Lead Full Stack Engineer

Role overview

Lead Full Stack Engineer at Beckman Coulter Diagnostics

In DHR Enterprise AI Solutions, you will be responsible for designing, building and deploying scalable AI-enabled applications that create measurable business value across Danaher operating companies.

Responsibilities

• You will serve as a technical leader within multidisciplinary delivery teams, helping transform innovative AI capabilities into secure, reliable and production-ready solutions that can be adopted and scaled across the enterprise.
• Develop AI-enabled applications and user experiences that integrate advanced AI capabilities into business workflows, scientific processes and enterprise solutions.

Preferred qualifications and skills

• It would be a plus if you also possess previous experience in.

Employment details

• Location: Bangalore [Karnātaka] [India]

Application details

• Apply software engineering best practices, DevSecOps principles, observability standards and modern development approaches to ensure secure, reliable and maintainable applications.
• Delivering enterprise software modernisation, digital transformation or large-scale application development initiatives within complex business environments.

Additional role details

• Design, build and integrate scalable full-stack solutions leveraging modern front-end and back-end frameworks, cloud-native architectures, APIs, microservices and AI technologies.
• Integrate AI solutions with enterprise platforms, instruments, data sources and operational systems to create connected and scalable business capabilities.
• Partner with Product Owners, Architects, Platform, Data, AI Scientists and AI Engineers to deliver production-grade AI solutions and reusable application capabilities across Danaher.
• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Engineering or a related technical discipline. 8+ years of software engineering experience with demonstrated success building enterprise applications, cloud-native solutions and AI-enabled software products.
• Strong hands-on experience developing modern applications using technologies such as .NET/C#, Python, React, Angular, APIs, microservices and cloud services.
• Proven understanding of cloud-native architectures, distributed systems, CI/CD, DevSecOps practices and modern software engineering methodologies.
• Strong technical leadership, communication and problem-solving skills with the ability to guide delivery teams and collaborate across multiple technical disciplines.
• Building AI-enabled applications using Retrieval-Augmented Generation (RAG), agentic workflows, Enterprise Copilots, AI assistants or Generative AI technologies.
• Working with data engineering, analytics platforms, cloud-native AI services and enterprise data ecosystems.