Senior Cloud Reliability Engineer

4 weeks ago

Santa Clara, California, United States NVIDIA Full time

At NVIDIA, we're seeking a highly skilled Senior Cloud Reliability Engineer to join our team. As a key member of our Site Reliability Engineering (SRE) team, you'll be responsible for designing, building, and maintaining large-scale production systems with high efficiency and availability.

This is a highly specialized discipline that demands knowledge across different systems, networking, coding, database, capacity management, continuous delivery, and deployment, as well as open-source cloud-enabling technologies like Kubernetes and OpenStack.

As an SRE at NVIDIA, you'll ensure that our internal and external-facing GPU cloud services run with maximum reliability and uptime, while also enabling developers to make changes to the existing system through careful preparation and planning.

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 an SRE, you'll be responsible for the big picture of how our systems relate to each other, using 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.

We promote self-direction to work on meaningful projects, while also striving to build an environment that provides the support and mentorship needed to learn and grow.

Key Responsibilities:

  • Design, implement, and support operational and reliability aspects of large-scale Kubernetes clusters with a focus on performance at scale, real-time monitoring, logging, and alerting.
  • 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.
  • Be part of an on-call rotation to support production systems.

Requirements:

  • BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.
  • 5+ years of experience with infrastructure automation, distributed systems design, experience with designing, developing tools for running large-scale private or public cloud systems in production.
  • Experience in one or more of the following: Python, Go, Perl, or Ruby.
  • In-depth knowledge of Linux, Networking, and Containers.

What We Offer:

  • A competitive salary range of $132,000 - $310,500 USD, based on location, experience, and pay of employees in similar positions.
  • Eligibility for equity and benefits.
  • A diverse and inclusive work environment.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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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