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Popular DevOps role, Chennai metro, broad technical requirements create high candidate competition.
Core cloud and IaC skills are transferable, but AI-tooling and MCP add moderate domain specificity.
Multiple mandatory tech skills and explicit 1–3 years experience make screening highly strict.
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Automate and deploy core SDLC productivity tools in partnership with software engineering teams.
Maintain and optimize cloud-native AI-PDLC toolchains ensuring zero operational gaps during transition.
Instrument and report on global engineering performance metrics (DORA, SPACE) and build automated dashboards for adoption analytics.
Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.
1 to 3 years of experience in cloud environments and scalable SaaS architectures.
Proficiency in scripting (Python, TypeScript, or Go) and Infrastructure as Code (Terraform/CloudFormation).
Practical operational knowledge of AWS; secondary exposure to Azure or GCP.
Experienced in integrating and operating AI development assistants and tools (e.g., GitHub Copilot, Atlassian Rovo).
Skilled at analyzing engineering workflow data to drive process improvements based on metrics and operational insights.
Able to effectively collaborate as a central liaison across global engineering teams spanning 40+ countries.