Happiest Minds - Senior DevOps Architect - AWS

Senior DevOps Architect - AWS (Agentic DevXP Engineering)

Location : Bengaluru (Electronic City)

Work Mode : 4 Days Work from Office

Experience : 10 - 25 Years

Positions : 5

About the Role :

We are looking for a highly skilled Senior DevOps Architect to lead the modernization of our Software Delivery Platform and transform Developer Experience (DevXP) through AI-enabled engineering practices.

This role combines DevOps Platform Engineering, CI/CD Modernization, Cloud Architecture, GitHub Ecosystem Management, and Agentic AI Adoption. The ideal candidate should have strong hands-on experience in AWS, GitHub Actions, Jenkins, Kubernetes, CI/CD automation, and AI-assisted software engineering workflows.

This is not an AI research role. The focus is on applying AI capabilities to solve real-world engineering challenges including software delivery automation, repository modernization, code analysis, migration, testing, and developer productivity.

Key Responsibilities :

1. CI/CD Platform Modernization :

- Lead migration of enterprise CI/CD pipelines from Jenkins to GitHub Actions.

- Develop reusable workflow templates and engineering standards.

- Improve deployment reliability, observability, and governance.

- Standardize DevOps practices across engineering teams.

2. AI-Enabled Engineering :

- Leverage AI-powered tools such as GitHub Copilot and other LLM-based solutions to improve developer productivity.

- Implement AI-assisted workflows for code analysis, migration, testing, documentation, and automation.

- Design scalable and secure AI-driven engineering processes.

3. DevOps & Cloud Platform Engineering :

- Architect and manage AWS-based cloud-native delivery platforms.

- Build scalable CI/CD frameworks using GitHub Actions.

- Develop automation tools using Python, Go, Bash, or TypeScript.

- Drive containerization and Kubernetes-based deployment strategies.

4. Repository & Developer Experience Engineering :

- Establish repository standards, templates, metadata structures, and governance frameworks.

- Create agent-ready repositories for AI-enabled development practices.

- Enable developer self-service through golden paths, templates, and automation.

5. Governance & Security :

- Define guardrails for AI adoption, workflow validation, peer reviews, and security controls.

- Ensure compliance with enterprise DevSecOps and cloud security standards.

- Implement quality gates and automated validation mechanisms across software delivery pipelines.

Mandatory Skills :

- AWS Cloud

- DevOps Architecture

- GitHub Actions

- GitHub Administration

- Jenkins

- CI/CD Pipeline Design & Implementation

- Kubernetes

- Containerization

- Agentic AI

- GitHub Copilot

- DevOps Automation

- Platform Engineering

Technical Skills :

- GitHub Actions

- Jenkins CI/CD

- AWS Services

- Kubernetes

- Docker/Containers

- Python

- Go

- TypeScript

- Bash Scripting

- Infrastructure Automation

- Repository Governance

- DevSecOps

Required Experience :

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

- Experience architecting large-scale DevOps platforms on AWS.

- Proven expertise in CI/CD modernization initiatives.

- Experience building reusable developer tooling and platform automation.

- Strong understanding of Kubernetes, cloud-native architecture, and container ecosystems.

- Practical experience with AI-powered developer tools such as GitHub Copilot.

- Knowledge of AI risks, human-in-the-loop validation, and secure AI adoption practices.

- Excellent stakeholder management and engineering leadership skills.

Ideal Candidate Profile :

- End-to-end ownership mindset.

- Strong architect with hands-on implementation experience.

- Ability to drive enterprise-wide DevOps transformation.

- Passion for Developer Experience (DevXP) and platform engineering.

- Experience introducing AI capabilities into software engineering workflows.

- Excellent communication and collaboration skills.