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Technical Manager - Application Architect

Job in Durham, Durham County, North Carolina, 27701, USA
Listing for: LabCorp
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    Software Engineer
Job Description & How to Apply Below
Labcorp is seeking a Technical Manager - Application Architect to join our team in Durham, NC.

Location:

Durham, NC.

Applicants who live within 35 miles of Durham, NC location will follow a hybrid schedule. This schedule includes a minimum of three in office days per week in Durham, supporting both collaboration and flexibility.

Work Schedule:

This is a full‑time, exempt (salaried) position assigned to a First Shift schedule, with standard business hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. EST.

Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.

Job Responsibilities

Architecture and Technical Leadership

* Own and evolve the end‑to‑end application architecture, ensuring scalability, reliability, performance, and security.

* Provide architectural guidance across Java‑based services, microservices, APIs, and cloud‑native components deployed on AWS.

* Define architectural standards, patterns, best practices, and long‑term technical roadmaps.

* Evaluate emerging technologies and integrate AI‑assisted development tools to improve development velocity and code quality.

* Drive engineering improvements focused on automation, resiliency, observability, and modernization.

Business Partnership and Product Alignment

* Serve as the primary technical liaison between engineering and business stakeholders.

* Translate business requirements into technical designs and implementation plans.

* Communicate risks, timelines, dependencies, and trade‑offs to stakeholders.

* Provide technical insights that inform product roadmap and strategic planning decisions.

Development Leadership and People Management

* Lead, mentor, and manage software engineers and technical team members.

* Establish and enforce development standards, coding practices, and Dev Sec Ops  workflows.

* Guide teams across the software development lifecycle, including design, development, testing, deployment, and support.

* Introduce new tools, frameworks, and engineering approaches to improve team productivity and capability.

* Foster a culture of collaboration, accountability, and continuous improvement.

AI and Automation Integration

* Evaluate and implement AI‑enabled engineering tools, including code generation, automated testing, and documentation tools.

* Identify opportunities for automation to improve development processes and system performance.

* Support adoption of AI‑driven enhancements to improve application quality and engineering workflows.

* Apply experience with model‑centric programming (MCP) or agent‑based workflows to improve engineering outcomes.

Operational and Delivery Responsibilities

* Oversee technical governance, architecture compliance, and risk mitigation strategies.

* Establish and maintain production support processes, including monitoring, diagnostics, and root‑cause analysis.

* Partner with Dev Ops and Cloud teams to improve CI/CD pipelines and cloud infrastructure performance.

* Lead performance optimization initiatives and architectural refactoring efforts.

Minimum Qualifications

* Bachelor's degree in Computer Science, Software Engineering, or Engineering

* 10 or more years of experience in software development

* 5 or more years of experience in architecture or technical leadership roles

* 5 or more years of experience developing applications using Java and Spring Boot

* 3 or more years of experience designing and implementing REST APIs and microservices architectures

* 3 or more years of experience working with AWS services such as Lambda, ECS, EKS, API Gateway, RDS, Dynamo

DB, Cloud Formation, or Terraform

* 3 or more years of experience implementing CI/CD pipelines and Dev Sec Ops  practices

* 2 or more years of experience using containerization technologies such as Docker or Kubernetes

Preferred Qualifications

* 2 or more years of experience evaluating or implementing AI‑enabled software engineering tools

* 2 or more years of experience supporting application modernization or cloud transformation initiatives

* 2 or more years of experience applying model‑centric programming (MCP) or agent‑based workflows in software development…
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