McKesson
Healthcare Technology
ManagerSoftwareEngineering
“Manager - Software Engineering at McKesson. Skills: Full-stack development, People Leadership, AI-First Engineering. Lead and grow engineering team. Drive delivery of software”
What You'll Achieve.
Improve engineering velocity; Reduce repetitive work; Accelerate testing; Accelerate documentation; Deliver high-quality features; Achieve high ownership; Achieve low defect leakage; Improve speed without lowering standards
Industry & Context.
Debugging; Production issue handling; Root cause analysis
What They're Looking For.
Must Have
10-15 years software engineering experience, 3-5 years engineering management experience, Hands-on Java + Spring Boot, Hands-on React.js + TypeScript, Experience with distributed systems, Experience with microservices architecture, Experience with SQL databases, Experience with event-driven systems, Experience with debugging, Experience with production issue handling, Proven track record hiring engineers, Proven track record managing teams, Proven track record mentoring teams, Proven track record delivering complex projects, Practical use of AI coding assistants, Ability to review AI-generated code, Ability to validate AI-generated code, Ability to production-harden AI code, Engineering discipline in AI-assisted environment
Nice to Have
Healthcare domain experience, Familiarity with FHIR standards, Familiarity with HL7 standards, Familiarity with C-CDA standards, Familiarity with HIPAA compliance, Familiarity with PHI handling, Familiarity with PII handling, Experience with Databricks, Experience with data pipelines, Experience with Elasticsearch, Experience with Redis, Experience with Docker, Experience with Kubernetes
What You'll Do.
Lead and grow engineering team
Drive delivery of software
Manage sprint commitments
Manage delivery predictability
Establish engineering culture
Promote accountability
Promote clean code practices
Promote design discipline
Participate in system design
Participate in architecture decisions
Participate in API design
Participate in microservices standards
Guide teams on Java architecture
Guide teams on Spring Boot architecture
Guide teams on microservices architecture
Guide teams on event-driven systems
Guide teams on scalable frontend design
Guide teams on TypeScript
Ensure systems meet scalability expectations
Ensure systems meet performance expectations
Ensure systems meet security expectations
Ensure systems meet reliability expectations
Deep-dive into design
Drive adoption of AI tools
Improve engineering velocity
Reduce repetitive work
Accelerate documentation
Establish guardrails for AI usage
Encourage AI-assisted testing
Encourage AI-assisted debugging
Encourage building observable systems
Build high-performance culture
Develop technical growth
Develop career progression
Develop ownership mindset
Correct low performance
Manage offshore collaboration
Manage onshore collaboration
Own end-to-end delivery
Deliver backend services
Deliver UI integrations
Enforce CI/CD discipline
Enforce testing rigor
Enforce release quality standards
Partner with Product Managers
Partner with QA teams
Partner with DevOps teams
Partner with Platform teams
How You'll Work.
Team & Collaboration
Partner with Product Managers; Partner with QA teams; Partner with DevOps teams; Partner with Platform teams
Process & Methodology
Sprint commitments, Risk management, Delivery predictability, CI/CD discipline, Testing rigor
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