Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline to design, build and maintain large scale production systems with high efficiency and availability using the combination of software and systems engineering practices. This is a highly specialized field which demand knowledge across different systems, networking, coding, database, capacity management, continuous delivery and deployment and open source cloud enabling technologies like Kubernetes and OpenStack.SRE at NVIDIA ensures that our internal and external facing GPU cloud services run maximum reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance. SRE is also an attitude and a set of engineering approaches to running better production systems and optimizations. Much of our software development focuses on eliminating manual work through automation, performance tuning and growing efficiency of production systems. As SREs are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to tackle a broad spectrum of problems. Practices such as limiting time spent on reactive operational work, blameless postmortems and proactive identification of potential outages' factor into iterative improvement that is key to both product quality and exciting dynamic day-to-day work. SRE's culture of diversity, intellectual curiosity, problem solving and openness is important to our success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow.What you'll be doing:Design, implement and support large scale, globally replicated Applications with monitoring, logging and alertingDesign, Manage and Performance optimization of large scale Database SystemsEngage in and improve the whole lifecycle of services—from inception and design, through deployment, operation and refinement.Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity management and launch reviews.Maintain services once they are live by measuring and monitoring availability, latency and overall system health.Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.Practice sustainable incident response and blameless postmortems.Be part of an on call rotation to support production systemsExperience with AWS and other cloud service providersAutomation using TerraformWhat we need to see:BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience8+ years of experience with Infrastructure automation, distributed systems design, experience with design, develop tools for running large scale private or public cloud system in ProductionExperience with algorithms, data structures, complexity analysis and software design.Experience in one or more of the following: C, C++, Java, Python, Go, Perl or RubyWays to stand out from the crowd:Interest in crafting, analyzing and fixing large-scale distributed systems.Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.Ability to debug and optimize code and automate routine tasks.Experience in running large scale application on top of cloud platformsNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.The base salary range is $176,000 - $333,500. 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 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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