Job
Description
Experience: 8+ years Location : Knowledge City, Hyderabad Work Model: Hybrid Regular work hours No. of rounds: 1 internal technical round & client 2 rounds About You The GCP CloudOps Engineer is accountable for a continuous, repeatable, secure, and automated deployment, integration, and test solutions utilizing Infrastructure as Code (IaC) and DevSecOps techniques. 8+ years of hands-on experience in infrastructure design, implementation, and delivery 3+ years of hands-on experience with monitoring tools (Datadog, New Relic, or Splunk) 4+ years of hands-on experience with Container orchestration services, including Docker or Kubernetes, GKE. Experience with working across time zones and with different cultures. 5+ years of hands-on experience in Cloud technologies GCP is preferred. Maintain an outstanding level of documentation, including principles, standards, practices, and project plans. Having experience building a data warehouse using Databricks is a huge plus. Hands-on experience with IaC patterns and practices and related automation tools such as Terraform, Jenkins, Spinnaker, CircleCI, etc., built automation and tools using Python, Go, Java, or Ruby. Deep knowledge of CICD processes, tools, and platforms like GitHub workflows and Azure DevOps. Proactive collaborator and can work in cross-team initiatives with excellent written and verbal communication skills. Experience with automating long-term solutions to problems rather than applying a quick fix. Extensive knowledge of improving platform observability and implementing optimizations to monitoring and alerting tools. Experience measuring and modeling cost and performance metrics of cloud services and establishing a vision backed by data. Develop tools and CI/CD framework to make it easier for teams to build, configure, and deploy applications Contribute to Cloud strategy discussions and decisions on overall Cloud design and best approach for implementing Cloud solutions Follow and Develop standards and procedures for all aspects of a Digital Platform in the Cloud Identify system enhancements and automation opportunities for installing/maintaining digital platforms Adhere to best practices on Incident, Problem, and Change management Implementing automated procedures to handle issues and alerts proactively Experience with debugging applications and a deep understanding of deployment architectures. Pluses Databricks Experience with the Multicloud environment (GCP, AWS, Azure), GCP is the preferred cloud provider. Experience with GitHub and GitHub Actions Skills: devops,platform observability,splunk,google cloud,cloud technologies (gcp),multicloud (gcp, aws, azure),go,google cloud platform,container orchestration (docker, kubernetes, gke),ruby,multicloud environments (gcp, aws, azure),azure devops,spinnaker,ci/cd,data warehouse (databricks),programming languages (python, go, java, ruby),devsecops,gcp,docker,documentation,infrastructure as code (iac),kubernetes,gke,multi-cloud environments (gcp, aws, azure),cloud,cloud technologies,cicd processes (github workflows, azure devops),github workflows,container orchestration,monitoring tools,github,infrastructure design,ci/cd processes (github workflows, azure devops),mongodb,ci,circleci,aws,multicloud environment (gcp, aws, azure),cicd processes,python,cost and performance metrics,cicd,cd,monitoring tools (datadog, new relic, splunk),jenkins,datadog,automation,cost and performance metrics analysis,terraform,java,data warehousing (databricks),new relic,azure,automation tools (terraform, jenkins, spinnaker, circleci),github actions,iac,programming (python, go, java, ruby),databricks Show more Show less
