SENIOR DEVOPS TECHNICAL LEAD - AWS

Happiest Minds Technologies; Bengaluru; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

Happiest Minds Technologies in Bengaluru is looking for a Senior Agentic DevXP Engineer to modernize our software delivery platform, drive AI-enabled developer experiences, and bring pragmatic, scalable solutions to engineering teams. You'll migrate Jenkins to GitHub Actions, build reusable workflows, templates, and standards to reduce fragmentation, and oversee governance and security across projects.

You will mentor peers, foster best practices, and ensure reliable, observable delivery

Qualifications

• Strong hands-on experience with GitHub Actions and Jenkins.
• 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.

Responsibilities

• Migrate legacy Jenkins pipelines to GitHub Actions.
• Build reusable workflows, templates, and standards to reduce fragmentation.
• Improve visibility and observability across all delivery flows.
• Onboard engineering teams to standardized CI/CD and AI practices.
• Provide golden paths, documentation, and starter templates.

Skills

GitHub Actions

Jenkins

Python

Bash

TypeScript

Go

Kubernetes

Cloud-native delivery

Code review

Tools

Docker

CI/CD tooling

GitHub workflows

Job description

(Senior) Agentic DevXP Engineer

Role Purpose

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.

Focus Area

Description

CI/CD Modernization

Migrating Jenkins to GitHub Actions

Scalability

Developing reusable workflows and standards

Contextual Readiness

Building "agent-ready" repositories

AI Integration

Designing AI-assisted engineering workflows

Governance

Implementing quality gates and guardrails

Empowerment

Driving developer self-service and platform adoption

Key Responsibilities

CI/CD Modernization

• Migrate legacy Jenkins pipelines to GitHub Actions.
• 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 Experience

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.