Senior Member of Technical Staff, Infrastructure

About the role

Join the engineering team at an AI/ML research company to build and scale infrastructure for research workloads. You will own cloud compute, distributed systems, storage, and experiment orchestration, improving reliability, performance, and resource efficiency.

Key responsibilities

• Build and manage cloud compute infrastructure that supports research workloads at scale.
• Design and optimise distributed workflow scheduling for performance and cost efficiency.
• Develop recovery safeguards for worker interruptions, application crashes, and partial results while preventing duplicate work.
• Improve monitoring, logging, and diagnostic tools to help identify and resolve system failures.
• Partner with researchers and engineers to develop capabilities and shape infrastructure architecture.

Required profile

• 5 to 10+ years of experience operating production infrastructure or services.
• Strong Python and Linux skills, including scripting, process management, and debugging.
• Experience with AWS or another major cloud platform, covering compute, storage, networking, and access management.
• Understanding of distributed systems concepts such as queues, timeouts, retries, and idempotency.
• Experience investigating production issues and balancing reliability, complexity, and cost.

Required skills

• Python
• Linux
• AWS
• Terraform (or similar IaC tools)
• Monitoring platforms (CloudWatch, Prometheus, Grafana)

What we offer

• Competitive compensation and equity.
• Health, dental, and vision coverage.
• Visa sponsorship and relocation support.