Lead Software Development Engineering

McKesson is a healthcare company that provides products, services, insights, and technology solutions to improve patient care. The Lead Software Engineer provides technical leadership and architecture guidance across software engineering teams supporting oncology platforms, cloud-native systems, enterprise integrations, and healthcare data solutions. The role also drives AI/ML, NLP, LLM, RAG, MLOps, and responsible AI initiatives while ensuring secure, scalable, reliable, and compliant platforms.

Responsibilities:

• Architecture Leadership: Define and drive the technology vision, architecture strategy, and modernization roadmap for enterprise platforms, leveraging cloud-native architectures, microservices, APIs, event-driven systems, and platform engineering practices
• Solution Design & Governance: Lead architecture reviews, establish technology standards, and ensure solutions align with enterprise principles for scalability, security, reliability, performance, and maintainability
• Cloud & Platform Modernization: Drive adoption of modern cloud platforms (Azure, AWS, GCP), containerization, Kubernetes, DevSecOps, and infrastructure-as-code to improve platform agility and operational excellence
• Enterprise Integration: Architect secure and scalable integration solutions using REST APIs, messaging platforms, event-driven architectures, service buses, and healthcare interoperability standards where applicable
• Technology Strategy & Roadmaps: Develop multi-year architecture roadmaps, evaluate emerging technologies, and guide investment decisions that align business objectives with long-term technology strategy
• Technical Leadership: Provide architectural guidance across engineering teams, and  foster engineering excellence through design reviews, best practices, and technical governance
• Innovation & Emerging Technologies: Champion innovation through adoption of AI/GenAI, advanced analytics, automation, and modern engineering practices to accelerate business value and platform transformation
• Operational Excellence: Promote reliability, security, performance optimization,  and continuous improvement through architecture best practices and operational governance
• Stakeholder Engagement: Partner with engineering, product, security, and business leaders to align technology solutions with organizational priorities and communicate architectural decisions to executive stakeholders
• Technology Management: Evaluate technology platforms, cloud services, and strategic vendor partnerships to maximize business value, scalability, and operational efficiency
• Compliance & Risk Management: Ensure architecture solutions meet regulatory, security, privacy, and compliance requirements, including healthcare standards and enterprise governance frameworks
• Organizational Impact: Influence enterprise technology direction, drive digital transformation initiatives, and deliver measurable outcomes through scalable, secure, and innovative technology solutions
• Drive AI adoption by delivering scalable LLM, NLP, and RAG solutions that accelerate business outcomes
• Establish secure, compliant, and reliable AI operations through MLOps/LLMOps and responsible AI practices

Requirements:

• Degree or equivalent and typically requires 10+ years of relevant experience
• 10+ years of software engineering experience, including 5+ years of architecture and technical leadership across complex, distributed systems
• Deep expertise in Java, Spring Boot, microservices, cloud-native architecture, and large-scale enterprise platforms
• Strong experience with REST APIs, API gateways, event-driven architectures, Kafka, messaging, and enterprise integration patterns
• Hands-on expertise in Azure, AWS, or GCP, including Docker, Kubernetes, Infrastructure as Code, observability, and resiliency patterns
• Proven track record designing and operating secure, scalable, highly available, multi-tenant applications with strong focus on performance, reliability, and operational excellence
• Experience with DevSecOps, CI/CD, test automation, architecture governance, and engineering best practices
• Strong knowledge of relational databases, caching, search technologies, and analytics platforms
• Ability to lead architecture decisions, mentor engineering teams, and influence stakeholders through clear communication and technical leadership
• Familiarity with AI/GenAI technologies including LLMs, Prompt Engineering, and RAG architectures
• Knowledge of security, compliance, and regulated environments; healthcare interoperability (FHIR, HL7, SMART on FHIR) is a plus
• Strong awareness of emerging trends in software engineering and cloud technologies, demonstrating a commitment to continuous learning and technical excellence
• Experience managing relationships with third-party vendors and partners
• Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future
• • Advanced Credentials: Master's degree in a relevant technical field (e.g., M.S. in Computer Science, Software Engineering)
• • Healthcare & Enterprise Experience: Prior experience leading technology teams in healthcare IT, clinical software, or other highly regulated environments is strongly preferred. Experience modernizing legacy enterprise systems (e.g., monolith-to-microservices transformation, cloud migration) is a plus