Senior Engineer - Full Stack Developer

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Key Responsibilities Hands-on design, development, deployment and lifecycle support of custom and COTS applications across the EMES scope above, used by Pharmaceutical Development within Global Product Development & Supply. Use Claude and GitHub Copilot as a core part of day-to-day engineering to accelerate delivery, while retaining full ownership of code quality, security, validation and maintainability. Build reusable AI solutions, agents and workflow automations that remove repetitive effort from the MES development and support lifecycle (code and test generation, document authoring, defect triage, validation deliverables). Drive AI adoption across the MES team and partner teams – run technical workshops and office hours, mentor engineers on prompting and AI best practices, and contribute to the Innovation/AI Community of Practice. Design, build and migrate workloads on AWS in support of cloud migration and next-generation manufacturing systems. Evaluate emerging AI and cloud technologies, develop proofs of concept, and measure adoption and productivity improvements against agreed metrics. Deliver project implementations and day-to-day operational support within a validated, GxP-regulated environment, including the associated CSV deliverables. Collaborate directly with business clients, IT Business Partners, site teams and other IT functions, and act as a functional mentor to more junior engineers. Required Qualifications & Skills Bachelor’s or Master’s degree in computer science, Information Technology, Engineering, AI/Machine Learning or a related field, with 4-6 years of hands-on software engineering experience. Full stack – 4+ years building web applications using JavaScript/TypeScript with React and Node.js, plus Python for automation and AI-enabled services. AI-assisted engineering – demonstrable hands-on use of Claude (including Claude Code), GitHub Copilot or comparable assistants to build enterprise-grade production software, including prompt and context engineering, AI-assisted refactoring, test generation and documentation. AI enablement – experience building reusable AI assets (prompt libraries, agents, workflow automations, MCP-based integrations) and helping engineering teams adopt them. AWS – 3+ years designing and deploying solutions using services such as EC2, ECS/EKS, Lambda, S3, RDS, API Gateway, IAM and CloudWatch, with infrastructure-as-code and cloud migration experience.