Technical Manager – Application Architect

Labcorp•Durham, NC

14h•Hybrid

About The Position

The Technical Manager – Application Architect leads the design, architecture, and delivery of enterprise-grade applications at Labcorp. This role combines hands-on technical expertise with leadership responsibility to ensure applications are scalable, secure, and aligned with business objectives. The position partners with engineering teams and business stakeholders to drive innovation, adopt modern technologies including AI-enabled tools, and deliver high-quality solutions that support organizational goals.

Requirements

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, DynamoDB, CloudFormation, or Terraform
3 or more years of experience implementing CI/CD pipelines and DevSecOps practices
2 or more years of experience using containerization technologies such as Docker or Kubernetes
Experience architecting and delivering enterprise-scale applications.
Experience leading or managing software development teams.
Experience working with integration patterns, distributed systems, and scalable architectures.
Strong analytical and problem-solving skills.
Strong written and verbal communication skills.
Ability to collaborate with technical and non-technical stakeholders.
Ability to manage multiple priorities and deliver results in a fast-paced environment.

Nice To Haves

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 environments

Responsibilities

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.
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.
Lead, mentor, and manage software engineers and technical team members.
Establish and enforce development standards, coding practices, and DevSecOps 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.
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.
Oversee technical governance, architecture compliance, and risk mitigation strategies.
Establish and maintain production support processes, including monitoring, diagnostics, and root-cause analysis.
Partner with DevOps and Cloud teams to improve CI/CD pipelines and cloud infrastructure performance.
Lead performance optimization initiatives and architectural refactoring efforts.