CloudOps Engineer - GCP

Department Icon IT / Software Development & Related
Posted: 1 year ago
8-10 years
Hyderabad / Secunderabad, Telangana, Telangana
IT / Software Development & Related
Work from Office
Full Time

Posted: 1 year ago
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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: devsecops,jenkins,cicd processes (github workflows, azure devops),terraform,docker,gke,cloud technologies,azure,automation tools (terraform, jenkins, spinnaker, circleci),go,multicloud environment (gcp, aws, azure),github workflows,ci/cd,datadog,container orchestration,iac,multi-cloud environments (gcp, aws, azure),monitoring tools,devops,data warehouse (databricks),cloud,gcp,cicd,python,mongodb,spinnaker,kubernetes,monitoring tools (datadog, new relic, splunk),ci,infrastructure design,splunk,programming (python, go, java, ruby),new relic,programming languages (python, go, java, ruby),multicloud (gcp, aws, azure),ruby,cloud technologies (gcp),circleci,multicloud environments (gcp, aws, azure),cost and performance metrics,cd,ci/cd processes (github workflows, azure devops),google cloud platform,infrastructure as code (iac),cicd processes,aws,databricks,github actions,platform observability,google cloud,java,azure devops,container orchestration (docker, kubernetes, gke),github,data warehousing (databricks),automation,cost and performance metrics analysis,documentation

Skills

PythonDebuggingDevopsJavaKubernetesCloud

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