Engineer II, DevOps Engineering

Join Thermo Fisher Scientific’s DAIV System Team in Bangalore as a DevOps Engineer II. You’ll build and maintain CI/CD pipelines, automate workflows, and support desktop and web product teams across EMEA, ensuring reliable software delivery and secure development practices.

• Implement, maintain, monitor, and troubleshoot CI/CD pipelines and related DevOps infrastructure
• Support product teams with build, test, packaging, deployment, release, and lifecycle management activities
• Create and maintain scripts, pipeline components, automation, and documentation to reduce manual effort
• Manage GitHub/GitLab repositories, runners/agents, artifact management, and developer tooling
• Investigate and resolve build, pipeline, deployment, environment, and release failures
• Contribute to secure SDLC practices by running automated code, dependency, container, and secrets scans
• Participate in upgrades, migrations, patching, and deprecation activities for development tools and platforms
• Utilize AI‑assisted engineering tools to improve development, testing, documentation, troubleshooting, and automation
• Collaborate with DevOps engineers, software engineers, architects, cybersecurity specialists, and product stakeholders
• Follow engineering standards, review processes, configuration management practices, and operational procedures
• Share knowledge, seek feedback, and continuously develop technical skills across supported technology stacks
• Participate in Agile planning, team reviews, and continuous improvement activities

• Bachelor’s or master’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field
• 3–6 years of DevOps or software engineering experience
• Proficiency with Git and at least one CI/CD platform (GitHub Actions or GitLab CI/CD)
• Hands‑on experience with Python, .NET, Docker, and Linux
• Exposure to desktop delivery (CMake, C++/Qt, PowerShell, Windows) or web delivery (Kubernetes, Helm, Rancher, containerized platforms)
• Understanding of secure SDLC practices, dependency management, secrets protection, and vulnerability remediation
• Experience with generative AI tools for development, testing, or automation
• Strong communication skills and ability to collaborate in cross‑functional teams
• Knowledge of Agile methodologies (Scrum or SAFe) is beneficial