Sr. Software Developer, Warehouse Management Systems

McKesson•Richmond, VA

About The Position

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. The Sr. Software Developer, Warehouse Management Systems, Warehouse Management Systems, is responsible for the development and support of applications utilized in McKesson distribution centers. The Distribution Technologies team provides expertise in optimizing application performance and the development of enhancements that will improve productivity and customer experience. We are looking for an experienced developer that is familiar with Tier 1 Warehouse Management Systems, and the integrations of this application into various levels of automation systems within warehouses. This is a key position that will interface with many internal customers, internal groups, vendors, and others. This person will work in a team environment on various projects and initiatives. The position requires someone who is technology savvy, has a demonstrated willingness to learn, and has a demonstrated capacity to retain information and knowledge. Attention to detail, and the ability to create, document, and follow processes are essential. The candidate must have strong interpersonal and communication skills who can work with people at various levels.

Requirements

7+ years of relative experience
Advanced .Net (C# and VB) programming skills, ASP.NET MVC
Intermediate/advanced experience in Windows Client/Server environments
Advanced ASP Classic, JavaScript, VB Script or equivalent scripting technologies
Hands-on experience with microservices architecture and containerization (Docker, Kubernetes).
Experience with cloud platforms (GCP, Azure), building and managing Infrastructure as Code using Terraform.
Deep understanding of Apache Kafka for event-driven and real-time data processing.
4-year degree (in Computer Science, Information Systems, Business or related field) or equivalent experience

Nice To Haves

Proven experience supporting and troubleshooting complex, mission‑critical systems.
Familiarity with supply chain logistics, warehousing operations, and inventory management.
Experience working with Tier 1 WMS platforms, preferably in a cloud‑hosted environment.
Strong experience with integration technologies, including APIs, EDI, and web services.
Demonstrated ability to work with internal customers and external vendors to prioritize issues and communicate status effectively.
Excellent problem‑solving, analytical, and communication skills.
Ability to work effectively independently and in a collaborative team environment.

Responsibilities

Participate in the full software development lifecycle (SDLC), including requirements gathering, design/architect, development, testing, deployment, production support and maintain scalable software applications and integrations, supporting enterprise platforms.
Partner with IT teams, business stakeholders, and external vendors to design and deliver solutions that increase productivity, efficiency, and operational insight.
Analyze existing business and operational processes to identify opportunities were automation, analytics, or AI/ML techniques can improve outcomes.
Collaborate with business analysts, solution architects, and operations teams to translate business requirements into technical architectures.
Troubleshoot and resolve complex application, integration, and performance issues, ensuring minimal disruption to operations.
Perform system configurations, upgrades, and patching, while ensuring solutions remain secure, scalable, and maintainable.
Ensure code quality, reusability, and adherence to engineering standards and best practices.
Create and maintain technical, architectural, and process documentation, including AI models, data flows, and automation logic.
Act as a change agent, promoting modern engineering practices, continuous improvement, and responsible AI adoption.
Participate in agile development processes, including sprint planning, code reviews, and CI/CD.
Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware.
Stay current with emerging AI technologies, cloud platforms, data engineering tools, and WMS trends; proactively recommend enhancements and innovation opportunities.
Manage multiple initiatives and priorities simultaneously, balancing delivery, innovation, and operational stability.