Full-Stack Staff Engineer

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 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

• Define and drive system architecture for services
• 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.

We are looking for candidates with 12+ years experience in engineering preferably in a SaaS environment, and ideally with a degree in Computer Science, Software Engineering, or equivalent.

• Strong engineering background with Node.js, React, Java, Go, or C# (or similar object-oriented/backend languages)
• 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 PostgreSQL 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.