Director of DevOps Engineering

Job summary

Labcorp is seeking a DevOps IT Manager to lead enterprise-wide DevOps transformation and elevate software delivery capabilities. This role involves building and mentoring a high-performing team, driving the adoption of modern practices, and shaping the technical direction of platform infrastructure across AWS and Azure. The manager will act as a servant leader, empowering the team and making pragmatic decisions that balance scalability, speed-to-market, and maintainability.

Benefits

Qualifications

• Bachelor's Degree.
• 7 or more years in DevOps/Platform Engineering.
• 2 or more years managing engineering teams using Agile methodologies.
• 2 or more years Unix/Linux system administration.
• 3 or more years hands-on experience with cloud platforms (AWS, Azure, or GCP) and Infrastructure as Code.
• Healthcare industry experience.
• Experience implementing and using engineering productivity metrics platforms (LinearB, DX, or similar) or building custom metrics dashboards.
• Experience evaluating or integrating AI tools into software delivery pipelines (e.g., GitHub Copilot, AI-powered testing, AIOps platforms).
• Ability to influence stakeholders at all levels, including executive leadership.
• Strong communication skills to translate complex technical concepts for diverse audiences.
• Self-directed with demonstrated initiative and ability to work autonomously.

Responsibilities

• Define and execute the enterprise DevOps roadmap aligned with business priorities.
• Champion CI/CD, Infrastructure as Code, observability, and cloud-native architectures.
• Present delivery metrics, innovation initiatives, and risk mitigation strategies to executive stakeholders.
• Build and mentor a global DevOps team to scale platform capabilities.
• Oversee Terraform implementations for multi-cloud infrastructure (AWS, Azure).
• Lead containerization strategies using ECS and EKS with secure, scalable orchestration.
• Drive automation of infrastructure provisioning, deployment pipelines, and monitoring.
• Evaluate and integrate AI-powered tools into DevOps workflows (code generation, automated testing, incident response, predictive analytics).
• Evaluate and implement emerging tools that improve productivity, resilience, and developer experience.
• Partner with application teams, architects, and security to enable high-velocity, compliant delivery.
• Act as a trusted advisor to business units, aligning DevOps capabilities with cross-functional needs.
• Guide teams in adopting AI assistants and automation tools to accelerate development cycles.
• Promote experimentation and continuous improvement across engineering practices.
• Ensure operational excellence through advanced observability and proactive incident management.
• Recruit and develop top talent committed to innovation and operational excellence.
• Foster a culture of ownership, empowerment, and continuous learning.
• Leverage engineering productivity platforms (e.g., LinearB, DX) or custom metrics to track DORA metrics, cycle time, and team efficiency.
• Use data-driven insights to identify bottlenecks, optimize workflows, and improve organizational agility.

Skills

Degrees

Work schedule

Industry

Relocation