Senior Full Stack Engineer

Dotmatics is seeking a Senior Full Stack 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 Senior Full Stack Engineer, you will be responsible for building robust, scalable features and ensuring the technical health of our codebase.

We value engineers who are curious about AI and are motivated to find new ways to use AI in software development.

This is no ordinary engineering role - this is working on a product with real world meaning - a product that helps define the way scientists works, helping bring medicine to market quicker, finding cures for diseases faster…
This is LUMA

• Lead the development of complex, high-impact features
• Develop and maintain serverless and event-driven data pipelines capable of handling high-volume scientific data.
• Write clean, maintainable, and well‑tested code. You will 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.

With 8+ 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 the how!!

• Strong software engineering experience with Node Js, React, Java, Go, C# (or similar object‑oriented/backend languages)
• 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 Git Hub Actions or AWS Code Pipeline.
• Proficiency in Agile methodologies and a track record of delivering value in iterative cycles.

• 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.