Senior Site Reliability Engineer jobs at Nvidia in India, Dehradun

What you’ll be doing:

• Build, implement and support operational and reliability aspects of large-scale Kubernetes clusters with focus on performance at scale, real time monitoring, logging and alerting

• Define SLOs/SLIs, monitor error budgets, and streamline reporting

• Support services before they launch through system creation 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

• Operate and optimize GPU workloads across AWS, GCP, Azure, OCI, and private clouds

• Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity

• Lead triage and root-cause analysis of high-severity incidents

• Practice balanced incident response and blameless postmortems

• Participate in on-call rotation to support production services

What we need to see:

• BS in Computer Science or related technical field, or equivalent experience

• 10+ years of experience operating production services

• Expert-level knowledge of Kubernetes administration, containerization, and microservices architecture

• Experience with infrastructure automation tools (e.g., Terraform, Ansible, Chef, Puppet)

• Proficiency in at least one high-level programming language (e.g., Python, Go)

• In-depth knowledge of Linux operating systems, networking fundamentals (TCP/IP), and cloud security standards

• Proficient knowledge of SRE principles, encompassing SLOs, SLIs, error budgets, and incident handling

• Experience building and operating comprehensive observability stacks (monitoring, logging, tracing) using tools like OpenTelemetry, Prometheus, Grafana, ELK Stack, Lightstep, Splunk, etc.

Ways to stand out from the crowd:

• Operating GPU-accelerated clusters with KubeVirt in production

• Applying generative-AI techniques to reduce operational toil

• Automating incidents with Shoreline or StackStorm

What you will be doing

• Engage in 24/7 global shift rotations to provide remote support for network repairs and changes while collaborating across teams and updating customers on status and ticket information.

• Drive operational improvements in change management and daily operations by following procedures.

• Manage and operate large scale IP network technologies and infrastructures.

• Utilise your skills in Peering and Datacenter interconnect technologies: PNI, Transit, Exchange, Passive DWDM, Wave circuits.

• Monitor and support the network health of on-premises and cloud infrastructures.

• Collaborate and develop workflow enhancements while documenting best practices.

What we need to see

• Deep knowledge and experience of TCP/IP, BGP, OSPF, MPLS, IS-IS, VxLAN, EVPN, QoS, GRE, IPsec, DNS, and MACsec.

• Over 4 years of experience in network operations.

• Skilled in network troubleshooting techniques and leveraging creative problem-solving abilities.

• Strong track record of alert response within defined SLAs and Incident management.

• Experience with one or more of the following CSP environments: AWS, Azure, GCP, OCI.

• Familiarity with Arista, Fortinet and Juniper.

• Hands-on experience with contributing to tooling and automation for provisioning, monitoring, and managing complex network infrastructures.

• Bachelor’s degree in Computer Science, related technical field, or equivalent experience.

• Excellent verbal and written communication skills.

Ways To Stand Out From The Crowd:

• Working knowledge of Mellanox/Cumulus OS.

• Working knowledge of Infiniband technology.

• Skilled in Unix/Linux system administration, with the ability to write and understand Python/Shell scripts to enhance productivity in hyperscale environments.

• Familiarity with leveraging tools such as Netbox/Nautobot, Prometheus, Grafana, Panoptes to monitor and manage a global network.

• Passionate about innovating and investing in ground breaking technologies.

What you'll be doing:

You will play a crucial role in ensuring the success of the Omniverse on DGX Cloud platform by helping to build our deployment infrastructure processes, creating world-class SRE measurement and creating automation tools to improve efficiency of operations, and maintaining a high standard of perfection in service operability and reliability.

• Design, build, and implement scalable cloud-based systems for PaaS/IaaS.

• Work closely with other teams on new products orfeatures/improvementsof existing products.

• Develop, maintain and improve cloud deployment of our software.

• Participate in the triage & resolution of complex infra-related issues

• Collaborate with developers, QA and Product teams to establish, refine and streamline our software release process, software observability to ensure service operability, reliability, availability.

• Maintain services once live by measuring and monitoring availability, latency, and overall system health using metrics, logs, and traces

• Develop, maintain and improve automation tools that can help improve efficiency of SRE operations

• Practice balanced incident response and blameless postmortems

• Be part of an on-call rotation to support production systems

What we need to see:

• BS or MS in Computer Science or equivalent program from an accredited University/College.

• 8+ years of hands-on software engineering or equivalent experience.

• Demonstrate understanding of cloud design in the areas of virtualization and global infrastructure, distributed systems, and security.

• Expertise in Kubernetes (K8s) & KubeVirt and building RESTful web services.

• Understanding of building AI Agentic solutions preferably Nvidia open source AI solutions. Demonstrate working experiences in SRE principles like metrics emission for observability, monitoring, alerting using logs, traces and metrics

• Hands on experience working with Docker, Containers and Infrastructure as a Code like terraform deployment CI/CD.

• Exhibit knowledge in concepts of working with CSPs, for example: AWS (Fargate, EC2, IAM, ECR, EKS, Route53 etc...), Azure etc.

Ways to stand out from the crowd:

• Expertise in technologies such as Stack-storm, OpenStack, Redhat OpenShift, AI DBs like Milvus.

• A track record of solving complex problems with elegant solutions.

• Prior experience with Go & Python, React.

• Demonstrate delivery of complex projects in previous roles.

• Showcase ability in developing Frontend application with concepts of SSA, RBAC