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.
Ontadais an oncology data science and technology business dedicated to transforming the fight against cancer. We specialize in real-world data and evidence generation that accelerates life science research, clinical technologies that support community providers with precise care, and provider engagement channels that enable education and insights.
We are hiring anIT Architect to define and drive cloud-native integration architecture acrossOntadaproducts and partner ecosystems. This role owns solution and platform architecture for API-led connectivity, event-driven integration, and secure data exchange—ensuring our systems are scalable, reliable, observable, and straightforward to evolve. Familiarity with healthcare interoperability standards (HL7/FHIR, including SMART on FHIR) is a plus for certain partner pathways, but the primary focus is strong enterprise-architecture fundamentals applied to modern cloud-native integration models.
Success in this role is measured by the clarity and adoption of your reference architectures and standards, the reliability and scalability of the integration ecosystem you enable, and your ability to influence decisions across multiple initiatives while mentoring and elevating engineering teams. Familiarity with AI/ML and NLP capabilities used in products (e.g., LLM-enabled workflows, retrieval patterns, evaluation, and governance) is a plus asOntadaexpands intelligentexperiences, butis not the core requirement.
Cloud-Native Integration:API-led connectivity, event-driven architecture, pub/sub, schema management, idempotency, retries, backpressure
APIs:RESTful services,OpenAPI/Swagger, API gateways, versioning and contract-first design
Messaging:Kafka (or equivalent), queues/streams, event schema design
Platform Patterns:Microservices, containerization (Docker), service discovery, configuration management; service mesh (where applicable)
Data & Performance:Oracle and relational databases; Redis (caching); Elasticsearch; analytics/pipelines (e.g., Databricks)
Interoperability (nice to have):HL7v2, FHIR (R4+), SMART on FHIR, OAuth2/OIDC, C-CDA
Observability:Logging, metrics, distributed tracing (e.g., Dynatrace)
Cloud & Platforms:Azure, AWS, GCP, Cloud Foundry
Engineering Practices:CI/CD, automated testing, code reviews, architecture documentation
Architecture Leadership & Strategy
Partner with Product Owners, Sales, Business Analysts, Quality Assurance, and Project Management to translate functional and non-functional requirements into target architectures and delivery plans.
Define architecture standards, reference implementations, and guardrails for APIs, integration patterns, security, and operational readiness.
Cloud-Native Integration Architecture
Define and governintegrationreference architectures across APIs, events, and asynchronous workflows (request/response, pub/sub, choreography vs. orchestration).
Establish platform patterns and guardrails for API gateways, service-to-service communication, schema/version management, and contract testing.
Design for resiliency and performance using proven patterns (timeouts, retries, circuit breakers, bulkheads, idempotency, caching) andalignto SLOs/SLAs.
Guideevent-driven integration (e.g., Kafka or equivalent) with well-defined event schemas, lifecycle management, and operational controls.
Collaborate with security and platform teams to ensure secure-by-default integration approaches (OAuth2/OIDC, least privilege,secretsmanagement, threat modeling).
Healthcare Interoperability (Optional) & Partner Integrations
When applicable, drive design for healthcare data exchange leveraging HL7v2 and/or FHIR (R4+), including SMART on FHIR, to enable integrations with EMRs and partner systems.
Operational Excellence & Production Ownership
Demonstrate strong architectural ownership in production operations to address customer needs for support, issue analysis, enhancements, and corrective actions.
Evolve software systems, infrastructure, and architecture to support growth, SLAs, availability, and continued operation.
Drive operational readiness practices including observability, runbooks, incident response, and post-incident improvements.
AI Enablement (Preferred)
Partner with product and engineering teams toidentifyand deliver AI-enabled capabilities, from discovery and design through deployment, monitoring, and continuous improvement.
Guide architecture patterns for integrating model services into cloud-native systems (APIs, events, data pipelines) withappropriate security, privacy, and compliance controls.
PromoteMLOps/LLMOpspractices (versioning, CI/CD, automated testing, observability, rollback) and responsible AI governance.
Minimum Requirement
Degree or equivalent and typically requires 7+ years of relevant experience.
Bachelor’s degree in computer science, Software Engineering, Information Systems, or equivalent practical experience.
Critical Skills
7+ years of software engineering experience, including 4+ yearsinarchitecture (solution, platform, or enterprise) with ownership across multiple systems.
Strong technical fundamentals in cloud-native architecture (microservices, containers, resiliency patterns, observability) on Azure, AWS, or GCP.
Experience designing andoperatinglarge-scale, multi-tenant services with reliability, scalability, and security best practices.
Optional/nice tohave:hands-on experience with FHIR (profiles, implementation guides, SMART on FHIR) and/or HL7v2, including conformance and integration testing.
Experience with messaging and integration platforms (Kafka, service bus/queues, stream processing) and caching technologies (e.g., Redis).
You haveestablishedand socialized a target-state cloud-native integration architecture, with clear standards for APIs, events, resiliency, and security.
You have delivered at least one end-to-end initiative (design through production) for a key integration capability (e.g., event streaming, API modernization, partner onboarding accelerator).
You own and continuously improve the integration architecture across multiple products and partner pathways, with measurable gains in reliability, scalability, and onboarding speed.
You have matured governance forintegrationassets (API standards, event schemas, implementation guides where applicable, and conformance testing) and created a repeatable delivery playbook across the SDLC.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, (opens in new window)
Our Base Pay Range for this position
$133,100 - $221,900
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