Staff Software Engineer Engineer, Model Development Platform

What you'll do

• Design and evolve secure, reliable, scalable platform services, including identity and access control, microservices, and micro-frontends.
• Build deployment, observability, and rollback infrastructure; own significant services and initiatives through production operation.
• Set technical direction, lead design reviews, mentor engineers, and collaborate across teams on the platform roadmap.

What they ask for

• 7+ years designing and building large-scale distributed systems, cloud platforms, or developer platforms, including at senior or staff level.
• Experience designing and operating scalable microservice architectures on a major cloud provider, with API design, data modeling, asynchronous workflows, and distributed-systems fundamentals.
• Hands-on authentication and authorization experience, plus experience driving reliability, defining SLAs/SLOs, and building highly available systems.
• Experience with CI/CD, containerization and orchestration, infrastructure as code, safe release and rollback strategies, and production-quality Python or TypeScript; understanding of React and micro-frontends.

Nice to have

• Experience building developer platforms or ML tools, or familiarity with ML operations.
• Experience with data pipelines, distributed orchestration, large-scale compute, service mesh, API gateways, progressive delivery, sensitive-data compliance, or safety-critical domains.

Pay

$276,100 – $293,750 (base salary)

Tools

OAuth2/OIDC, RBAC, Kubernetes, Python, TypeScript, React, Spark, Ray

AI focus

Builds the platform infrastructure and tooling for the AI model lifecycle, including data and training workflows, experiment scheduling, evaluation, and on-road testing.