Sre Professional

Skill Profile SRE Client Platform7+ years of relevant experience as an SRE/DevOps Engineer Have a background in either Systems Administration or Software Engineering Strong experience with major public Cloud Providers (ideally GCP but this is not a must have) Strong experience with Docker and Kubernetes. Strong experience with IaC (Terraform) Strong understanding of GitOps concepts and tools (ideally Flux) Excellent knowledge of technical architecture and modern design patterns, including micro-services, serverless functions, NoSQL, RESTful APIs, etc. Ability to set up and support CI/CD pipelines and tooling using Gitlab. Proficiency in a high-level programming language such as Python, Ruby or Go Experience with monitoring, log aggregation and alerting tooling (GCP Logging, Prometheus, Grafana). Additional SRE Data Platform:- SRE Data PlatformLinux administration skills and a deep understanding of networking and TCP/IP. Experience with the major cloud providers and Terraform. Knowledge of technical architecture and modern-day design patterns, including micro-services, serverless functions, NoSQL, RESTful APIs, etc. Demonstrable skills in a Configuration Management tool like Ansible. Experience in setting up and supporting CI/CD pipelines and tooling such as GitHub or Gitlab CI Proficiency in a high-level programming language such as Python or Go. Experience with monitoring, log aggregation, and alerting tooling (ELK, Prometheus, Grafana, etc). Experience with Docker and Kubernetes Experience with secret management tools like Hashicorp Vault is deemed a plus Proficient in applying SRE core tenets, including SLI/SLO/SLA measurement, toil elimination, and reliability modeling for optimizing system performance and resilience. Experience with cloud-native tools like Cluster API, service mesh, KEDA, OPA, Kubernetes Operators Experience with big data technologies such as NoSQL/RDBMS(PostgreSQL, Oracle, MongoDB), Redis, Spark, Rabbit, Kafka, etc. Experience in troubleshooting and monitoring large-scale distributed systems