Site Reliability Engineer, Platform Infrastructure (Foundations)
Anyscale · San Francisco
CHECKED 3H AGO
Infrastructureremote$200k–$240k
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