Software Engineer, Platform Infrastructure (Foundations)
Anyscale · Bengaluru, Karnataka
CHECKED 1H AGO
Infrastructureonsite
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