Nvidia Senior Engineer - Devops 

India, Maharashtra, Pune 

761157463

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 Jenkins instances - tools, plugins, nodes, user management, back up, restore, monitoring, etc. Design and develop tools needed for automating maintenance of 10000+ hosts with only 10 support engineers.

• 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

• 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 withanalytics/visualizationtools like Kibana, Grafana, Splunk etc. and experience with monitoring systems such as Zabbix and/or Nagios is nice to have

• 12+ 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 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

• Ability to design simple systems that can work reliably without needing much support