We are looking for a Senior DevOps Engineer to join our Data and Application Services team to improve its growing services infrastructure. At the core of our application services platform is our multi-tenant Kubernetes platform that is designed to run a variety of inhouse application services. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this infrastructure. Our team is a mix of varying levels of experience and CS backgrounds. We need a motivated, hardworking and focused individual who has a real passion for operational excellence, data systems, and automation.
What you'll be doing:
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Own the services you build working with cross functional teams
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Comfortable with frequent code testing and deployment
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Continuously improve infrastructure provisioning and management using automation
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Identify areas to improve service resiliency through industry standard practices
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Support a globally distributed, multi-cloud hybrid environment - AWS, GCP and On-prem
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Determine root-cause for production level incidents and write corresponding high-quality RCA reports
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Ensure the highest level of up-time and Quality of Service (QoS) to internal customers through operational excellence
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Define service level objectives (SLOs) and service level indicators (SLIs) to represent and measure service quality
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Participate in team's on-call rotation
What we need to see:
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5+ years in operating services including web servers, load balancers, relational/non-relational databases, messaging systems and storage solutions
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3+ years coding/scripting in at least two high level programming languages - Python, Go, Ruby, Groovy etc.
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Deep understanding of linux operation system and TCP/IP fundamentals
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Expertise with at least one major cloud service provider- AWS, GCP, Azure
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Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC)
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Hands on experience running production quality observability stacks
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Creative problem solver with excellent debugging skills
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B.S. degree in Computer Science or related technical field (or equivalent experience)
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Detail oriented with great communication and documentation skills
Ways to stand out from the crowd:
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Linux certification from a well known vendor - RedHat, Oracle etc.
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Prior experience managing large scale Kubernetes deployment in production
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Strong skills in modern container networking and storage architecture
Top Skills
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.”
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