Senior Full Stack Engineer

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.

Experiences

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 (e.g., Copilot, Amazon, Kiro) in day-to-day development.

Experience with prompt engineering and evaluation of LLM outputs.

Strong understanding of modern software engineering practices (Git workflows, code reviews, CI/CD, Agile).

Excellent problem-solving, debugging, and communication skills.

Good to Have

Experience with real-time systems (WebSockets, SSE, streaming APIs).

Exposure to containerization (Docker, Kubernetes) or serverless architectures.

Experience with CI/CD and automation tools (e.g., Jenkins, Argo).

Experience building mobile applications or PWAs.

Understanding of performance optimization, scalability, and web security.

What Sets This Role Apart

This role offers the opportunity to shape AI-native engineering practices and developer workflows within a global enterprise while operating with an experimentation mindset, from problem framing through prototyping, iteration, and scaling successful solutions. You will influence how AI is embedded into day-to-day engineering workflows, not just product features, and contribute to a culture that values continuous learning, curiosity, and GenAI fluency across teams, ultimately building solutions that directly impact millions of patients and healthcare professionals.

Required Skills:

Preferred Skills:

Agility Jumps, Analytical Reasoning, Coaching, Continuous Integration and Continuous Deployment (CI/CD) Pipeline, Critical Thinking, Full Stack Development, Human-Computer Interaction (HCI), Requirements Analysis, Software Architectures, Software Development Management, Software Engineering Practices, Software Quality Assurance (SQA), Tactical Thinking, Technical Writing, Technologically Savvy