Senior Full Stack Engineer

Brighter Signals; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Johnson & Johnson is seeking a Senior Full Stack Engineer in Singapore to build AI-powered healthcare platforms. You will deliver modern digital solutions using full stack technologies and Generative AI, collaborating with product, design, and business stakeholders to prototype, build, and scale impactful software.

You will shape how AI transforms products, influence developer productivity, testing automation, and code workflows, while maintaining high standards of code quality and security

Qualifications

• 4–8 years of experience building production-grade web apps.
• Strong full stack experience frontend + backend.
• Experience with cloud platforms (AWS preferred).
• Hands-on experience integrating LLM APIs or AI-powered features.
• Familiarity with LangChain, LangGraph, or similar frameworks.
• Experience using AI-assisted coding tools.

Responsibilities

• Design, build, and maintain scalable web apps using Node.js/TypeScript/React/Python.
• Develop and maintain RESTful or GraphQL APIs and third-party service integrations.
• Create responsive, accessible UI components with modern UX patterns.
• Design data models using SQL and NoSQL databases.
• Deploy and operate apps in AWS with scalability and observability.

Skills

Full stack development

AWS

LLM integration

LangChain

LangGraph

AI-assisted coding tools

Tools

LangChain

LangGraph

AI tooling

Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function

Technology Product & Platform Management

Job Sub Function

Software Engineering – Full Stack

Job Category

Scientific/Technology

All Job Posting Locations:

Singapore, Singapore

Job Description

About Us

At Johnson & Johnson, we're passionate about empowering people to grow their careers while making a meaningful impact on healthcare. As part of our TS APAC Digital and Connected Commerce team, you'll be at the forefront of innovation—building scalable, AI-powered platforms that connect healthcare

professionals with J&J products and ultimately improve patient outcomes at scale.

Role Overview

We are seeking a Senior Full Stack Engineer who not only builds AI-powered applications but also leverages AI as a core part of their development workflow. This is a hands-on engineering role focused on delivering modern digital healthcare solutions using full stack technologies and Generative AI.

You will operate in a fast-paced, highly collaborative Agile environment, partnering with product, design, and business stakeholders to rapidly prototype, build, and scale impactful solutions.

You will play a key role in shaping how AI transforms both our products and the way we build software—including developer productivity, testing automation, and spec-to-code workflows.

Key Responsibilities

• Design, build, and maintain scalable web applications using Node.js, TypeScript, React, and/or Python.
• Develop and maintain RESTful or GraphQL APIs and integrate third-party services.
• Build responsive, accessible, and reusable UI components with modern UX patterns (e.g., real-time updates, streaming interfaces).
• Design and manage data models using SQL and NoSQL databases.
• Deploy and operate applications in AWS, following best practices for scalability, reliability, and observability.
• Work with modern architectures including serverless, microservices, and containerized environments.
• Integrate LLM APIs (e.g., OpenAI, Anthropic, Bedrock) into applications.
• Build AI-driven features such as search, summarization, recommendation, and conversational
• interfaces.
• Utilize frameworks such as LangChain, LangGraph, or similar orchestration tools.
• Prototype and evaluate new AI capabilities, rapidly iterating with an experimentation mindset toward production-ready, AI-first solutions.
• Leverage AI-assisted development (e.g., GitHub Copilot, Amazon Kiro, or similar) to accelerate coding, debugging, and testing.
• Practice AI-paired programming (human-in-the-loop development with LLMs; “vibe coding”), iterating with LLMs to rapidly prototype and refine solutions.
• Apply spec-driven development, translating product requirements into structured prompts, schemas (e.g., OpenAPI/JSON), or executable specifications for AI-assisted implementation.
• Use AI for generating unit/integration tests, documentation, and code reviews to improve quality and velocity, with human validation and quality gates.
• Continuously evaluate and adopt emerging AI developer tools and workflows, with a focus on measurable improvements in developer productivity, code quality, and delivery speed.
• Write clean, maintainable, and well-tested code.
• Participate in code reviews, technical design discussions, and Agile ceremonies.
• Collaborate with cross-functional teams across business and technology domains.
• Contribute to a culture of continuous improvement, experimentation, and learning.

Must Have

• 4–8 years of experience developing and deploying production-grade web applications.
• Strong full stack experience (frontend + backend) building scalable systems.
• Experience with cloud platforms (AWS preferred).
• Hands-on experience integrating LLM APIs or AI-powered features into applications.
• Familiarity with frameworks such as LangChain, LangGraph, or similar.
• Experience using AI-assisted coding tools