Senior Site Reliability Engineer

We are now looking for a Site Reliability Engineer (SRE):Site Reliability Engineering 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.NVIDIA is looking for a Site Reliability Engineer (SRE) to join its GeForce Now (GFN) team. SRE at NVIDIA ensures that our internal and external facing GPU cloud gaming services have 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 and dynamic day-to-day work. The person in this position will be responsible for Service Response and Workflows and will drive tools/service development to maintain and improve service SLOs. We partner with Service Owners to drive reliability of the service. The GFN Service is an exciting service in the newly growing game streaming industry. This is a rare opportunity to work on multi-OSes, multi-cloud platforms, and proprietary hardware with Nvidia GPUs.What you will be doing:Working on building tools to improve the SRE Observability.Rapidly debug and triage incidents and user-reported issuesMake valuable contribution to the overall health, performance, and reliability of GFN and Infrastructure Services.Taking ownership of automating, scripting, and tooling of new/existing scripts to help the team achieve 100% automation of daily tasksSupport 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 balanced incident response and blameless postmortems.Be part of an on call rotation to support production systemsWhat we need to see:MS or BS in Computer Science/Engineering or a related field or equivalent experience.5+ year’s Site reliability engineering experience working on large scale distributed micro services in a  production environment with a real passion for automation and tooling.Very strong Kubernetes background and ability to understand Kubernetes with complex and highly available VMI setup on K8's.Strong understanding of Kubernetes networking setup, OVN setup/ service mesh and K8 network troubleshooting skills.SRE mindset and who can understand Error budgeting, SLO’s, SLA’s and SRE KPI’s well.Clear SRE Observability understanding and experience in building new tools and automation using Python/GO.Clear understanding on Incident management, change management and problem management process. Ability to detection of all service-impacting issues, accurate triage, partner communication, impact containment, service restoration, and post-incident follow-up.Proven strengths in problem-solving and root causing issues, while continuously seeking ways to drive optimization, efficiency and the bottom line.Experience with monitoring and/or automation platforms crafting alerts and building serviceExcellent communication, presentation, social, and analytical skills; the ability to communicate complex interaction concepts clearly and persuasively across different audiences and varying levels of the organisation.Ways to stand out from the crowd:Previous experience with Datadog, Prometheus, alert manager or similar monitoring systems.Excellent scripting: Python, GO  as well any experience with frontend UI development.Able to write highly complex SQL queries or previous experience on kratos explorer and setting up SLO's.Experience with Kibana, Grafana, Elastic Search, and Watchers is a plus and experience with Stack Storm and GitLab CICD is additional advantage.Any previous experience on data analytics or working on complex data enrichment pipelines. NVIDIA is widely considered to be one of the technology world’s most desirable employers. 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