Senior DevOps Engineer

NVIDIA•Us, CA

About The Position

NVIDIA is seeking a Senior DevOps Engineer to join its IPP (Infrastructure, Planning and Process) organization, a core software infrastructure group. This team supports various NVIDIA Software divisions, including Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, and Driverless Cars, by providing essential infrastructure. The cloud services managed by IPP execute nearly half a million automated jobs daily across thousands of servers, significantly boosting the productivity of thousands of NVIDIA's software engineers globally. The cloud environment is diverse, featuring a mix of machines and devices with various operating systems (Windows/Linux/Android) and a wide array of hardware platforms, including NVIDIA GPUs and Tegra Processors. The ideal candidate is passionate about distributed infrastructure and eager to tackle complex, critical issues, build next-generation cloud services, design innovative solutions, and analyze data to identify and resolve problems. NVIDIA is a leader in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization, with the GPU at the heart of its products and services, enabling advancements from AI to autonomous cars. The company is looking for creative and passionate individuals to help 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.