Lead Developer

As a Senior Lead Full Stack Engineer, you will architect the highly scalable, cloud-native data platforms that power our Disease Intelligence Analytics Productscritical tools that help researchers, clinicians, scientists, and business leaders make faster, more confident decisions. You’ll help build the engine behind products used to accelerate drug discovery, evaluate treatment effectiveness, model patient journeys, and bring life-saving innovations to market. 

This is an opportunity to build systems that not only drive next-generation AI, but also create measurable impact in healthcare and life sciences globally 

If you're passionate about building enterprise-scale platforms, modern UI frameworks, microservices, and AI-ready applications—this role is for you.

About You – experience, education, skills, and accomplishments

• Bachelor’s / Master degree in Computer Science, Engineering, or related field, With 7 years of full-stack engineering experience delivering production applications. 
• Strong expertise in Angular (architecture, state management, performance optimization). 
• Solid hands-on experience building Python-based APIs (FastAPI, Flask,etc.). 
• Solid hands-on experience building JAVA APIs (Springboot). 
• Deep understanding of building scalable, cloud-native web applications on AWS. 
• Experience integrating AI/GenAI workflows into applications (LLMs, vector search, embeddings, model inference). 
• Strong fundamentals in software design patterns, clean architecture, microservices, CI/CD, and DevOps. 

It would be great if you also have:

•  RAG pipelines, LangChain, Bedrock, OpenAI APIs 

What will you be doing in this role?

• Architect front-end and back-end modules for scalable enterprise applications and Lead Angular application development with best practices around architecture, code quality, and performance. 
• Design and implement Java/Python microservices and REST APIs powering AI and analytics workflows. 
• Build cloud-native application components using modern AWS services and partner with AI/ML engineers to integrate GenAI capabilities into the platform. 
• Build interfaces, APIs, and workflows for LLM features such as summarization, insights extraction, and intelligent search. 
• Evaluate new AI technologies and recommend integration strategies. 
• Drive end-to-end architecture decisions across frontend, backend, and cloud components. 
• Work closely with Product, UX, Data Science, and Engineering leadership. 
• Deliver features in an Agile environment with strong emphasis on quality and velocity.