Staff Software Developer

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.

• Define and influence architectural direction across the Access Engineering portfolio.
• Lead technical strategy for initiatives that span multiple products, systems, and engineering teams.
• Evaluate architectural tradeoffs and guide teams toward scalable, maintainable solutions.
• Create reusable technical patterns, reference implementations, and engineering standards.

• Establish and promote best practices for software quality, reliability, security, observability, and maintainability.
• Help teams improve automated testing, production readiness, operational excellence, and system performance.
• Drive consistency in engineering practices while minimizing unnecessary complexity.

• Identify opportunities to improve shared tooling, platform capabilities, and development workflows.
• Reduce technical friction and operational overhead, enabling engineers to focus on delivering customer value.
• Champion improvements that increase engineering velocity, quality, and sustainability.

• Define and advance Access Engineering's strategy for AI-assisted software development and AI-enabled engineering practices.
• Partner with enterprise AI teams to adopt established standards while identifying use cases specific to Access Engineering.
• Evaluate tools, practices, and safeguards that support the responsible use of AI throughout the software development lifecycle.

• Mentor senior engineers and help strengthen technical leadership across the organization.
• Foster a culture of technical excellence, knowledge sharing, and continuous improvement.
• Influence engineering, product, and leadership stakeholders through technical expertise and strategic thinking.

• Remain actively engaged with implementation details to ensure architectural decisions are practical and executable.
• Contribute to software design, prototyping, troubleshooting, and critical development efforts when appropriate.
• Partner with engineering teams to solve complex technical and operational challenges.

Priority will be given to candidates who reside in the Columbus, OH metropolitan area.

We are unable to provide sponsorship for this role presently or in the future.

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field; equivalent practical experience considered.
• 10+ years of professional software engineering experience, including experience designing and building enterprise-scale software systems.
• Demonstrated experience leading technical initiatives across multiple teams, products, or organizational boundaries.
• Experience designing distributed systems, APIs, integration platforms, or cloud-native applications.
• Proven ability to influence technical direction without formal management authority.
• Experience mentoring engineers and driving engineering best practices.

• Enterprise application architecture
• Distributed systems design
• Microservices and service-oriented architectures
• API strategy and integration patterns
• Event-driven architectures
• System scalability and performance optimization

• Technical strategy and roadmap development
• Cross-team collaboration and influence
• Architectural governance and standards
• Technical decision-making and tradeoff analysis
• Leading large-scale, complex technical initiatives

• Automated testing strategies
• Observability and monitoring
• Site reliability principles
• Secure software development practices
• Production readiness and operational excellence

• Cloud-native architectures
• CI/CD and Dev Ops practices
• Infrastructure automation
• Modern software engineering practices
• Developer productivity and platform engineering concepts

• Experience evaluating or implementing AI-assisted development tools
• Understanding of responsible AI practices and governance considerations
• Ability to identify practical AI use cases that improve engineering effectiveness

• Experience in healthcare technology, health tech, pharmacy technology, payer technology, or regulated industries.
• Familiarity with prior authorization workflows, healthcare interoperability, or healthcare…