Senior Engineer Software Engineering Integration

Johnson & Johnson Innovative Medicine
Hybrid

About The Position

The Lead Software Engineer for R&D Technology is responsible for the design and delivery of solutions that underpin next-generation R&D capabilities across small molecules, peptides, and oligonucleotides. This role bridges scientific needs with scalable technology solutions, ensuring automation, data, and digital platforms enable high-quality decision-making.

Requirements

  • 5-7+ years of software engineering experience.
  • Track record of leading technical initiatives from concept to production.
  • Strong foundational skills in IT, including database design, data engineering, cloud computing, and architecture principles.
  • Proven track record to translate sophisticated scientific and business needs into practical technical solutions.
  • Experience designing systems handling regulated/validated data.
  • Understanding of GxP or regulated system requirements.
  • Experience with cloud-native platforms and technologies (AWS, Lambda, Step Functions, Docker, Kubernetes).
  • Expertise in API design, microservices patterns, and event-driven architectures.
  • Strong data modeling and schema evolution expertise.
  • Experience with testing strategies and quality engineering practices.
  • Experience establishing engineering practices and tooling across teams.
  • Experience using AI-assisted development tools (e.g. Kiro, Claude Code) to improve engineering efficiency.
  • Proficiency in Python for prototyping, integration, or workflow automation.
  • Proven experience owning products or platforms throughout their lifecycle in a multi-team environment.
  • Strong interpersonal and negotiation skills with the ability to influence and build trusted partnerships across functions.
  • Experience in leading a team of external resources.
  • Experience delivering high-quality digital solutions including dependency management, release planning, change control, validation, and governance.
  • Familiarity with SDLC methodologies and software validation practices.

Nice To Haves

  • Experience in pharmaceutical discovery or development environments.
  • Experience with lab-specific systems such as ELN, LIMS, SDMS, or automation control software.

Responsibilities

  • Design, build and support integrations across core business lab systems
  • Define and maintain the Engineering and Technology architecture vision, roadmap, and standards.
  • Lead the technical architecture across squads, ensuring alignment to enterprise patterns, reusable components, and modern engineering practices.
  • Drive evaluation, design, and selection of technical solution options; build, test, and validate architectural concepts and prototypes; contribute production code to critical technical paths.
  • Translate sophisticated business and scientific requirements into scalable and actionable technical designs.
  • Drive technical decisions to ensure long-term sustainability.
  • Collaborate with platform, product teams and architects to leverage of enterprise capabilities (AWS, data platforms, workflow engines, lab systems).
  • Develop a technical understanding of the existing lab systems, their business use cases and how to build integrations with them.
  • Own CI/CD pipeline architecture and automation strategy.
  • Establish observability and operational excellence standards across platforms.
  • Manage technical debt and maintain system health through proactive refactoring and modernization.
  • Manage development and review cadence; align technology landscape across squads to promote interoperability, modularity, and scalability.
  • Mentor and develop engineering talent across squads.
  • Establish engineering standards and review practices.
  • Lead technical hiring and team scaling.
  • Own lifecycle management for domain technologies, including the Product API catalog and integrations governance.
  • Ensure architectural compliance with security, privacy, data governance, and regulatory standards.
  • Establish policies and standards for responsible AI tool usage in regulated/validated environments.
  • Monitor emerging technology trends in lab automation, cloud engineering, AI/ML, and scientific computing.
  • Conduct research spikes and feasibility assessments for new capabilities relevant to synthetic workflows and workflow automation.

Benefits

  • annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions.
  • vacation days
  • parental leave for a minimum of 12 weeks
  • bereavement leave
  • caregiver leave
  • volunteer leave
  • well-being reimbursement
  • programs for financial, physical and mental health.
  • service anniversary and recognition awards
  • insurance plans
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