Senior DevOps Engineer at NVIDIA

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, Docker, Containerd, PaaS, IaaS, Python, Golang, Java, Ansible, Chef, Puppet, Jenkins, SQL, NoSQL, Grafana, Splunk

Industry

Computer Hardware Manufacturing

Description

NVIDIA is looking for an outstanding engineering Architect to join its Software Infrastructure and Operations team. The position will be part of a fast-paced crew that develops and maintains sophisticated Kubernetes based development, compute and test environments for a multitude of platforms including Windows and Linux. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this infrastructure. With your help we would forge the next generation of compute infrastructure multiplying the power of the CPU, GPU and DPU for the age of AI. We need a motivated, hardworking and focused individual who has a real passion for operational excellence, Infrastructure services, and automation. What you’ll be doing: Architect the scaling operation in our data centers. Deploy and Support end-to-end container management solution with Kubernetes, Docker, containerd. Design solutions with service discovery, networking, monitoring, logging, scheduling in Kubernetes. Setup and Manage end to end Compute Infrastructure using PaaS & IaaS services - tools, plugins, nodes, user management, back up, restore, monitoring, etc. Design and develop AI tools needed for automating maintenance of 35000+ hosts with only 12 support engineers. Design and build sophisticated automations and AI powered applications. Use your depth in algorithms and system software background! Work in teams to deploy new data center infrastructure. Plan and implement critical metrics tracking using various data analytics mining methods and dashboards. Reuse AI techniques to extract useful signals about machines and jobs from the data generated! Take part in prototyping, crafting and developing cloud infrastructure for Nvidia. What we need to see: Strong Kubernetes understanding and background especially on-premises setup and extensive experience with Kubernetes components & subsystems. Experience of maintaining large scale cloud/on-prim infrastructure applications using Kubernetes, Slurm and Open Stack Proven programming background in python/Golang/java and/or relevant scripting languages Excellent debugging and analytical skills and experience in Databases both SQL (MySQL ) and NoSQL (Elastic Search /MongoDB) Proficient with configuration management tools like Ansible, Chef, Puppet and strong experience with Jenkins and/or other CI systems. Hands-on experience with VMs, Dockers, Kubernetes Cluster. Experience with analytics/visualization tools like Kibana, Grafana, Splunk etc. and experience with monitoring systems such as Zabbix and/or Nagios is nice to have 10+ years of proven experience Bachelors or Master's Degree or equivalent experience in CS, Software Engineering, or related field. Ways to stand out from the crowd: Previous experience with DevOps/SRE teams Thrives in a multi-tasking environment with constantly evolving priorities and documents work well Outstanding collaboration skills across organizational boundaries, experience with using and improving data centers and with computer algorithms and ability to choose the best possible algorithms to meet the scaling challenge Ability to divide complex problems into simple sub problems and then reuse available solutions to implement most of those Experience with designing simple systems that can work reliably without needing much support NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The role involves architecting scaling operations in data centers and deploying/supporting end-to-end container management solutions using Kubernetes and Docker. Responsibilities also include designing AI tools for automating maintenance across thousands of hosts and prototyping cloud infrastructure for Nvidia.