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Software Engineer, Platform Infrastructure (Foundations)

Anyscale · Bengaluru, Karnataka

CHECKED 1H AGO

Infrastructureonsite
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At a glance

Highlights

  • Build scalable backbone powering Anyscale's cloud platform for distributed AI.
  • Orchestrate Ray clusters across cloud and on-prem environments at scale.
  • Design intelligent scheduling for large-scale distributed AI/ML workloads.

Ideal candidate

A builder of large-scale distributed systems who loves reliable cloud infrastructure and thrives collaborating with ML experts to make distributed AI feel as simple as a laptop.

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 Linux kernel, file systems, 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 ↗