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Strong employer brand, popular DevOps title, Bangalore location, and broad required skillset increase applicant competition.
Core DevOps and MLOps skills transfer across industries, but GenAI/RPA specialization raises domain sensitivity.
Many specific mandatory technologies, production support and ITIL governance requirements make filtering highly strict.
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Own and manage production DevOps, MLOps, and GenAI platforms ensuring stability, uptime, incident resolution, and governance.
Lead hands-on technical delivery of CI/CD pipelines, ML/GenAI model deployment, data pipeline management, and scalable cloud infrastructure.
Manage RPA platforms and AI quality governance while interfacing with stakeholders to translate requirements into technical solutions and mentor junior engineers.
Proven experience with DevOps/MLOps tools: Jenkins, GitLab, Azure DevOps; cloud and container tech including Azure, Docker, Kubernetes.
Programming skills in Python, Java, and Selenium.
Experience with RPA tools like WorkFusion, UiPath, or Automation Anywhere.
Work Experience Required: Not explicitly mentioned in the JD; Role requires hybrid work with ~2 days/week onsite at HPE office.
Strong technical leadership in building and optimizing complex CI/CD and MLOps/GenAI platforms at scale with production support and incident management.
Experience owning end-to-end automation ecosystems including RPA and AI model governance to improve delivery quality and operational metrics.
Comfortable working across business, analytics, and engineering functions with ability to mentor and lead small teams or pods independently.