Senior Software Engineer – Compute Engineering

What you'll do

• Develop infrastructure automation, scheduler and resource-management components, and tools for capacity data collection and forecasting.
• Write performance and load tests; detect scheduling regressions and improve compute efficiency and reliability.
• Collaborate across engineering teams, participate in design reviews and on-call rotations, and use AI tools while exploring ML for capacity or placement decisions.

What they ask for

• 5+ years of related experience with a Bachelor's degree; or 3+ years with a Master's degree; or a PhD with relevant research or industry experience; or equivalent experience.
• Strong programming skills in Python, Go, or Java, and experience with related languages.
• Experience maintaining Linux-based systems using infrastructure-as-code and configuration management tools, such as Terraform and Ansible.
• Experience with private and public cloud infrastructure, plus working knowledge of IP networking, storage, load balancers, and DNS, NTP, and HTTP.

Nice to have

• Experience with capacity planning, performance testing, or load testing.
• Experience with Kubernetes, Slurm, large-scale schedulers, ML-driven optimization, or large-scale server infrastructure.

Pay

$143,200 - $243,400 USD base pay

Tools

Python, Go, Java, Linux, Terraform, Ansible, Azure, AWS

AI focus

Use AI tools to speed development and analysis; explore ML for capacity forecasting and placement decisions; integrate AI into work processes, decision-making, or problem-solving.