What are the responsibilities and job description for the DevSecOps Engineering Lead position at Quest Diagnostics?
Pay Range: $129,000-143,000, plus yearly bonus
Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.
This position is hybrid and will require 3 days on site at one of the following Quest sites: Secaucus, NJ or Schaumburg, IL.
Benefits Information: We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include:
- Day 1 Medical, supplemental health, dental & vision for FT employees who work 30 hours
- Best-in-class well-being programs
- Annual, no-cost health assessment program
- Blueprint for Wellness
- healthyMINDS mental health program
- Vacation and Health/Flex Time
- 6 Holidays plus 1 MyDay off
- FinFit financial coaching and services
- 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service
- Employee stock purchase plan
- Life and disability insurance, plus buy-up option
- Flexible Spending Accounts Annual incentive plans
- Matching gifts program
- Education assistance through MyQuest for Education Career advancement opportunities and so much more!
As a Tech Lead, you will lead implementation of our cloud infrastructure and deployment strategies. You will be responsible for CI/CD and DevOps platform tools. A key focus of this role is the evolution toward Agentic DevOps, where you will design and deploy agents to automate complex, context-dependent tasks that traditional scripting cannot solve.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.
Responsible for Infrastructure deployment Strategy & 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.
Accountable for Automation CI/CD pipelines
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.
Lead Agentic AI & DevOps Innovation
Develop and integrate custom AI agents using the GitHub Copilot agentic ecosystem 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.
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:
- 10 years of experience in IT.
- 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.
Education:
- Required: Bachelor’s degree or equivalent work experience
- Preferred: Master’s Degree in computer science or MBA/MTech
Preferred Certifications:
- Kubernetes CKAD certification
- Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
- Microsoft Certified: Azure DevOps Engineer Expert (AZ-400)
Salary : $129,000 - $143,000