DEVOPS ARCHITECT - AWS

Happiest Minds Technologies; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Happiest Minds Technologies is seeking an experienced DevOps + Agentic DevXP Architect in Bangalore to modernize delivery platforms and advance AI-enabled developer experiences. The role emphasizes CI/CD platform engineering, scalable workflows, and practical AI applications for migrations, code analysis, and testing enablement.

With 10–16 years of experience, you will own platform modernization end-to-end, drive pragmatic AI patterns with human-in-the-loop safeguards, and lead adoption of

Qualifications

• Hands-on with CI/CD platforms and workflow automation.
• Experience unifying fragmented environments and enabling enterprise adoption.
• Practical AI integration for code understanding, testing, and migrations.

Responsibilities

• Migrate legacy Jenkins pipelines to GitHub Actions and build reusable templates.
• Drive platform modernization and observability across delivery flows.
• Define repository standards and guardrails for AI-enabled tooling.
• Onboard teams to standardized CI/CD and AI practices, with starter templates.

Skills

GitHub Actions

Jenkins

Python

Bash

TypeScript

Go

Kubernetes

Cloud-native delivery

LLM tooling

Code understanding

Testing automation

Tools

GitHub Copilot

Claude

Jira

Job description

Job Title: DevOps + Agentic DevXP Architect

Location: Bangalore

Experience: 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.

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.

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.