with Allen Institute and vendor teams spanning scientists, engineers, and service.

Skills

Go

Kubernetes

ML infrastructure

Education

Bachelor’s Degree in Computer Science, or related technical field

Tools

Prometheus

Logging pipelines

Job description

Allen Institute in Seattle is seeking a Platform Software Engineer to own the AI compute platform within the Office of the CTO. You will manage the control plane, operators, and user experience over multi-cloud Kubernetes GPU infrastructure for scientific AI workloads.

Reporting to the Director of AI Infrastructure, you will set the production bar, collaborate across scientists, engineers and vendor teams, and help scale toolkits for agentic science and AI-augmented research.