Senior Full Stack Engineer

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .

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.

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Job Description:

We are searching for the best talent for Senior Full Stack Engineer.

Purpose: The Senior Full Stack Engineer will not only build AI-powered applications but also leverage 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 softwareincluding developer productivity testing automation and spec-to-code workflows.

You will be responsible for:

• Design build and maintain scalable web applications using 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.

Qualifications / Requirements:

Must Have:

• 48 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 mindsetfrom 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.

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