Member of Technical Staff [Platform]

Responsibilities: Design, build, and maintain thecore infrastructuresupporting our research and product environments (cloud compute, storage, CI/CD pipelines, observability, security).Develop and manageinternal developer tools, automation systems, and shared librariesthat accelerate productivity across teams. Build reliable systems fordata management, model experimentation, evaluation, and deploymentin both research and production contexts. Define and evolve ourbuild, test, and release workflows, ensuring seamless integration from prototype to production. Implement and monitorobservability and performance metricsacross services and pipelines. Collaborate closely with research and product teams to diagnose bottlenecks, optimize workflows, and ensure reproducibility of results. Contribute toinfrastructure strategy and architecture, helping shape how we scale as the company grows.

Required: Strong software engineering background with experience ininfrastructure, platform, or DevOps engineering .Proficiency withcloud environments(AWS, GCP, or similar), containerization/orchestration(Docker, Kubernetes), andCI/CD systems(GitHub Actions, Terraform, etc.).Experience building and maintainingdeveloper tools, automation frameworks, or internal platforms .Familiarity withdata pipelines , job scheduling, orML experimentation workflows .Excellent problem-solving skills and a track record of improving developer velocity or system reliability. Strong communication skills and ability to collaborate with both research and product engineering teams.

Nice to have: Experience withmachine learning infrastructure, training pipelines, or model evaluation tooling. Background inmonitoring and observability(e.g., Prometheus, Grafana, Datadog).Knowledge ofinfrastructure as codeandconfiguration managementbest practices. Interest in designing systems that supportreproducible, safe, and efficient AI development .Prior experience in anearly-stage startupor small research organization.