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:
Data bricks and MongoDB
Experience with the Multicloud environment (GCP, AWS, Azure), GCP is the preferred cloud provider.
Experience with GitHub and GitHub Actions
Keyskills: GCP Google Cloud Services MongoDB Databricks Datadog Azure Cloud New Relic AWS Gcp Cloud