Quest Diagnostics
Website:
questdiagnostics.com
Job details:
We are looking for a high-performing Senior DevOps Engineer to own and evolve our Azure-based infrastructure. You will be the primary architect of our CI/CD ecosystems and the driving force behind integrating Agentic AI into our operations. Your mission is to build "self-healing" infrastructure and highly autonomous deployment pipelines using Agentic AI approach that empower our developers to ship code faster and more securely.
Responsibilities
- Responsible for Azure Infrastructure Deployments and platform Governance
- Design and manage secure, scalable infrastructure on Microsoft Azure following the Azure Well-Architected Framework.
- Lead the adoption of Infrastructure as Code (IaC) using tools like Terraform to ensure modular, reusable, and version-controlled provisioning.
- Architect and optimize Azure Services for high performance and scalability.
- Responsible for Automation & CI/CD workflows for Azure Cloud Services
- Build and maintain advanced CI/CD pipelines using GitHub Actions, incorporating reusable workflows and composite actions.
- Implement Kubernetes orchestration (AKS), managing cluster contexts, namespaces, and automated deployments from Azure Container Registry.
- Responsible to build AI agents for DevOps Automation.
- Develop and integrate custom AI agents using the GitHub Copilot agentic ecosystem or Google ADK to handle tasks like automated bug fixes, documentation, and predictive pipelines.
- Leverage GitHub Copilot Agent Mode or Google ADK framework to perform large-scale refactoring’s, migrate legacy code, and execute automation.
- Establish KPIs to measure the success and adoption of AI-driven automation across the engineering team.
- Work closely with Azure DevOps engineer, architects and security team members.
- Act as a technical advisor and mentor to junior engineers, conducting training sessions on DevOps best practices.
- Drive a culture of DevSecOps, ensuring all pipelines include automated security scanning (SAST), secrets management, and compliance guardrails.
Required Work Experience:
- Cloud Expertise: Deep knowledge of Azure services (App Services, Azure Functions, Key Vault, and Networking).
- Containerization: Hands-on experience with Docker and Azure Kubernetes Service (AKS).
- Database Management: Proficiency in modeling and optimizing relational and NoSQL databases in a cloud environment.
- AI Tools: Proven experience using GitHub Copilot for AI-assisted development and creating agents within GitHub CoPilot or Google ADK frameworks.
- Scripting: Strong skills Python for automating deployment tasks.
Soft Skills
- Strategic Thinking: Ability to identify opportunities to shift manual processes to API-first, agent-compatible automation.
- Communication: Excellent verbal and written skills to coordinate between development, product owners, and business stakeholders.
- Adaptability: A proactive mindset geared toward staying updated on evolving Azure features and AI industry trends.
Physical and Mental Requirements:
Ability to follow verbal or written instructions, thinking analytically, using effective verbal and written l communication, Handling stress & emotions, and Making decisions.
Certifications:
- Kubernetes CKAD certification
- Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
- Microsoft Certified: Azure DevOps Engineer Expert (AZ-400)
Click on Apply to know more.