Lead Full Stack Engineer
Role Overview
DHR Enterprise AI Solutions builds reusable AI solutions and accelerates business impact across Danaher operating companies.
The role designs, builds, and deploys scalable AI-enabled applications and provides technical leadership in multidisciplinary delivery teams.
Key Skills for This Role
Full Job Posting
Role overview
DHR Enterprise AI Solutions builds reusable AI solutions and accelerates business impact across Danaher operating companies.
The role designs, builds, and deploys scalable AI-enabled applications and provides technical leadership in multidisciplinary delivery teams.
Responsibilities
- Design, build, and integrate full-stack solutions using modern front-end and back-end frameworks, cloud-native architectures, APIs, microservices, and AI technologies.
- Develop AI-enabled applications and user experiences for business workflows, scientific processes, and enterprise solutions.
- Integrate AI solutions with enterprise platforms, instruments, data sources, and operational systems.
- Apply software engineering best practices, DevSecOps principles, and observability standards to build secure, reliable, maintainable applications.
- Partner with Product Owners, Architects, Platform, Data, AI Scientists, and AI Engineers to deliver production-grade and reusable solutions.
Essential requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related technical discipline.
- At least 8 years of software engineering experience building enterprise applications, cloud-native solutions, and AI-enabled software products.
- Hands-on application development experience with technologies such as .NET/C#, Python, React, Angular, APIs, microservices, and cloud services.
- Understanding of cloud-native architectures, distributed systems, CI/CD, DevSecOps, and modern software engineering methodologies.
- Technical leadership, communication, and problem-solving skills; able to guide teams and collaborate across technical disciplines.
Preferred experience
- AI-enabled applications using RAG, agentic workflows, enterprise copilots, AI assistants, or generative AI are a plus.
- Data engineering, analytics platforms, cloud-native AI services, and enterprise data ecosystems are a plus.
- Enterprise software modernization, digital transformation, or large-scale application development in complex business environments is a plus.
Work arrangement
- The position is eligible for a remote work arrangement from the employee's home.
- Additional information about the remote arrangement is provided during the interview process.
Benefits
- Danaher describes comprehensive benefit programs, including healthcare and paid time off.
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