Senior Site Reliability Engineer

Requirements:

• 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.

Nice to Haves:

• 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.

What you'll be doing:

• Design, build, and implement scalable cloud-based systems for PaaS/IaaS.
• Work closely with other teams on new products or features/improvements of 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.

Perks and Benefits:

• Transformational work in the field of AI and GPUs.
• Opportunity to work with cutting-edge technology.
• Collaborative and supportive work environment.
• Dedication to delivering GPU-powered services globally.