Software Engineer, Infrastructure
Anyscale · San Francisco
CHECKED 3H AGO
Infrastructureremote$200k–$240k
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