5 hours ago
Responsibilities
- Lead development of complex, high-impact features.
- Develop and maintain serverless and event-driven data pipelines for high-volume scientific data.
- Write clean, maintainable, well-tested code and identify technical debt and architectural improvements.
- Build intuitive user interfaces with other team members to simplify scientific research.
- Provide technical guidance through code reviews and pair programming.
- Implement observability and participate in production deployment and monitoring.
- Build and scale data ingestion or processing workflows when needed.
- Lead small project teams or act as a feature lead when applicable.
Requirements
- 8+ years of engineering experience, preferably in a SaaS environment.
- 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 understanding of Docker and Kubernetes for container orchestration.
- Experience with message-based architectures such as Kafka and event-driven patterns.
- Experience with automated unit, integration, and end-to-end testing.
- Experience with CI/CD tools such as GitHub Actions or AWS CodePipeline.
- Experience with Agile methodologies and iterative delivery.
- A degree in Computer Science, Software Engineering, or equivalent experience is ideally preferred.
- Experience with Terraform or similar deployment technologies, AWS/GCP or multi-cloud systems, and life-sciences or R&D data management is advantageous.
Benefits
- Hybrid work arrangement requiring two days per week in the Boston, US office.
- Remote-friendly, collaborative environment with a focus on integrity and professional growth.
- Opportunity to work on software supporting scientific research, drug discovery, and improved health outcomes.
- Equal opportunity workplace with an emphasis on inclusion and employee support.
Tech Stack
Categories
About Dotmatics
Dotmatics builds cloud-based R&D scientific software that unifies biology, chemistry, and data management workflows for biopharma, chemicals/materials companies, and academic labs; products include Luma, ELN, GraphPad Prism, Geneious, SnapGene, Protein Metrics, and LabArchives. The company sells SaaS and enterprise licenses for data integration, analysis, and decision support, is headquartered in Boston, and operates as a Siemens company following its acquisition.