NVIDIA is seeking a passionate, motivated and technical Kubernetes Architect/Engineer to join its multifaceted and fast-paced Infrastructure, Planning and Processes organization where you will be working as a Principal DevOps & SRE Engineer to support the design and implementation of Kubernetes solutions for the company's Cloud Platform.
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, Robotics and Autonomous cars to cater to their infrastructure & system's needs.
What you’ll be doing:
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Architect, design, implement & maintain Kubernetes environments from planning to production/deployment to support CI/CD pipeline for Gitlab & Jenkins.
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Design solutions with service discovery, networking, monitoring, logging, scheduling in Kubernetes.
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Play a critical role in ensuring that our platform is easy to use, reliable, scalable and resistant to disruptions.
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You will ensure that the platform enables developers to deliver value while exceeding customer needs for stability and security.
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Actively participate in product workshops, roadmap and design sessions. Lead technical demos, whiteboards and working sessions.
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Defend the proposed architectural design in front of the DevSecOps review board (security, networking, infrastructure, dev, ops).
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Develop automations to improve efficiency & productivity. Participating in on-call support and critical issue coverage as a SRE engineer.
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Take part in prototyping, crafting and developing cloud infrastructure for Nvidia.
What we need to see:
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Kubernetes domain expertise with extensive experience building scalable, resilient platforms in both public and private cloud capable of providing platform engineering / architecture standard methodologies (including experience with architecting and implementing the overall platform, orchestration, security, and monitoring ecosystem)
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High proficiency in administering and configuring Kubernetes.
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Programming background in python and/or similar scripting languages.
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Experience of maintaining cloud infrastructure and highly available production environment.
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Demonstrating the ability to automate processes using Continuous Integration /Continuous Delivery (CI/CD) tools. Proficient in using Configuration as Code, infrastructure-as-code tools such as ansible, puppet, chef & terraform. Strong background with Gitlab, Jenkins and/or other CI/CD systems & Artifactory.
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Experience in Databases both SQL (MySQL) and NoSQL (Elastic Search /MongoDB/Cassandra).
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Experienced with customer management/onboarding, data analytics/visualization & monitoring tools like Kibana, Grafana, Splunk, Zabbix, Prometheus and/or similar systems etc.
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8+ years of proven experience
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Bachelor’s or Master’s degree in computer science, Software Engineering, or equivalent experience.
Ways to stand out from the crowd:
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Solid understanding of containerization and microservices architecture. Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS) & Certified Kubernetes Application Developer (CKAD) preferred.
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Thrives in a multi-tasking environment with constantly evolving priorities.
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Ability to analyze complex problems into simple sub problems and then reuse available solutions to implement most of those. Ability to design simple systems that can work efficiently without needing much support.
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Prior experience with large scale operations team. Experience with using and improving data centers. Background with computer algorithms and ability to choose the best possible algorithms to meet the scaling challenge.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
The base salary range is 164,000 USD - 327,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
