





Senior niche LLMOps/platform role in Delhi NCR with metro and moderate brand, medium competition.
Core DevOps/platform skills are transferable but QA automation and LLMOps specificity raise domain bias to medium.
Explicit 8+ years requirement plus mandatory DevOps/CI-CD/platform tooling and operational experience implies high strictness.
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Build and operationalize AI Quality Automation platform capabilities for enabling AI-first quality engineering across ETS products and teams.
Maintain continuity and support of existing automation assets and CI/CD pipelines while integrating and scaling future AI-generated automation workflows.
Develop and implement observability, monitoring, support tooling, and LLMOps practices to ensure platform reliability, traceability, and security in production environments.
Bachelor's degree in Computer Science, Engineering, IT, or equivalent experience.
8+ years of experience in DevOps, platform engineering, SRE, test automation infrastructure, software engineering, cloud engineering or related technical roles.
Hands-on experience implementing and supporting CI/CD pipelines, automation frameworks, pipeline troubleshooting, and operational platform processes.
Experience with Git-based workflows, CI/CD tools (e.g., GitLab, Jenkins, Azure DevOps), Selenium/Playwright, Jira, Zephyr, Confluence, scripting languages (Python, JavaScript/TypeScript, Java, Bash, PowerShell).
Experienced in enterprise-grade automation platform engineering with ability to support multi-tool and multi-application environments during transitions to AI-enabled testing.
Strong operational mindset focused on observability, reliability, security, and maintainability across AI and legacy automation infrastructure.
Collaborative practitioner capable of translating architectural designs into scalable, supportable production platforms in partnership with cross-functional engineering, DevOps, security, and quality assurance teams.