Distributed Systems Engineer

About the role

We are seeking a Platform Engineer to help us develop and optimize our ultrafast AI inference platform. The ideal candidate will have experience working with large distributed systems, Kubernetes, and a statically typed language like Go or Rust.

Responsibilities

• Work on low-level systems development, including container runtimes, OCI image formats, and lazy-loading large files from content addressable storage
• Efficiently pack thousands of workloads into GPUs across multiple clouds
• Collaborate closely with customers and contribute to the development of cutting-edge technologies like GPU checkpoint restore and CRIU
• Write and maintain backend services primarily in Go, with some Python

Requirements

• 3-5 years of experience working with a large distributed system
• Comfortable with Kubernetes
• Familiarity with gRPC, Helm/Kustomize, and Terraform
• Enthusiasm for developer tools, cloud native technologies, and open source software

Qualifications

• Experience writing a statically typed language, such as Golang or Rust
• Intensely curious and passionate about technology
• Hardworking and eager to contribute to a fast-growing pre-series A company

Skills

• Experience with containerization and orchestration
• Knowledge of cloud-native technologies
• Strong problem-solving skills
• Ability to work independently and collaboratively

Benefits

• Competitive salary and meaningful equity
• Health, dental, and vision benefits with 90% coverage for you and 50% for dependents
• Opportunities to participate in events across the cloud native community
• Fitness stipend, learning budget, and much, much more

Pay

$160K - $200K

Schedule

0.25% - 1.00%