Senior DevOps Engineer

Role Summary

• Pipeline Development:Create,maintain, and enhance CI/CD pipelines at scale usingGitHubActions, Python scripts, and similar tools.

• Version Control Management:Handle GitHub management tasks at the Enterprise organization level.

• Build and Integration:Automate the deployment of containerized or serverless applications to the cloud.Help build common utilities and implement common practices to whole organization

• Collaboration with Developers:Work closely with development teams to integrate new features smoothly into pipelines andassistwith troubleshooting build failures.

• Testing and Validation:Set up automated testing frameworks, static code analysis tools, and unit tests.

• Deployment:Manage application deployments acrossmulti-accountcloud environments.
• Monitoring and Optimization:Oversee pipeline performance, resolve issues, and drive ongoing improvements for speed and reliability.

• Documentation and Standards:Develop and sustain documentation for CI/CD pipelines and ensure compliance with DevOps best practices.

• Toolchain Management:Administer build environments and dependencies, including static code analyzers, test coverage reporting, andinfrastructure ascode.

• Maintaining and Governing Supporting DevOps Tooling:Oversee tools such asGitHub,Jfrog,SonarQube, and similar platforms.

• Security:Apply security measures throughout the pipeline, including vulnerability scanning and verifying artifact integrity.

• AI & LLM:Incorporate and optimize Large Language Model (LLM) usage in pipelines, supporting code reviews, defect detection, and vulnerability identification.

Education

• Bachelor's or master's degree in computer science, IT, or a related engineering field.

RequiredSkills&Experience:

• Minimum of five years practical DevOps experience, with in-depth knowledge of CI/CD methodologies.

• MandatorySkills:

• Proficiencyin CI/CD tools such as GitHub, GitLab, or Jenkins.

• Thorough knowledge of Git version control practices, including branching, merging, and tagging

• Comfortability to working oncommandline on Linuxenvironments

• Advanced scripting capabilities in Python, Bash, or comparable languages for automation purposes.

• Strong problem-solving skills and the ability to troubleshoot complex issues.

• Prior experience with core services on cloud platforms including AWS, Google Cloud, or Azure is desirable.

• Expertisein infrastructure as code,utilizingtools like AWS CDK, AWS CloudFormation, or Terraform is preferred.

• Fundamental understanding of serverless infrastructure is considered an asset.

• Familiarity with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes) isadvantageous.

• Experience with automated testing frameworks is beneficial.

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