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About the Role

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. 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.

Responsibilities

Define and drive the technology vision, architecture strategy, and modernization roadmap for enterprise platforms.
Lead architecture reviews, establish technology standards, and ensure solutions align with enterprise principles.
Drive adoption of modern cloud platforms, containerization, DevSecOps, and infrastructure-as-code.
Architect secure and scalable integration solutions using REST APIs, messaging platforms, and event-driven architectures.
Develop multi-year architecture roadmaps, evaluate emerging technologies, and guide investment decisions.
Provide architectural guidance across engineering teams, and foster engineering excellence.
Champion innovation through adoption of AI/GenAI, advanced analytics, and automation.
Promote reliability, security, performance optimization, and continuous improvement.
Partner with engineering, product, security, and business leaders to align technology solutions.
Evaluate technology platforms, cloud services, and strategic vendor partnerships.
Ensure architecture solutions meet regulatory, security, privacy, and compliance requirements.
Influence enterprise technology direction, drive digital transformation initiatives, and deliver measurable outcomes.
Drive AI adoption by delivering scalable LLM, NLP, and RAG solutions.
Establish secure, compliant, and reliable AI operations through MLOps/LLMOps and responsible AI practices.

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.
Advanced Credentials: 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.
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.

Skills

Java
Databricks
Oracle
PostgreSQL
MongoDB
APIs
Event-driven integration patterns
HL7/FHIR
SMART on FHIR
Spring Boot
Microservices
Cloud-native architecture
Large-scale enterprise platforms
REST APIs
API gateways
Kafka
Messaging
Enterprise integration patterns
Azure
AWS
GCP
Docker
Kubernetes
Infrastructure as Code
Observability
Resiliency patterns
DevSecOps
CI/CD
Test automation
Architecture governance
Engineering best practices
Relational databases
Caching
Search technologies
Analytics platforms
AI/GenAI
LLMs
Prompt Engineering
RAG architectures
MLOps/LLMOps
Responsible AI practices
Healthcare interoperability

Location

Las Colinas

Work Type

Hybrid

Experience Level

10+ years of software engineering experience
5+ years of architecture and technical leadership

Education Level

Degree or equivalent
Master’s degree in a relevant technical field

Salary/Compensations

$163,100 - $271,800

Benefits

Competitive compensation package
Annual bonus opportunities
Long-term incentive opportunities

About the Company

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.
We foster a culture where you can grow, make an impact, and are empowered to bring new ideas.
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.

Equal Opportunity

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.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities.