Cloud Engineer specializing in hybrid-cloud platform design and operation at Dun & Bradstreet. Collaborating closely with team members to enhance developer self-service and automation capabilities.
Responsibilities
Design, engineer, operate, and continuously evolve hybrid cloud platform runtimes across AWS and GCP
Establish and enforce standards for infrastructure provisioning, application deployment, CI/CD pipelines, container images, compute images, and configuration management within the internal developer platform
Design, implement, and maintain Infrastructure as Code using Terraform and Terraform Cloud for Business
Build, optimize, and support enterprise‑grade CI/CD pipelines using tools such as Harness, Jenkins, and GitHub Enterprise
Enable and scale developer self‑service capabilities using platforms such as GitHub Enterprise, JFrog Artifactory, SonarQube, and Backstage
Contribute to the architecture, monitoring, scalability, and lifecycle management of cloud platforms, including Kubernetes runtimes
Drive automation across infrastructure, CI/CD, image lifecycle, and operational processes using Python, Bash, and configuration management tools
Partner closely with application development teams, product owners, cybersecurity, and architecture teams to understand requirements and prioritize platform enhancements
Apply AI‑assisted engineering tools (such as Gemini or equivalent) to improve development velocity, troubleshooting, and platform operations
Operate within Agile delivery frameworks (Jira) and established ITSM processes (ServiceNow)
Requirements
8–12 years of experience in platform engineering, DevOps engineering, or cloud engineering in hybrid‑cloud environments (AWS & GCP).
5–8 years of hands‑on experience supporting hybrid‑cloud environments across AWS and GCP.
Proficiency in designing and deploying large‑scale API Gateway and/or Apigee X solutions.
Strong proficiency with Terraform and Terraform Cloud for Business (TFC/TFCB) for Infrastructure‑as‑Code.
Strong CI/CD expertise using Harness CI/CD and/or Jenkins.
Experience enabling developer self‑service platforms using GitHub Enterprise, Artifactory, SonarQube, and Backstage.
Advanced experience with containerization and runtime platforms (Kubernetes, Docker), including scaling automated or self‑service Kubernetes environments.
Strong automation skills using Python and/or Bash and configuration management tools such as Ansible.
Strong Linux administration and troubleshooting skills across applications, networking, and systems.
Experience integrating with internal development teams and supporting APIs and integration solutions.
Proficiency with AI‑assisted engineering tools (Gemini preferred).
Excellent verbal and written communication skills suitable for collaboration and presenting to leadership.
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