Site Reliability Engineer (Only W2)

Job Description
• This position requires strong experience in semiconductor/SOC integration Framework in native server environments in Nvidia.
• Develop framework and scripts to automate workflows and deployments in the Nvidia private cloud environment.
• Deploy and maintain a large farm of machines using world-class Configuration Management
& Infrastructure Automation (IaaC) tools like Chef, Ansible, Terraform
• Develop extensive monitoring systems to have fast, reliable and real-time pulse of the various infrastructure subsystems (Zabbix, Grafana)
• Participate in on-call & rotational L1 support for round-the-clock monitoring and remediation of the infrastructure.
• Work closely with multi-functional teams across the globe to ensure service uptime and SLAs are maintained.
• Solve complex problems involving multi-site infrastructure scaling, leading GPU product bring-up in infrastructure, integrating GPU test suites to infrastructure harness etc.
• Automation and performance tuning of regression test frameworks, creation of selfhealing/automated recovery solutions for multi-geo regression farms.
• Assist in roll-out and deployment of new development features aimed at supporting the latest Nvidia hardware and technologies.

Skill Requirements:
• Bachelor's or master’s degree in computer science or software engineering, or equivalent demonstrable experience.
• 4+ years of proven experience working in a DevOps/SRE environment.
• Ability to analyze and debug source code to triage, root cause and resolve issues in the infrastructure. Collaborate with the development teams in improving the build and test infrastructure.
• Familiar with maintenance and setup of Linux, Windows hosts and popular open-source applications such as Nginx, Apache HTTP, Apache Tomcat and MySQL server.
• Hands-on scripting experience with any including but not limited to Python (preferred), TCL, JAVA etc. Unix shell proficiency is expected.
• Experience in MySQL should be able to write queries.
• Experience with version control systems like Perforce, GIT is expected.
• Experience with VMs and container virtualization technologies like VMware, KVM, Docker and Kubernetes.
• Background with automating bare metal and VM provisioning.
• Experience with debugging GPU performance issues, embedded device software development and automation, software driver development and CUDA/TensorRT applications.