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Johnson & JohnsonPosted 1 month ago

Lead Engineer

On-siteBengaluru, Karnataka, India or Hyderabad, Telangana, India

Full TimeSenior LevelEnterprise

Job Summary

Lead squad engineers in designing, developing, configuring, testing, deploying, and maintaining software solutions for Clinical Operations processes. Provide hands-on technical leadership by guiding engineers through implementation decisions using modern design patterns, ensuring code quality, and driving solution validation and deployment including automated testing. Mentor team members through code reviews and foster continuous improvement while managing technical debt and vulnerability remediation. Define architectural vision and collaborate with Product Owners and stakeholders to refine stories and support backlog readiness. Enhance operational efficiency by leveraging CI/CD automation and SDLC tooling appropriate for regulated delivery environments.

Required Qualifications

  • Bachelor's degree in business, life sciences, health sciences, information systems, computer science, data analytics, engineering, or a related field
  • 3–5 years of experience in Clinical Operations technology, software engineering, or related digital product domains
  • hands-on experience in designing, building, and delivering scalable solutions
  • ability to guide technical implementation
  • ability to collaborate with cross-functional teams
  • ability to support end-to-end delivery in a fast-paced, regulated environment
  • Experience leading software engineering efforts in a product development environment
  • software design, development, validation, and delivery
  • Strong expertise in modern technology stacks and software engineering practices used within the organization
  • Demonstrated ability to guide technical priorities across a squad backlog
  • ability to support effective delivery planning
  • AI-enabled product and engineering initiatives
  • Hands-on knowledge of CI/CD pipelines
  • automated testing
  • solution architecture
  • API architecture and design
  • systems integration
  • building, fine-tuning, or integrating AI/ML models into production solutions
  • Experience building secure, scalable, maintainable, and compliant software solutions
  • Solid understanding of Generative AI and Agentic AI concepts
  • patterns
  • practical application in enterprise environments
  • prompt design
  • orchestration
  • responsible AI considerations
  • Ability to mentor engineers
  • conduct effective code reviews
  • foster strong technical and professional development within the team
  • Strong collaboration and communication skills
  • ability to work across squads
  • ability to work with cross-functional stakeholders
  • including Clinical Operations business partners
  • Experience working with regulated systems
  • understanding of GxP/GCP principles
  • validation expectations
  • auditability
  • data integrity
  • controlled organizational change
  • Commitment to continuous learning
  • quality
  • continuous improvement in software delivery and engineering practices

Desired Qualifications

  • Experience in Health Technology domains such as clinical systems
  • digital health platforms
  • data engineering and analytics
  • cybersecurity
  • cloud engineering/DevOps
  • intelligent automation
  • integration engineering
  • platform engineering
  • Experience designing and delivering solutions using Generative AI
  • Agentic AI
  • large language models
  • and related AI engineering frameworks
  • Knowledge of agile product development practices
  • collaboration models with Product Owners
  • Clinical Operations stakeholders
  • and cross-functional teams
  • Experience managing technical debt
  • vulnerability remediation
  • and production release processes
  • Experience supporting Clinical Operations capabilities and platforms
  • CTMS
  • eTMF
  • study startup
  • site engagement
  • inspection readiness
  • document management
  • reporting
  • workflow automation
  • or related trial support solutions
  • Professional certifications relevant to software development
  • agile delivery
  • product development
  • cloud platforms
  • AI engineering
  • or regulated systems
  • Experience working in regulated, security-conscious, or large-scale enterprise environments

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