Senior DevOps Engineer

at  NVIDIA

NVIDIA is looking for a world class engineer to join its multifaceted and fast-paced Infrastructure, Planning and Processes organization where you will be working as a Senior DevOps Engineer. The position will be part of a fast-paced crew that develops and maintains sophisticated build & test environments for a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors along with various operating systems (Windows/Linux/Android). The team works with various other business units within NVIDIA Software such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure & system’s needs.
As a DevOps Engineer, you’ll also be working in conjunction with various teams such as software engineering to deploy these new products and manage our infrastructure, associated processes and systems. Keen attention to detail, problem-solving abilities, and a solid knowledge base are essential.

WHAT WE NEED TO SEE:

• Strong object-oriented programming background, Java, Python preferred.
• Experience of maintaining cloud infrastructure and highly-available production environment and excellent debugging, problem solving and analytical skills
• Strong understanding of architectural requirements and development processes involved in building reliable, robust, scalable data products and pipelines
• Background in Databases both SQL (MySQL) and NoSQL (Elastic Search /MongoDB/Cassandra) and proficient with configuration management tools like Ansible, Puppet & Chef and strong background with CI/CD systems.
• Experience in Kubernetes, dockers & virtualization and data analytics/visualization tools like Kibana, Grafana, Splunk etc.
• Background with source code management and binary repository systems like GitLab, GitHub, Artifactory etc.
• Knowledge of monitoring systems such as Zabbix, Prometheus and/or similar systems and advanced knowledge of standard methodologies related to security.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering (or equivalent experience) with 5+ years of proven industry experience.

• Participate in the design, implementation and enhancement of automated SW testing infrastructures for the automotive & mobile Tegra platforms, bring up tasks for new Tegra platforms.
• Enhance and develop new modules for harness in python and shell scripts.
• Develop, Improve and Maintain our infrastructure codebase. Implement & support end-to-end CI/CD system
• Drive automation of monitoring to gain more insight into applications and system health.
• Working with software engineering teams as well as internal support groups world-wide to ensure that our software is produced, tested and delivered to the customer in a consistent and effective manner that meets our world-class standards
• Develop and implement modules/pipelines to streamline onboarding/maintenance of Nvidia tegra/gpu devices in k8 based Nvidia validation systems/queues.
• Debug & fix existing and new tests, system configurations and hardware setup of Tegra’s.
• Maintain systems once they are live by measuring and monitoring availability, latency and overall system health.