Nvidia Senior Software Engineer 

India, Maharashtra, Pune 

127145873

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

• You will be working on challenging problems in area of infrastructure such as job scheduling, resource management and automated recovery.

• 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.

• Develop various device plugins / Operator on Kubernetes

• Build complete solutions including Metrics, Alert and Storage Services

• You want to dig more data, analyze much more, apply deep learning algorithms / machine learn to improve theperformance/predictabilityof the system

What we need to see:

• Strong object-oriented programming background in python/Golang/java and/or relevant scripting languages

• Background in developing large scale cloud infrastructure applications

• Knowledge of various technologies (Kubernetes, Message broker)

• Experience with Relational Databases such as MySQL, NoSQL DBs such as Elastic Search

• Proficient with configuration management tools like Ansible, Chef, Puppet and strong experience with Jenkins and/or other CI systems.

• Ability to collaborate across multiple team and across people working in different time zones.

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

• BS/MS in Computer Science or Computer Engineering or equivalent experience

• 5+ years of proven experience.

Ways to stand out from the crowd:

• Real world experience with distributed systems, containers, and Kubernetes API.

• Previous experience with DevOps teams

• You have worked on computer algorithms and demonstrated ability to choose the best possible algorithms to nail sophisticated problems

• Able to divide sophisticated problems into simple sub problems and then reuse available solutions to implement the solutions.

• Experience in design, implementation and deployment of major infrastructure features across multiple servers in incremental rollout mode