Site Reliability Engineer
Job Description:
- 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 self healing/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.
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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.
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