Senior Full Stack Developer

At Dotmatics, a Siemens company, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian. We have a vision for a new Lab of the Future that will change the future of scientific research. We have created the world's most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. You'll join a collaborative, global team pushing the boundaries of scientific innovation.

We offer
a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Combined, we are now the world's largest cloud-based scientific research R&D platform. Dotmatics is seeking a Senior Full Stack Engineer to join our team. Luma is an AI-Native Multimodal Research Platform for Scientific Intelligence
- it fits the way our customers \"do science,\" letting them streamline research with adaptive R&D workflows driven by AI and seamless data integration. As a Senior Full Stack Engineer, you'll build scalable features across a distributed, event-driven system and help maintain the technical health of our codebase. You should be a hands-on expert across the Node.js/React ecosystem, comfortable designing asynchronous, microservice-based architectures, with a genuine passion for scientific innovation. We value engineers who are curious about AI and motivated to find new ways to apply it in software development. Lead development of complex, high-impact features across a microservices architecture, owning both backend services and the frontend experiences they power Design, build, and maintain serverless and event-driven data pipelines — including streaming and message-based workflows — capable of handling high-volume scientific data Write clean, maintainable, well-tested code; Support the reliability of our services by implementing observability and participating in deployment and monitoring of your code in production **Strong fluency with English
- Written & Spoken 8+ years of engineering experience, preferably in a SaaS environment, ideally with a degree in Computer Science, Software Engineering, or equivalent Strong commercial experience building backend services with Node.js and modern frontend applications with React Strong proficiency working with PostgreSQL and relational database design Experience designing and working within microservices and event-driven architectures, preferably using Kafka Hands-on experience with AWS services in production environments Experience using Docker and Kubernetes for containerisation and orchestration A strong advocate for automated testing (unit, integration, E2E) and experience with CI/CD tools such as GitHub Actions, GitLab CI, or AWS CodePipeline Proficiency in Agile methodologies and a track record of delivering value in iterative cycles Building and scaling complex data ingestion or processing workflows Terraform or similar infrastructure-as-code technologies Exposure to AWS/GCP/Azure, or designing systems that run across multiple cloud providers Leading small project teams or acting as a \"feature lead,\" including mentoring engineers and running code reviews Background in Life Sciences or R&D data management\" By submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and related purposes.