Sr. Associate Software Developer - Intelligent Systems & Integrations

McKesson-posted 2 months ago
$81,800 - $136,300/Yr
Full-time • Mid Level
Richmond, VA
1,001-5,000 employees
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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.

  • 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.
  • 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.
  • 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.
  • Competitive compensation package including base pay and potential bonuses.
  • Annual bonus or long-term incentive opportunities.
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