ThoughtSol Infotech Ltd.
Website:
thoughtsol.in
Company:
https://www.linkedin.com/company/thoughtsol-infotech-ltd
Seniority: Associate
Industries: IT Services and IT Consulting
Job details:
Job Title: Azure 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.
Click on Apply to know more.
