Senior DevOps Engineer

NVIDIA•Santa Clara, CA

About The Position

NVIDIA is seeking a Senior DevOps Engineer to join its IPP (Infrastructure, Planning and Process) organization. IPP is a core software infrastructure group responsible for catering to the infrastructure needs of various NVIDIA Software teams, including Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, and Driverless Cars. The cloud services managed by this group execute nearly half a million automated jobs daily on thousands of servers, significantly boosting the productivity of thousands of NVIDIA's software engineers globally. This infrastructure supports a diverse range of machines and devices, operating systems (Windows/Linux/Android), and hardware platforms, including NVIDIA GPUs and Tegra Processors. The ideal candidate is passionate about distributed infrastructure, eager to tackle complex, critical issues, and ready to design and build next-generation cloud services, implement creative solutions, and analyze data to identify and resolve problems. NVIDIA is a leader in Artificial Intelligence, High-Performance Computing, and Visualization, with its GPU invention at the core of its products and services, driving advancements from AI to autonomous cars. The company is looking for creative and passionate individuals to accelerate the next wave of artificial intelligence and develop cloud services.

Requirements

Bachelor's or Master’s degree in Computer Science, Software Engineering, or equivalent experience.
8+ years of experience as a DevOps Expert designing, implementing & managing sophisticated software systems supporting DevOps platforms and pipelines.
Hands-on experience with containerization - Kubernetes, dockers & virtualization.
Solid automation skills and the ability to drive initiatives to automate processes.
Excellent knowledge of infrastructure automation tools (Ansible, Chef, Puppet) & CI/CD tools like Jenkins, etc.
Experienced in data pipelines setup via Kafka, Filebeat and visualization using tools like Elastic search, Grafana, Kibana, Tableau
Working Knowledge of Devops monitoring systems such as Zabbix, Prometheus and/or similar systems.
Fluency in using MySQL or equivalent NoSQL databases queries
Working Experience with Perforce, GIT or any other version control system is necessary.
Exposure to CSPs like, AWS, Azure, GCP & Managed Services

Nice To Haves

Excellent communication and interpersonal skills, with the ability to collaborate effectively with multi-functional teams and partners.
Flexibility to work in shifts and Weekends in the hour of need
Experience in Building regression detection systems by analyzing real-time production data, emphasizing important metrics.
Knowledge of Agile principles and practices and the ability to transfer that understanding at all levels of the organization.
Innovating with industry-standard tools and collaborating with the open source community
Ability to self-manage, show leadership, mentor others and communicate well.

Responsibilities

Architecting, implementing, and supporting end-to-end CI/CD system using open-source and NVIDIA proprietary software.
Create resilient, scalable, and efficient Build and deployment pipelines.
Design and implement complex automation platforms to identify & resolve operational inefficiencies.
Triaging software, hardware and infrastructure issues and maintaining high availability for our infrastructure & services.
Deploying & Monitoring critical high performance, large scale services running on Geo-distributed systems.
Continuously Strive for efficient utilization & management of the infrastructure.
Driving automation to monitor and gain more insight into applications and system health.
Work with architects and engineers across the teams to review the designs & solutions during development and deployment phases.
Collaborate with our other engineering teams to deliver reliable, robust, and high-performance capability of the underlying infra.
Mine & analyse data from multiple sources for identifying scaling & optimization opportunities