Senior Staff Software Engineer – Compute Engineering

What you'll do

• Design and evolve scheduler and resource-management systems, capacity models, and placement decisions.
• Establish performance and scale testing; apply AI and ML to forecasting, anomaly detection, and placement optimization where effective.
• Own production reliability and incident response, guide technical decisions, and mentor engineers.

What they ask for

• Deep experience designing multi-tenant, cloud-native SaaS at enterprise scale, including distributed systems, large-scale data systems, APIs, and microservices.
• Experience designing or operating large-scale schedulers or resource managers; strong programming skills in Go, Python, or Java.
• Hands-on experience applying ML in production; experience with capacity planning, performance engineering, or load testing at scale.
• Experience with infrastructure as code and configuration management; cloud infrastructure across private and public clouds.

Nice to have

• Experience with ML-driven scheduling, forecasting, or capacity optimization.
• Working knowledge of internet protocols such as DNS, NTP, and HTTP; experience with release management and large-scale server infrastructure.

Pay

$190,900 - $334,100 USD base salary

Tools

Go, Python, Java, Kubernetes, Slurm, Terraform, Ansible, Azure, AWS, GCP

AI focus

Apply AI and ML to forecasting, anomaly detection, and placement optimization; hands-on production ML experience is required.