Staff Engineer - Full Stack; Node.js | Luma

At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive.vOur Portfolio includes Luma, Luma Lab Connect, ELN Platform, Graphpad Prism, Geneious, Snap Gene, Protein Metrics, OMIQ, FCS Express, Lab Archives, NQuery, Easy Panel, MStar, Soft Genetics 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. This is dynamic, multi-dimensional decision-making.

Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.

Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.

You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform.

We need your help to keep growing and pioneering the future.

We are Science Driven. We are Customer Centric. We are Better Together.

Dotmatics is seeking a Staff Engineer to join our team. We are building the most powerful R&D AI-Powered platform in the world. Luma is an AI-Native Multimodal Research Platform for Scientific Intelligence, Luma fits the way our customers “do science”. It allows scientists to streamline scientific research with adaptive R&D workflows driven by AI and seamless data integration. As a Staff Engineer, you will be responsible for driving improvements in reliability, performance, and operability while helping to hire, mentor, and grow a world-class engineering team.

You are curious and have some working knowledge of using AI in your everyday work or in your own personal projects, and be motivated to find new ways to use AI in software development.

This is a remote position, located in Mass. There will be some travel required to the office in Boston for team meetings and working sessions.

• Define and drive system architecture for services within a Node.js/Type Script ecosystem.
• Contribute to and improve engineering standards, patterns, and best practices for distributed systems, observability, and reliability.
• Architect and implement serverless and event-driven data processing pipelines for high-volume scientific data.
• Guarantee the scalability, maintainability, and security of software solutions.
• Provide technical guidance to Software Engineers, conduct code reviews, and raise the bar for design, code quality, and operational excellence.
• Help shape user interfaces that are intuitive and accelerate scientific research.
• Collaborate with other teams to build scientific solutions on top of a best-in-class scientific data engine.

with 12+ years experience in engineering preferably in a SaaS environment, and ideally with a degree in Computer Science, Software Engineering, or equivalent. You will be curious and inquisitive question the why and how!!

• Strong engineering background with Node.js and React.
• Proven experience designing and implementing distributed, event-driven systems and high-level web applications.
• Experience implementing automated testing platforms, unit tests, and integration tests.
• Professional experience with Postgre
  
  SQL and building/consuming RESTful APIs.
• Hands-on experience with AWS in production environments and a solid understanding of Kubernetes for orchestrating workloads.
• Proficiency with CI/CD tools such as Git Hub Actions and AWS Code Pipeline.
• Knowledge of Agile software development practices.

• Setting technical direction, leading cross-team initiatives, and levelling up other engineers.
• Background in complex data pipelines and scaling.
• Message-based architectures (e.g., Kafka).
• Exposure to AWS and/or GCP or designing systems portable across multiple cloud providers.
• Building Windows applications.
• Building scalable distributed systems using Kubernetes and other cloud-native technologies.
• Experience with in Life Sciences or R&D data management.