Senior DevOps Engineer
NVIDIA
We are seeking a Senior DevOps Engineer to join our Farm team to improve its growing services infrastructure. You will be working with a team of passionate and skilled engineers who are continuously working to provide better tools to build and manage our infrastructure. Our team is a mix of varying levels of experienc e. 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:
+ Own the services you build working with cross functional teams
+ Comfortable with frequent code testing and deployment
+ Continuously improve infrastructure provisioning and management using automation
+ Identify areas to improve service resiliency through industry standard practices
+ Support a globally distributed, On-Prem environment (LSF)
+ Determine root-cause for production level incidents and write corresponding high-quality RCA reports
+ Ensure the highest level of up-time and Quality of Service (QoS) to internal customers through operational excellence
+ Participate in team's on-call rotation
What we need to see:
+ B.S. degree in Computer Science or related technical field or equivalent experience
+ 8 + years coding/scripting in at least two high level programming languages - Python, Perl, Go, Ruby, Groovy etc.
+ Build and maintain scalable web applications using modern front-end frameworks, back-end technologies, databases, APIs, and cloud platforms.
+ Good Knowledge in operating services including web servers, load balancers, relational/non-relational databases, messaging systems and storage solutions
+ Deep understanding of linux operation system and TCP/IP fundamental .
+ Knowledge in high-performance computing environments, including job schedulers (e.g., Slurm, PBS, or Grid Engine), parallel computing, and performance tuning.
+ Expertise with at least one major cloud service provider- AWS, GCP, Azure
+ Proficient in implementing and managing monitoring tools like Grafana and Prometheus, ensuring system performance, reliability, and real-time data visualization.
+ Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC)
+ Detail oriented with great communication and documentation skills
Ways to stand out from the crowd:
+ Develop, fine-tune, and deploy advanced LLM-based solutions for [specific applications, e.g., NLP, chatbots, content generation, or data analysis
+ Linux certification from a well known vendor - RedHat, Oracle etc.
+ Prior experience managing large scale Kubernetes deployment in production
+ Strong skills in modern container networking and storage architecture
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