Lead Software Development Engineering

Overview As Lead Software Engineer, you will guide architecture and technical strategy for McKesson’s Ontada iKnowMed G2 platform and related oncology solutions. You’ll shape cloud-native, microservices-based systems that support thousands of clinicians and improve patient care. You’ll partner with cross-functional leaders to drive modernization, enable secure data exchange, and advance AI-enabled product experiences. This is a chance to impact oncology technology at scale within a regulated health environment. Compensation / Benefitshybrid work arrangementcompetitive base payannual bonus or long-term incentivesTotal Rewardscareer growth opportunitiessupportive, impact-driven culture ResponsibilitiesDefine technology vision and modernization roadmap for enterprise platformsLead architecture reviews and establish standards for security, reliability, performance, and maintainabilityDrive cloud platform modernization (Azure/AWS/GCP), containers, Kubernetes, DevSecOps, and infrastructure-as-codeArchitect secure, scalable integration using REST APIs, event-driven patterns, messaging, and healthcare interoperability standardsDevelop multi-year architecture roadmaps and evaluate emerging technologies to align with business objectivesProvide architectural leadership across engineering teams and promote governance and best practicesChampion AI/GenAI adoption (LLM, NLP, RAG) and responsible AI practicesFocus on operational excellence, reliability, and performance optimizationEngage stakeholders across engineering, product, security, and business to communicate decisionsAssess technology platforms and vendor partnerships to maximize value and scalabilityEnsure compliance with healthcare security, privacy, and governance standardsDrive digital transformation through scalable, secure technology solutionsContribute to secure AI operations via MLOps/LLMOps Key requirements10+ years software engineering experience5+ years architecture and technical leadership across distributed systemsDeep Java, Spring Boot, microservices, cloud-native architecture experienceStrong REST APIs, API gateways, event-driven architectures, Kafka, messaging skillsHands-on Azure/AWS/GCP experience with Docker, Kubernetes, IaC, observability, resiliencyProven ability to design and operate secure, highly available, multi-tenant appsExperience with DevSecOps, CI/CD, test automation, governanceRelational databases, caching, search, and analytics familiarityAbility to lead architectural decisions and mentor teamsKnowledge of AI/GenAI, LLMs, Prompt Engineering, RAGFamiliarity with healthcare interoperability (FHIR, HL7, SMART on FHIR) is a plusDrive AI adoption with scalable LLM, NLP, and RAG solutionsMLOps/LLMOps and responsible AI practicesstrong communication and stakeholder managementleadership and mentorshipproblem-solving and architectural judgmentJavaSpring Bootmicroservices