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Senior Full Stack Engineer (Luma)
Dotmatics · Boston, United States
About The Role
Join Dotmatics, a leading provider of scientific informatics solutions. As a Senior Full Stack Engineer, you will play a key role in building Luma, an AI-powered research platform that streamlines scientific research. You will be responsible for developing robust features, maintaining the codebase, and collaborating with team members to create intuitive user interfaces. This is an opportunity to work on a product that has a real-world impact on science and medicine.
- Lead the development of complex, high-impact features and ensure the technical health of the codebase.
- Develop and maintain serverless and event-driven data pipelines capable of handling high-volume scientific data.
- Provide technical guidance through thoughtful code reviews and pair programming, fostering a culture of continuous learning.
- We are looking for candidates 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!!
- Proven experience building and consuming RESTful APIs and working with PostgreSQL
- A strong advocate for automated testing (unit, integration, E2E) and experience with CI/CD tools like GitHub Actions or AWS CodePipeline
- Experience working with message-based architectures (e.g., Kafka) and event-driven patterns
- Strong software engineering experience with NodeJs, React, Java, Go, C# (or similar object-oriented/backend languages)
- Proficiency in Agile methodologies and a track record of delivering value in iterative cycles
- Hands-on experience with AWS services and a solid understanding of Docker/Kubernetes for container orchestration
- Experience with Terraform or similar deployment technologies
- Experience building and scaling complex data ingestion or processing workflows
- Exposure to AWS/GCP or experience designing systems that can run across multiple cloud providers
- Background in Life Sciences or R&D data management
- Experience leading small project teams or acting as a "feature lead"
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