[Hiring] Senior Full Stack Engineer @Dotmatics

Role Description

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 - it fits the way our customers "do science," letting them streamline research with adaptive R&D workflows driven by AI and seamless data integration.

In this role you will:

• 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.
• Build asynchronous, non-blocking services and APIs that scale reliably under load.
• Write clean, maintainable, well-tested code; proactively identify technical debt and advocate for architectural improvements.
• Partner closely with other engineers 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 deployment and monitoring of your code in production.

Qualifications

• 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.
• Curious and inquisitive - someone who questions the why and the how.

Requirements

• Strong commercial experience building backend services with Node.js and modern frontend applications with React.
• Solid experience designing, building, and consuming RESTful APIs.
• Strong proficiency working with PostgreSQL and relational database design.
• Experience designing and working within microservices and event-driven architectures, preferably using Kafka.
• Strong understanding of asynchronous programming patterns and distributed systems.
• 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.

Benefits

• Dynamic, remote-friendly environment that fosters high integrity and collaboration.
• Opportunity to have a tangible impact on scientific progress and discovery.