Software Developer - Intelligent Systems & Integrations

McKesson-posted 2 months ago
$99,600 - $166,000/Yr
Full-time • Mid Level
Richmond, VA
5,001-10,000 employees
Merchant Wholesalers, Nondurable Goods
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McKesson Corporation is seeking a talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, DataStage, Apache Kafka, and Artificial Intelligence (AI). This role is ideal for someone with 4+ years of hands-on development experience who thrives in a fast-paced, innovation-driven environment. You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making.

  • Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies.
  • Design and implement real-time data streaming solutions using Apache Kafka.
  • Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware.
  • Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation.
  • Develop and maintain ETL pipelines using IBM DataStage.
  • Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle.
  • Ensure high performance, scalability, and reliability of distributed systems.
  • Participate in agile development processes, including sprint planning, code reviews, and CI/CD.
  • Monitor and troubleshoot production systems, ensuring uptime and responsiveness.
  • Typically requires 4+ years of relevant experience.
  • Strong proficiency in programming languages such as Java, JavaScript, Python, or Go.
  • Hands-on experience with microservices architecture and containerization (Docker, Kubernetes).
  • Experience with cloud platforms (GCP, Azure, AWS).
  • Proficient in ETL development, Oracle performance tuning, and complex SQL.
  • Deep understanding of Apache Kafka for event-driven and real-time data processing.
  • Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Strong problem-solving skills and ability to work independently and in teams.
  • Experience in healthcare or supply chain domain.
  • Strong analytical and problem-solving skills.
  • Knowledge of API gateways, service mesh, and observability tools.
  • Experience with MLOps and deploying AI models in production environments.
  • Certifications in cloud, Kafka, or AI technologies.
  • Exposure to data engineering and big data tools (e.g., Spark, Flink).
  • Competitive compensation package including base pay and potential bonuses.
  • Comprehensive benefits package including health insurance, retirement plans, and more.
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