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← Anyscale

Site Reliability Engineer, Platform Infrastructure (Foundations)

Anyscale · San Francisco

CHECKED 3H AGO

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

At a glance

Highlights

  • Build scalable backbone powering next-gen distributed AI applications.
  • Design intelligent scheduling for heterogeneous compute clusters.
  • Optimize large-scale control plane for distributed AI/ML workloads.

What they offer

  • Equity

Ideal candidate

Reliability-driven infrastructure builder who loves designing scalable systems and tackling complex distributed challenges in collaboration with customers and 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 highly available, scalable distributed systems
  • Expertise in cloud-native technologies and Kubernetes-based deployments
  • Deep understanding of networking, security and authentication in cloud environments
  • Familiarity with observability stacks such as Prometheus and Grafana
  • Proficiency in Go and Python
  • Knowledge of low-level Linux foundations including kernel, filesystems and 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 ↗