Senior Engineer -Cloud DevOps (R-19112)

Key Roles & 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)

Key Skills & Qualifications

• 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.

Preferred Skills & Certifications

• AWS Certified Solutions Architect (Associate or Professional)
• AWS Certified DevOps Engineer (Associate or Professional)
• Google Cloud Professional Cloud Architect or Professional Cloud DevOps Engineer…