Sr. Associate Software Developer - Intelligent Systems & Integrations

McKesson Corporation • Richmond, VA

62d

About The Position

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. Position Summary Mckesson Corporation is seeking dynamic and technically proficient Senior Associate Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, Kafka, and AI technologies. This role is ideal for someone with 2+ years of experience and a degree or equivalent in a technical field, who is passionate about building scalable, intelligent, and interconnected systems. You will be part of a collaborative team driving innovation through distributed systems and intelligent automation.

Requirements

• Typically requires 2+ years of relevant experience.
• Strong proficiency in programming languages such as Java, JavaScript, Python, or Go.
• Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
• Solid understanding of RESTful APIs, asynchronous messaging, and service orchestration.
• Familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strong problem-solving and debugging skills.
• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).

Nice To Haves

• Experience in healthcare or supply chain domain.
• Experience with CI/CD tools and DevOps practices.
• Knowledge of data streaming, and real-time analytics.
• Exposure to MLOps and model lifecycle management.
• Certifications in cloud, Kafka, or AI technologies.

Responsibilities

• Design, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies.
• Build and manage real-time data pipelines and event-driven architectures using Apache Kafka.
• Integrate internal and external systems through APIs, messaging queues, and middleware platforms.
• Collaborate with data scientists and AI engineers to embed machine learning models into production environments.
• Ensure high performance, scalability, and reliability of distributed systems.
• Monitor and troubleshoot production systems, ensuring high availability and fault tolerance.
• Participate in agile development processes, including sprint planning, code reviews, and CI/CD.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Merchant Wholesalers, Nondurable Goods
• Number of Employees: 5,001-10,000 employees