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Tier-1 employer, Bangalore location, and broad DevOps skill requirements increase candidate competition.
Core DevOps skills are transferable, but NetSec/SD-WAN and AI-first focus increase sector specificity.
Explicit 8+ years and mandatory CI/CD, cloud, and tooling expertise create high shortlisting strictness.
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Own the design and implementation of infrastructure, automation tools, and CI/CD workflows to improve developer productivity and efficiency.
Drive the integration of AI-first architecture to transform product lifecycle automation and engineering processes.
Collaborate with multiple engineering teams to maintain and enhance source code management, build, test tooling, and deployment pipelines at scale.
Minimum 8 years of software engineering experience.
Strong expertise in Engineering Productivity tools, cloud platforms (AWS, Azure, or GCP), build frameworks, configuration management, infrastructure as code, and secrets management.
Proficient in object-oriented programming languages such as Python, Java, C/C++, Go, or Node.js.
Not eligible for visa sponsorship; must be able to work in Bangalore location.
Senior engineer with demonstrated leadership in driving engineering productivity and automation at scale.
Experience with full-stack development and CI/CD tooling such as GitLab, Jenkins, Vault, Artifactory, Spinnaker, or ArgoCD preferred.
Familiarity with Google Cloud Platform ecosystem and AI/ML techniques in software engineering lifecycle.