Dotmatics · Remoto · Boston, United States
Join Dotmatics, a leading provider of scientific informatics solutions. As a Senior Full Stack Engineer, you will play a crucial role in building Luma, an AI-powered research platform that streamlines scientific research and accelerates the development of new medicines. You will lead the development of complex features, maintain serverless data pipelines, and collaborate with team members to create intuitive user interfaces. This is an opportunity to make a real-world impact in the field of science and medicine.
- We value engineers who are curious about AI and are motivated to find new ways to use AI in software development
- 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, questioning the why and the how, and will bring strong software engineering experience with NodeJs, React, Java, Go, C# (or similar object-oriented/backend languages)
- A strong advocate for automated testing (unit, integration, E2E) and experience with CI/CD tools like GitHub Actions or AWS CodePipeline
- 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
- Proficiency in Agile methodologies and a track record of delivering value in iterative cycles
- Proven experience building and consuming RESTful APIs and working with PostgreSQL
- Research shows us the confidence gap and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you
- Experience building and scaling complex data ingestion or processing workflows
- Experience with Terraform or similar deployment technologies
- Experience leading small project teams or acting as a "feature lead"
- Exposure to AWS/GCP or experience designing systems that can run across multiple cloud providers
- Background in Life Sciences or R&D data management
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