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Lead Integrations Architect
Job in
Richmond, Henrico County, Virginia, 23234, USA
Listed on 2026-10-01
Listing for:
McKesson’s Corporate
Full Time
position Listed on 2026-10-01
Job specializations:
-
Software Development
Backend Developer, Software Architect
Job Description & How to Apply Below
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.
- Design, maintain, and govern Wellverse's core Spring Boot integration starters and shared libraries (e.g., Spring Security wiring, DTO patterns, custom serialization controls, CORS, header configuration templates, and Cloud Logging/Tracing instrumentation).
- Provide technical leadership, architectural oversight, and hands-on guidance to application teams across Wellverse, helping them build high-performance, resilient Spring Boot microservices.
- Conduct technical design reviews and pull request (PR) code reviews across integration services to enforce architectural standards, security controls, and optimal design patterns.
- Define CI/CD standards for Spring Boot services using Git Hub Actions, Git Hub Advanced Security (GHAS), container scanning/signing, GKE deployment gates, and automated testing frameworks.
- Own the Apigee X API gateway strategy, policy frameworks, and lifecycle management for all Wellverse APIs.
- Define and maintain standardized Apigee policies for OAuth 2.0 / JWT validation, rate limiting, quota management, threat protection, mTLS, and Client-t.
- Establish enterprise API standards including RESTful naming conventions, OpenAPI 3.x specifications, versioning strategies, error schemas, and pagination guidelines.
- Govern the centralized API registry and developer portal, ensuring clear ownership, documentation, and SLA tracking across all enterprise APIs.
- Own the target architecture for Google Managed Kafka, defining topic partitioning strategies, consumer group patterns, schema management (Apicurio/Avro/JSON Schema), and dead letter queue (DLQ) standards.
- Lead the architecture and workflow standards for managed file transfers, covering trading partner management, protocol configurations (SFTP, FTPS, AS2, HTTPS), PGP encryption, and Cloud Logging integration.
- Coordinate with Data Engineering and Platform teams to ensure Kafka-driven event pipelines and file transfer workflows meet enterprise reliability and latency SLAs.
- Serve as the lead solution architect for all integration efforts across Wellverse's SaaS and core enterprise stack (Salesforce, Snowflake, Databricks, Big Query, JDE ERP, HCM, and net-new platforms).
- Define and govern appropriate integration patterns - synchronous REST APIs for transactional flows, event-driven Kafka streaming for high-throughput async processing, and managed file transfers for batch exchanges.
- Produce comprehensive integration design documents, sequence diagrams, data flow diagrams, API specs, and Architecture Decision Records (ADRs).
- 12+ years of enterprise integration engineering experience, with at least 3 years in an architect or lead technical role.
- Expert-level Java and Spring Boot engineering capability, including Spring Boot 3.x, Spring Security 6.x, Spring MVC, Spring Data, REST API design, JPA/Hibernate, and custom Spring Boot starter development. Code-review level proficiency is required.
- Demonstrated experience designing, building, and maintaining shared common libraries, chassis frameworks, or internal developer platform (IDP) tooling for Java microservices.
- Hands-on experience with Apigee X or Apigee Edge for API lifecycle management, policy enforcement, mTLS, and developer portal management.
- Hands-on experience with Apache Kafka, Confluent Kafka, or Google Managed Kafka, including topic design, schema registry, producer/consumer patterns, and operational monitoring.
- Deep experience with GCP-native services (GKE, Cloud Run, Cloud SQL, Cloud Logging, Cloud Monitoring, Cloud Trace, IAM) and containerized deployments.
- Experience configuring and architecting MFT solutions, trading partner workflows, SFTP/AS2 protocols, and PGP key lifecycle management.
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