Senior Software Developer

McKesson Corporation is seeking a talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, Data Stage, 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 Data Stage.
• 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.

• 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 Tensor Flow, 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).

• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).

Please note that only candidates authorized to work in the US will be considered for this position. Sponsorship is not available.