Dotmatics
Dotmatics builds cloud-based R&D scientific software that unifies biology, chemistry, and data management workflows for biopharma, chemicals/materials companies, and academic labs; products include Luma, ELN, GraphPad Prism, Geneious, SnapGene, Protein Metrics, and LabArchives. The company sells SaaS and enterprise licenses for data integration, analysis, and decision support, is headquartered in Boston, and operates as a Siemens company following its acquisition.
Open Positions at Dotmatics
9 open positions
Join Dotmatics as a DevOps Engineer supporting cloud-native scientific software, with ownership of deployment pipelines, infrastructure, monitoring, security, and AI/ML workloads. The role combines AWS and Kubernetes operations with modern DevSecOps and AI-assisted engineering practices.
Dotmatics is seeking a DevOps Engineer to design and operate secure, scalable CI/CD pipelines and cloud infrastructure for AWS, Kubernetes, and AI/ML workloads. The role combines infrastructure automation, observability, DevSecOps, and AI-assisted engineering.
DevOps Engineer responsible for designing and operating secure, scalable cloud and Kubernetes infrastructure for scientific software products. The role combines CI/CD automation, observability, DevSecOps, and infrastructure for AI/ML and LLM workloads.
Join Dotmatics as a Scientific QA Manual Exploratory Tester, validating Luma’s web-based scientific workflows through user testing and exploratory testing. You’ll uncover usability and functionality issues, document reproducible defects, and collaborate with product, development, and automation teams.
Backend Software Engineer building and maintaining Node.js services and APIs for LabArchives’ electronic laboratory notebook, inventory, and scheduling products. The role offers substantial ownership in a collaborative, remote-friendly scientific software team.
Lead the evolution of Luma’s distributed, event-driven data processing and execution platform for scientific research. You’ll architect high-volume pipelines, guide a migration to Node.js/TypeScript and Python, and improve reliability across AWS and Kubernetes.
Build and own the production AI agent at the core of Dotmatics Luma, including its reasoning loop, tools, memory, security, and reliability. This AI-native role combines agent architecture with Python, Node.js/TypeScript, and React development in a remote-friendly scientific software environment.
Cloud Ops Engineer supporting AWS infrastructure for Dotmatics’ ELN Platform, with a focus on automation, reliability, security, and developer productivity. The role partners with engineering, security, and DevOps teams in a remote-friendly environment.
Lead the front-end architecture and development of Geneious, using TypeScript and Angular to create scalable, performant experiences for scientists worldwide. Mentor engineers, establish reusable UI systems, and help own the application from development through secure deployment.