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Job Title: DevOps Engineer (AI & Automation) Location: Noida Experience: Min 2+ Years Department: Engineering / Infrastructure & Platform Role Overview We are looking for a DevOps Engineer to own our core DevOps administration while leading the implementation of AI-driven development workflows. In this role, you will manage repositories, establish automated CI/CD pipelines, and design autonomous coding, testing, and code-review agents using technologies like Claude Code, Anthropic Agent SDK, and GitHub Copilot Workspace/Agents. You will bridge classical platform engineering with AI native software development lifecycles. Key Responsibilities 1. DevOps Administration & Repository Management • Repository Architecture: Design, enforce, and maintain repository branching strategies (e.g., Trunk-Based, GitFlow, Feature-Branching) and access governance across organizations. • CI/CD Pipeline Engineering: Build, optimize, and secure multi-environment deployment pipelines using GitHub Actions, GitLab CI, or Azure DevOps with caching and automated quality gates. • Infrastructure as Code (IaC): Provision and manage cloud resources using Terraform, Pulumi, or Bicep, ensuring zero-drift environments. • DevSecOps Integration: Implement automated secret scanning (e.g., Gitleaks), dependency vulnerability checks (Trivy/Snyk), and SAST/DAST within CI steps. 2. AI Coding Agent Setup & Branch Workflows • Coding Agent Deployment: Configure and orchestrate developer AI agents (e.g., Claude Code, GitHub Copilot Cloud Agents, or custom agent frameworks) to perform autonomous task execution across different Git branches. • Repository Context & Prompts: Author and maintain repository-level context files (AGENTS.md, CLAUDE.md, custom system prompts, and MCP server integrations) to steer agents toward project conventions and architecture patterns. • Multi-Branch Automation: Configure workflow triggers that allow AI agents to pick up issue tickets, work within dedicated feature/bugfix branches, and automatically draft PRs. 3. Automated Code Review & Testing Agents • Code Review Agents: Integrate automated AI code-review agents within pull request workflows to perform compliance checks, security audits, and style adherence reviews before human sign-off. • Automated Testing & QA Agents: Build autonomous testing pipelines where agents analyze diffs, generate missing unit/integration tests, triage test failures, and suggest fixes directly in CI. • Governance & Safeguards: Establish strict safety guardrails, execution sandboxes, and human-in-the-loop approvals for agent-generated code. Technical Qualifications Must-Have Experience • Core DevOps (2+ Years): Hands-on expertise in CI/CD pipeline building, Docker, Kubernetes, and IaC (Terraform/Bicep/CloudFormation). • Git Administration: Mastery of Git internals, branch protection rules, merge strategies, and repository permissions. • AI Coding Tools & SDKs: Proven experience configuring or extending GitHub Copilot (Copilot Workspace, Agent Mode, Custom Instructions/Skills) or Claude (Claude Code CLI, Anthropic API/SDK, Model Context Protocol). • Automation Languages: High proficiency in Python, Bash, or TypeScript/Node.js for building custom hooks, bots, and API integrations. Nice-to-Have Experience • Experience building multi-agent orchestrations (e.g., CrewAI, LangChain, or custom sub-agents). • Experience with Model Context Protocol (MCP) server setups to connect AI agents with internal tooling, databases, and monitoring systems. • Deep understanding of DevSecOps standards and cloud infrastructure cost optimization. Expected 90-Day Deliverables Month 1: Audit existing repos and establish standardized CI/CD templates and branch protection rules across all development projects. Month 2: Deploy initial Claude / GitHub Copilot agent workflows for automated PR code reviews and unit test generation. Month 3: Fully operationalize an end-to-end agentic workflow where feature tickets can be assigned to branch-specific coding agents to generate, test, and submit initial pull requests.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.