Sr. Specialist Software Developer B2B Commerce

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. Job Title: Sr. Specialist Software Developer B2B Commerce Current Need: We are seeking a highly skilled and experienced Senior Software Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining our microservices-based B2B ecommerce platform using Spring Boot and React. This role requires a deep understanding of software engineering best practices, excellent problem-solving abilities, and a passion for leveraging cutting-edge technologies to drive innovation and efficiency. The Senior Engineer will also play a strategic role in shaping the platform’s technical direction, mentoring team members, and influencing cross-functional collaboration.

Requirements

Typically requires 7+ years' experience in software development with a focus on Spring Boot and React
Bachelor’s degree in Computer Science, Engineering, or a related field
Strong hands-on engineering experience with Java, Spring Boot, HTML/CSS/JS, RDBMS, REST, GraphQL Git.
Foundational knowledge of HTTP, cookies, sessions, AJAX, and browser behavior.
Familiarity with Elastic, Redis, React, Docker, Kubernetes, Azure, Phyton.
Familiarity with the MCP Protocol and RAG based AI agents.
Exposure of LLM Agent connectivity via APIs
Exposure to Kafka, change data capture, and data replication processes is a plus.
Understanding of microservices-based architectures.
Basic familiarity with CI/CD pipelines.
Awareness of performance tuning and optimization techniques.
Knowledge of security best practices and industry standards.
Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson.

Nice To Haves

Experience designing and building large-scale ecommerce applications.
Experience with B2B ecommerce platforms

Responsibilities

Design and Development: Architect, develop, and maintain scalable and robust microservices using Spring Boot and React to power our B2B ecommerce platform.
Lead architectural decisions and contribute to the design of new features and enhancements, ensuring alignment with business objectives and technical standards.
Evaluate and integrate generative AI capabilities into platform strategy to improve development workflows and product capabilities.
Lead initiatives involving advanced AI frameworks such as the MCP Protocol, Retrieval‑Augmented Generation (RAG), and A2A Protocol, guiding the team in practical implementation.
Collaboration and Integration: Work closely with cross-functional teams to integrate our platform with ERP systems, data warehouses, and other essential applications.
Collaborate with product management to refine feature requirements and specifications.
Influence cross-functional teams and drive consensus on technical solutions.
Drive AI adoption across engineering teams and define standards for AI-assisted development.
Architect and oversee connectivity strategies for LLM agents via APIs, enabling robust multi‑agent collaboration and seamless integration.
Best Practices and Optimization: Implement and advocate for best practices in software development, including code reviews, testing, and continuous integration.
Conduct performance tuning and optimization to ensure high availability and scalability of the platform.
Implement security best practices to protect sensitive data and ensure compliance with industry standards.
Mentor and coach junior and mid-level engineers to foster technical growth and team development.
Evaluate and optimize latency, scalability, and cost considerations when integrating AI services into production systems.