SENIOR DEVOPS TECHNICAL LEAD - AWS

Role overview

SENIOR DEVOPS TECHNICAL LEAD - AWS at Happiest Minds

CI/CD Modernization Migrate legacy Jenkins pipelines to GitHub Actions.

Responsibilities

• Build reusable workflows, templates, and standards to reduce fragmentation.
• Improve visibility and observability across all delivery flows.
• AI-Assisted Engineering Apply AI to accelerate migrations, code analysis, testing, and documentation.
• Create safe, repeatable AI workflows backed by robust validation layers.
• Agent-Ready Repositories Define and implement repository standards covering metadata, documentation, instructions, and templates.
• Ensure AI tools have sufficient context to operate effectively without compromising security.
• Agent Workflows & Guardrails Integrate AI into engineering workflows across GitHub, CI/CD, Jira, and related systems.
• Define guardrails around access, validation, peer review, and security.
• Focus on high-value, practical use cases that address immediate bottlenecks.
• Platform Adoption Onboard engineering teams to standardised CI/CD and AI practices.
• Provide golden paths, documentation, and starter templates.
• Drive adoption through iterative feedback loops and user-centric solutions.

Required qualifications

• 10 to 16 Years This role modernizes our software delivery platform and evolves Developer Experience (DevXP) toward an AI-enabled, agentic model.
• It blends CI/CD platform engineering with practical AI application focused on real engineering problems such as pipeline migration, automation, code understanding, and testing enablement.
• This is not an AI research role.
• Core Mission Enable faster, safer software delivery with minimal friction by building a standardized, AI-enabled developer platform.
• CI/CD & Platform Engineering Strong hands-on experience with GitHub Actions and Jenkins.
• Proven track record building reusable workflows and developer tooling.
• Proficiency in Python, Bash, TypeScript, or Go.
• Experience with containers, Kubernetes, and cloud-native delivery practices.
• Deep understanding of GitHub workflows including PRs, CODEOWNERS, and repository standards.
• Ability to unify fragmented environments and drive enterprise-wide adoption.
• AI & Agentic Practices Hands-on experience with LLM-powered tooling such as GitHub Copilot or Claude.
• Practical application of AI to code understanding, automated testing, and migration tasks.
• Experience managing repository-level AI context (e.g., .github/instructions.md or prompt files).
• Solid grasp of AI risks including hallucinations, security vulnerabilities, and over-automation.
• Experience designing safe, human-in-the-loop AI patterns with manual validation checkpoints.
• Seniority Expectations End-to-End Ownership - Own the platform modernization roadmap from conception through execution.
• Bias for Action - Deliver tangible tooling and automation, not just high-level strategy.
• Pragmatism - Turn emerging AI capabilities into practical, everyday engineering workflows.
• Strategic Influence - Balance standardization requirements with real-world project constraints.
• Leadership by Example - Influence teams through highly usable solutions and clear, concrete examples.

Employment details

• Location: Bangalore
• Location: Bengaluru

Additional role details

• Job Title: DevOps + Agentic DevXP Architect