Level

Johnson & JohnsonPosted 4w ago

Eng RD Soft Eng

Eng RD Soft Eng at Johnson & Johnson scores 53 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

Hyderabad, Andhra Pradesh, IndiamidFull time

AI in this role

claudeclaude-code

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:

R&D Product Development

Job Sub Function:

R&D Software/Systems Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Hyderabad, Andhra Pradesh, India

Job Description:

Job Description

The Senior Analyst/Application Developer for R&D Technology is responsible for developing and delivering solutions that support next-generation R&D capabilities across small molecules, peptides and oligonucleotides. This role translates scientific and business needs into scalable application solutions, building UIs, lab automations, integrations and digital platforms that accelerate DMTA cycles and enable high-quality decision-making.

Key Responsibilities

Application Development & Integration

  • Design, develop and maintain modern web applications
  • Build and support integrations across core business lab systems
  • Implement RESTful APIs and microservices to connect front-end applications with backend systems
  • Collaborate with architects and technical leads to implement technical designs and patterns
  • Contribute production code following modern engineering practices and coding standards

Frontend & Full-Stack Engineering

  • Build component-based applications
  • Implement state management solutions and optimize application performance
  • Expand and maintain UI component libraries and design system implementations
  • Write comprehensive unit, integration and end-to-end tests for front-end code
  • Participate in code reviews and maintain high code quality standards

System Integration & Data Management

  • Develop integrations with lab systems and automation platforms
  • Work with cloud-native platforms and technologies (AWS, Lambda, Docker)
  • Implement data visualization and reporting features for scientific data
  • Support API design, development and documentation
  • Handle data modeling for application requirements and ensure data integrity

Engineering Practices & Quality

  • Participate in CI/CD pipeline development and automation
  • Write automated tests and align with quality engineering practices
  • Support observability and monitoring of production applications
  • Create and keep up to date documentation
  • Use AI-assisted development tools (e.g., Kiro, Claude Code) to improve productivity
  • Follow security, privacy and data governance standards in application development

Collaboration & Support

  • Work closely with product managers, UX designers and scientists to understand requirements
  • Collaborate with multi-functional teams including data engineers, architects and QA
  • Provide technical support for deployed applications
  • Participate in agile development practices
  • Support validation activities and change control processes for regulated environments

Qualifications

Required

  • 2-5+ years of software development experience
  • Proficiency in React and TypeScript
  • Solid understanding of HTML5, CSS3 and responsive design principles
  • Experience with RESTful API development and integration
  • Proficiency in Python for backend services, scripting, or data processing
  • Experience with cloud platforms, particularly AWS (S3, Lambda, API Gateway)
  • Understanding of database design and SQL
  • Experience with Git version control and collaborative development workflows
  • Experience with testing frameworks (Jest, React Testing Library, pytest)
  • Understanding of CI/CD concepts and deployment practices
  • Ability to translate business and scientific requirements into technical solutions
  • Strong problem-solving skills and attention to detail
  • Experience working in agile/scrum development environments

Preferred

  • Experience with Docker and containerization
  • Familiarity with microservices architecture and event-driven systems
  • Understanding of AWS services beyond basics (Step Functions, EventBridge, DynamoDB)
  • Knowledge of GxP or regulated system requirements
  • Understanding of OAuth2/OIDC and security best practices
  • Knowledge of SDLC methodologies and software validation practices

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

 

 

Required Skills:

 

 

Preferred Skills:

Agility Jumps, Analytical Reasoning, Coaching, Collaboration, Critical Thinking, Model-Based Systems Engineering (MBSE), Product Design, Report Writing, Requirements Analysis, Research and Development, SAP Product Lifecycle Management, Scripting Languages, Software Architectures, Software Development Management, Software Engineering Practices, Software Quality Assurance (SQA), Systems Development Lifecycle (SDLC), Technologically Savvy

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Skills and AI tools this role asks for

ClaudeClaude Code

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  4. Tell me about a time an AI tool got something wrong. How did you catch it?

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