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← Anyscale

Software Engineer, Infrastructure

Anyscale · San Francisco

CHECKED 3H AGO

Infrastructureremote$200k–$240k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build scalable backbone powering distributed AI workloads on Anyscale's platform.
  • Design services orchestrating Ray clusters across cloud and on-prem environments.
  • Build intelligent scheduling and resource management for heterogeneous clusters.

What they offer

  • Competitive salary and equity
  • Health/dental/vision coverage (many plans up to 99% employer-covered)
  • Flexible time off
  • Paid parental leave
  • Mental health support

Ideal candidate

A distributed systems builder passionate about scalable, reliable platforms for demanding AI workloads who loves solving hard infrastructure problems alongside experts.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 3+ years of experience writing high-quality production code
  • Hands-on experience building and maintaining highly available, scalable distributed systems
  • Expertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deployments
  • Deep understanding of networking, security, and authentication in cloud environments
  • Familiarity with observability stacks (Prometheus, Grafana, etc.)
  • Proficiency in Go and Python
  • Knowledge of low-level operating system foundations (Linux kernel, file systems, containers)

Lab profile

About Anyscale

Democratizing distributed computing by commercializing Ray for scalable machine learning and AI.

What they build

  • Ray
  • Ray Data
  • Anyscale Runtime

Known for

  • Distributed computing
  • Scalable machine learning
  • Distributed LLM inference
  • Cloud infrastructure
More about Anyscale →
Apply on the lab’s site ↗