SRE & DevOps (Ray.io)

Bengaluru, KA

Required Skills:

Demonstrated ability in designing, building, refactoring and releasing software written in Python, C++.

Hands-on experience with Ray.io, including workload management, cluster deployment, distributed task scheduling, and troubleshooting.

Ability to use Ray Dashboard and CLI tools for monitoring, resource tracking, debugging distributed jobs, and resolving production issues.

Having knowledge of Ray ecosystem libraries such as Ray Train, Ray Tune, Ray Serve, and Ray Data is a big plus.

Experience integrating Ray with tools such as Airflow, MLflow, Dask, DeepSpeed is a big plus.

Debugging and triaging skills.

Cloud technologies like Kubernetes, Docker and Linux fundamentals.

Familiar with DevOps practices and continuous testing. DevOps pipeline and automations: app deployment/configuration & performance monitoring.

Test automations, Jenkins CI/CD.

Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams.

Well organized and able to manage multiple projects in a fast paced and demanding environment.

Good oral/reading/writing English ability.

SRE & DevOps (Ray.io)