Job description

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. About the Role McKesson Pharmacy Systems (MPS) is seeking a Senior Full Stack AI Software Engineer to help build and modernize the next generation of pharmacy technology solutions. In this role, you will design, develop, and deploy cloud-based applications using Java, Angular, Spring Boot, PostgreSQL, Azure, and modern AI-assisted engineering tools. Working closely with product managers, architects, and engineering teams, you will play a key role in delivering scalable, secure, and highly reliable software solutions that support critical pharmacy operations using an AI-native SDLC methodology. This is a hands-on engineering position that combines application development, technical leadership, cloud-native architecture, and AI-enabled software engineering practices. What You ll Do Design, develop, test, and deploy full-stack applications using Java, Spring Boot, Angular, TypeScript, and PostgreSQL. Build and maintain REST APIs and microservices using modern architecture principles and OpenAPI/Swagger standards. Leverage approved AI development tools, including GitHub Copilot and Claude, to improve engineering productivity, code quality, testing coverage and efficiency Evaluate AI-generated code for security, performance, scalability, maintainability, and functional accuracy. Develop user interfaces and administrative tools that support business workflows and operational efficiency. Create scalable, event-driven solutions using technologies such as Kafka and distributed messaging platforms. Architect and optimize core AI agent orchestration layer and runtime harness to handle complex, multi-step task execution, model routing Ensure end-to-end quality across user interfaces, APIs, databases, integrations, and event-driven services. Implement automated testing, CI/CD pipelines, and continuous delivery best practices. Utilize observability and monitoring tools to improve application reliability and production support. Participate in architecture reviews, code reviews, and technical design discussions. Mentor engineers through knowledge sharing, design collaboration, and engineering best practices. Partner with cross-functional teams to deliver high-quality software solutions in an Agile environment. Basic Requirements Minimum Education & Typical Experience or Equivalent Combination Degree or equivalent experience and typically requires 7 years of relevant software engineering experience. Required Skills & Experience 7 years of software development experience. Hands-on experience with Java, Spring Boot, and RESTful API development. Experience leveraging AI-assisted software development tools and workflows. Experience developing web applications using Angular, React, Vue, Next.js, or similar JavaScript frameworks. Robust experience designing low-latency agent execution looks that natively manage multi-step tool execution (harness, orchestrator concepts) Strong knowledge of SQL and relational databases, including PostgreSQL. Experience with event-driven architectures and messaging technologies such as Kafka. Experience with source control, CI/CD pipelines, and modern software delivery practices. Experience developing and executing automated tests. Strong troubleshooting, debugging, and production support skills. Preferred Skills/Experience Experience with Azure cloud services and cloud-native application development. Experience with Docker and containerized deployments. Experience using ORM technologies such as Hibernate or JPA. Familiarity with Redis or other caching technologies. Experience with feature management tools such as LaunchDarkly or Optimizely. Experience with database migration tools such as Liquibase or Flyway. Experience with observability and monitoring tools, including Dynatrace. Experience working with distributed tracing, metrics, and structured logging. Previous experience in healthcare, pharmacy, or highly regulated industries. Work Arrangement This is a hybrid position. The selected candidate will work onsite at our Las Colinas office a minimum of two days per week, with the remaining days worked remotely. In-office days may vary based on business and team needs. Physical Requirements General office work requiring extended periods of sitting, computer use, communication, and collaboration in both virtual and in-person environments. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson s pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation McKesson.com or (Canada) Accessibility mckesson.ca . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Requirements

Must-haves

What You ll Do
Design, develop, test, and deploy full-stack applications using Java, Spring Boot, Angular, TypeScript, and PostgreSQL.
Build and maintain REST APIs and microservices using modern architecture principles and OpenAPI/Swagger standards.
Leverage approved AI development tools, including GitHub Copilot and Claude, to improve engineering productivity, code quality, testing coverage and efficiency
Evaluate AI-generated code for security, performance, scalability, maintainability, and functional accuracy.
Develop user interfaces and administrative tools that support business workflows and operational efficiency.
Create scalable, event-driven solutions using technologies such as Kafka and distributed messaging platforms.
Architect and optimize core AI agent orchestration layer and runtime harness to handle complex, multi-step task execution, model routing
Ensure end-to-end quality across user interfaces, APIs, databases, integrations, and event-driven services.
Implement automated testing, CI/CD pipelines, and continuous delivery best practices.
Utilize observability and monitoring tools to improve application reliability and production support.
Participate in architecture reviews, code reviews, and technical design discussions.
Mentor engineers through knowledge sharing, design collaboration, and engineering best practices.
Partner with cross-functional teams to deliver high-quality software solutions in an Agile environment.
Minimum Education & Typical Experience or Equivalent Combination
Degree or equivalent experience and typically requires 7 years of relevant software engineering experience.
Required Skills & Experience
7 years of software development experience.
Hands-on experience with Java, Spring Boot, and RESTful API development.
Experience leveraging AI-assisted software development tools and workflows.
Experience developing web applications using Angular, React, Vue, Next.js, or similar JavaScript frameworks.
Robust experience designing low-latency agent execution looks that natively manage multi-step tool execution (harness, orchestrator concepts)
Strong knowledge of SQL and relational databases, including PostgreSQL.

Nice-to-haves

Preferred Skills/Experience

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aijavaangularazuretypescriptrestci/cdagileapireactvuenext.jsjavascriptsqldockeraccessibility

Platform: workday
Effort: long