GCP Cloud Operations Engineer

Job Description

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