Senior Engineer Software Engineering Integration

Johnson & Johnson Johnson & Johnson · Pharma · Beerse, Antwerp, Belgium

This role is for a Senior Engineer Software Engineering - Integration at Johnson & Johnson, focusing on designing and delivering solutions for R&D technology, particularly in small molecules, peptides, and oligonucleotides. The role involves architecture, technical leadership, engineering excellence, and governance, with a focus on integrating core business lab systems and ensuring compliance with regulated environments. While AI/ML is mentioned as an emerging trend and AI-assisted development tools are used, the core function is software engineering and integration, not building AI models.

What you'd actually do

  1. Design, build and support integrations across core business lab systems
  2. Define and maintain the Engineering and Technology architecture vision, roadmap, and standards for the Synthetics Development domain.
  3. Lead the technical architecture across squads, ensuring alignment to enterprise patterns, reusable components, and modern engineering practices.
  4. Drive evaluation, design, and selection of technical solution options; build, test, and validate architectural concepts and prototypes; contribute production code to critical technical paths.
  5. Translate sophisticated business and scientific requirements into scalable and actionable technical designs.

Skills

Required

  • 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 have

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

What the JD emphasized

  • Track record of leading technical initiatives from concept to production
  • Experience designing systems handling regulated/validated data
  • Understanding of GxP or regulated system requirements
  • Experience establishing engineering practices and tooling across teams
  • Experience delivering high-quality digital solutions including dependency management, release planning, change control, validation, and governance.