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What you'll be doing:
The person will be part of the NVIDIA AIR team that is building the SaaS/IaaS platform for digital twin of AI data centers.
The responsibility specifically is for infrastructure and Site Reliability Engineering (SRE) requirements for AIR.
Focus on efficiency by automating repetitive workflows.
Working on microservices based architecture.
Deploying and troubleshooting non-disruptive cloud operations with an emphasis on secure production infrastructure.
Continuous evaluation of existing system and driving improvements.
Managing deployment/upgrade for Operating Systems, Kubernetes(k8s) clusters and/or or other orchestration tools.
Day to day support for engineering activities with CI/CD tools like git, Jenkins.
Efficiently multi-tasking on the different tracks to efficiently address evolving priorities .
What we need to see:
BSc in Engineering/ Relevant Certifications/ equivalent experience.
5+ years of experience in complex microservices basedarchitectures
Proven experiencein best practices and discipline of managing and monitoring a highly available and secure production infrastructure
Experienced with latest Observabilty tools, Prometheous stack, Data Dog, etc
Experienced with modern deployment architecture for non-disruptive cloud operations including blue green and canary rollouts
Highly skilled in Kubernetes and Docker
Experience in IaaS environment - deploying, configuring, and administering Linux-based bare metal servers
Experience with relational databases(MySQL) and SQL.
Expert in AWS
Ways to stand out from the crowd:
Skills in Linux/Unix Administration
Experience with Prometheus/Grafana.
Experience with APM tools like Dynatrace, Datadog, AppDynamics, New Relic, etc.
Implemented robust metrics collection and alerting
These jobs might be a good fit