Lead Software Development Engineering

McKesson•Irving, TX

1d•Hybrid

About The Position

This role is part of McKesson’s Ontada technology division, which develops innovative technology and data solutions for oncology care. The iKnowMed G2 platform is a cornerstone of our provider technology portfolio and all supporting applications including ontadahealth portal, Mobile, practice Insights, Clinical Content mgmt. and Value Based Care measures enabling community oncology practices to deliver high-quality, patient-centered care. As Lead Software Engineer, you will have the opportunity to provide architecture advancing a platform that directly impacts patient outcomes and the future of oncology healthcare. The Lead Software Engineer provides technical leadership and architecture guidance across multiple software engineering teams responsible for McKesson’s iKnowMed G2 platform, including Ontada Health Portal, Practice Insights, Clinical Content Mgmt, and Value-Based Care solutions that support thousands of clinicians across the United States in delivering cancer care. Operating in a highly regulated healthcare environment, this role designs and architects next-generation products, frameworks, and cloud-native platforms built on modern microservices architectures leveraging Java, Databricks, Oracle, PostgreSQL, MongoDB, APIs, and event-driven integration patterns. The Lead Software Engineer owns and drives solution and platform architecture for secure, scalable, reliable, and high-performing systems, including API-led connectivity, cloud-native integrations, and data exchange across Ontada products with familiarity in healthcare interoperability standards such as HL7/FHIR and SMART on FHIR considered a plus. Partnering closely with Senior Technology Managers, Technology Directors, Product Management, and cross-functional stakeholders, to develop the technology strategy based on business objectives while championing innovation, engineering excellence, and operational scalability. The Lead Software Engineer remains deeply engaged in developing the POCs, technical problem-solving, establishes and drives architectural standards, influences technology decisions across initiatives, and helps advance intelligent product experiences through AI/ML, NLP, LLM-enabled workflows, Retrieval-Augmented Generation (RAG) patterns, evaluation, and governance capabilities. Success in this role is measured by the adoption of architectural standards, the reliability and scalability of the platforms and integration ecosystem delivered, and the ability to influence outcomes and elevate engineering excellence across the organization.

Requirements

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.
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.

Nice To Haves

Master’s degree in a relevant technical field (e.g., M.S. in Computer Science, Software Engineering).
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.
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.

Responsibilities

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.
Lead architecture reviews, establish technology standards, and ensure solutions align with enterprise principles for scalability, security, reliability, performance, and maintainability.
Drive adoption of modern cloud platforms (Azure, AWS, GCP), containerization, Kubernetes, DevSecOps, and infrastructure-as-code to improve platform agility and operational excellence.
Architect secure and scalable integration solutions using REST APIs, messaging platforms, event-driven architectures, service buses, and healthcare interoperability standards where applicable.
Develop multi-year architecture roadmaps, evaluate emerging technologies, and guide investment decisions that align business objectives with long-term technology strategy.
Provide architectural guidance across engineering teams, and foster engineering excellence through design reviews, best practices, and technical governance.
Champion innovation through adoption of AI/GenAI, advanced analytics, automation, and modern engineering practices to accelerate business value and platform transformation.
Promote reliability, security, performance optimization, and continuous improvement through architecture best practices and operational governance.
Partner with engineering, product, security, and business leaders to align technology solutions with organizational priorities and communicate architectural decisions to executive stakeholders.
Evaluate technology platforms, cloud services, and strategic vendor partnerships to maximize business value, scalability, and operational efficiency.
Ensure architecture solutions meet regulatory, security, privacy, and compliance requirements, including healthcare standards and enterprise governance frameworks.
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.