Software Engineer
- Lead Development Lifecycle: Drive design, development, testing, deployment, and maintenance of complex enterprise-grade applications across multiple platforms.
- Technical Leadership: Mentor junior engineers, conduct code reviews, and foster a culture of technical excellence and continuous improvement.
- Collaborate Across Teams: Partner with product owners, architects, and cross-functional teams to translate business requirements into technical designs and user stories.
- Architectural Contributions: Participate in architectural discussions and help shape McKesson’s technology roadmap.
- Quality & Performance: Implement automated testing frameworks, CI/CD pipelines, and ensure security, scalability, and performance of applications.
- Problem Solving: Troubleshoot and resolve software defects and production issues efficiently.
- Innovation: Stay current with emerging technologies, evaluate new tools, and recommend best practices to enhance development processes.
- Agile Engagement: Actively participate in agile ceremonies, including sprint planning, stand-ups, and retrospectives.
- Languages: Java, C#, Python, JavaScript/TypeScript
- Frameworks: Spring Boot, .NET Core, Angular, React
- Cloud Platforms: Microsoft Azure (primary), AWS, Google Cloud
- Data Technologies: SQL Server, PostgreSQL, Snowflake, Redis; familiarity with NoSQL (MongoDB, Cassandra)
- Integration & APIs: RESTful services, GraphQL, FHIR, HL7
- DevOps & CI/CD: Azure DevOps, Jenkins, Docker, Kubernetes
- Testing: JUnit, NUnit, Selenium, Postman
- Version Control: Git (GitHub, Bitbucket)
- AI/ML (Preferred): TensorFlow, PyTorch, Scikit-learn, Azure Machine Learning
- Domain Expertise: Specialty pharmacy workflows, patient engagement platforms, healthcare IT standards
- Bachelor’s degree in Computer Science, Software Engineering, or related field; Master’s preferred.
- 5+ years of progressive software development experience, including enterprise-level applications.
- Strong understanding of software design patterns, data structures, and algorithms.
- Experience in Agile/Scrum environments.
- Proven experience with cloud platforms and modern frameworks.
- Excellent problem-solving, analytical, and communication skills.
- Ability to lead projects and mentor team members effectively.
- Previous experience in specialty pharmacy and/or HUB services is a plus.
- Exposure to AI/ML concepts for predictive analytics and automation.
- Knowledge of healthcare IT standards (FHIR, HL7).
- Opportunity to impact patient care and healthcare innovation.
- Collaborative, inclusive, and growth-oriented culture.
- Competitive compensation and benefits package.
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