NVIDIA
DistinguishedSiteReliabilityEngineer
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“Distinguished Site Reliability Engineer at NVIDIA. Skills: Site Reliability Engineering (SRE), large scale production systems, high efficiency and availability, software and systems engineering practices, Kubernetes, OpenStack, GPU cloud services, automation, performance tuning, incident response, blameless postmortems. design, build and maintain large scale production systems with high efficiency and availability. ensures that our internal and external facing GPU cloud services run maximum reli”
What You'll Achieve.
high efficiency and availability; maximum reliability and uptime; improve reliability and velocity
Industry & Context.
problem solving; Systematic problem-solving approach
on call rotation to support production systems
What They're Looking For.
Must Have
Infrastructure automation, distributed systems design, design, develop tools for running large scale private or public cloud system in Production, Python, Go, Perl, Ruby, Linux, Networking, Containers
Nice to Have
Interest in crafting, analyzing and fixing large-scale distributed systems, Systematic problem-solving approach, communication skills, sense of ownership and drive, Ability to debug and optimize code and automate routine tasks, Experience in using or running large private and public cloud systems based on Kubernetes, OpenStack and Docker
What You'll Do.
build and maintain large scale production systems with high efficiency and availability
ensures that our internal and external facing GPU cloud services run maximum reliability and uptime
enabling developers to make changes to the existing system through careful preparation and planning
keeping an eye on capacity
latency and performance
eliminating manual work through automation
performance tuning and growing efficiency of production systems
tackle a broad spectrum of problems
limiting time spent on reactive operational work
blameless postmortems
proactive identification of potential outages
iterative improvement
implement and support operational and reliability aspects of large scale Kubernetes clusters with focus on performance at scale
Engage 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 tools
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
How You'll Work.
Team & Collaboration
collaborate; work on meaningful projects; build an environment that provides the support and mentorship needed to learn and grow
Communication Scope
communication skills
Full Job Description
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 discipline 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 a mindset 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 interesting 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:** * Le
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