Lead Full Stack Engineer
Beckman Coulter Diagnostics (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy scalable full-stack AI-enabled applications integrating front-end, back-end, cloud-native architectures, APIs, and microservices.
- Lead technical delivery within multidisciplinary teams to transform AI capabilities into secure, reliable, production-ready, and scalable enterprise solutions.
- Collaborate with Product Owners, Architects, AI Scientists, and Engineers to deliver reusable AI solutions and integrate them with enterprise systems and operational workflows.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Engineering, or related technical discipline.
- At least 8 years of software engineering experience building enterprise applications, cloud-native solutions, and AI-enabled software products.
- Strong hands-on experience with .NET/C#, Python, React, Angular, APIs, microservices, and cloud services.
- Proven knowledge of cloud-native architectures, distributed systems, CI/CD, DevSecOps practices, and modern software engineering methodologies.
Ideal Candidate Profile
- Experienced technical leader capable of guiding multidisciplinary delivery teams on AI-enabled enterprise applications.
- Strong practitioner in modern full-stack development with embedded AI technologies and cloud-native design.
- Familiarity with AI domains such as Generative AI, Retrieval-Augmented Generation, and integrating AI in enterprise data ecosystems and workflows.