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Nvidia Senior Engineer - Devops 
India, Maharashtra, Pune 
761157463

24.06.2024

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