Senior Full Stack Engineer (Node.js) | Luma

Dotmatics

1d•$130,000•Hybrid

About The Position

Dotmatics is seeking a Senior Full Stack Engineer to join their team. They are building the most powerful R&D AI-Powered platform in the world. Luma is an AI-Native Multimodal Research Platform for Scientific Intelligence, designed to fit the way customers "do science". It allows scientists to streamline scientific research with adaptive R&D workflows driven by AI and seamless data integration. As a Senior Full Stack Engineer, you will be responsible for building robust, scalable features and ensuring the technical health of the codebase. The ideal candidate will be a "hands-on" expert in the Node.js/React ecosystem with a passion for scientific innovation and curiosity about AI. This is a remote position, located in Mass., with some travel required to the office in Boston for team meetings and working sessions.

Requirements

8+ years experience in engineering preferably in a SaaS environment.
Expert-level proficiency with Node.js and React.
Proven experience building and consuming RESTful APIs and working with PostgreSQL.
Hands-on experience with AWS services and a solid understanding of Docker/Kubernetes for container orchestration.
Experience working with message-based architectures (e.g., Kafka) and event-driven patterns.
A strong advocate for automated testing (unit, integration, E2E) and experience with CI/CD tools like GitHub Actions or AWS CodePipeline.
Proficiency in Agile methodologies and a track record of delivering value in iterative cycles.
Curious and inquisitive; question the why and the how.

Nice To Haves

Degree in Computer Science, Software Engineering, or equivalent.
Experience building and scaling complex data ingestion or processing workflows.
Experience with Terraform or similar deployment technologies.
Exposure to AWS/GCP or experience designing systems that can run across multiple cloud providers.
Experience leading small project teams or acting as a "feature lead".
Background in Life Sciences or R&D data management.

Responsibilities

Lead the development of complex, high-impact features within a Node.js/TypeScript and React ecosystem.
Develop and maintain serverless and event-driven data pipelines capable of handling high-volume scientific data.
Write clean, maintainable, and well-tested code. Proactively identify technical debt and advocate for architectural improvements.
Partner closely with other team members to build intuitive user interfaces that simplify complex scientific research.
Provide technical guidance through thoughtful code reviews and pair programming, fostering a culture of continuous learning.
Support the reliability of our services by implementing observability and participating in the deployment and monitoring of your code in production.