Senior Cloud DevOps Engineer

• • Design, build, and maintain infrastructure as code using Terraform and/or AWS CloudFormation
  • Develop and support Jenkins shared libraries, pipeline templates, and reusable deployment patterns
  • Support the migration of legacy pipelines to standardized CI/CD approaches with clear documentation and best practices
  • Integrate automated security, quality, and compliance checks into CI/CD pipelines and improve observability using tools such as Open Telemetry
  • Build and support Python-based tooling, packages, and automation to enhance platform capabilities and developer experience
  • Collaborate with application teams to design CI/CD flows aligned with platform standards
  • Provide operational support for pipelines and platform components, including critical incident support when needed
  • Mentor team members and contribute to a collaborative culture of continuous improvement

• Atleast a bachelor’s degree
• Hands-on experience with AWS and infrastructure as code using Terraform and/or AWS CloudFormation (Atleast 3 years)
• Strong experience designing and supporting CI/CD platforms, with expertise in Jenkins (or Github Actions) and modernizing pipelines
• Strong Python skills, including building reusable tooling and automation and have a good understanding of container and deployment practices such as Docker, ECR, GitOps, and blue/green deployments. Knows python coding and testing practices
• Experience integrating security, quality, and compliance controls into engineering workflows
• Experience improving observability using Open Telemetry or similar monitoring practices
• Strong troubleshooting skills with experience supporting platform and pipeline issues, including critical incidents
• Strong communication, collaboration, and documentation skills, with experience working across global teams
• Practical experience using AI tools in engineering workflows to improve productivity and delivery outcomes
• Experience with GitHub Actions and/or Azure DevOps, and exposure to Kubernetes including troubleshooting in containerized environments
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives

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