2 months ago
Mexico City, MexicoSenior
Responsibilities
- Lead development of complex features across microservices, owning backend services and their frontend experiences.
- Design, build, and maintain serverless, event-driven, streaming, and message-based data pipelines for high-volume scientific data.
- Build asynchronous, non-blocking services and APIs that scale reliably under load.
- Write clean, maintainable, well-tested code and advocate for architectural improvements.
- Collaborate with engineers to build intuitive user interfaces for complex scientific research workflows.
- Provide technical guidance through code reviews and pair programming.
- Implement observability and participate in production deployment and monitoring.
Requirements
- 8+ years of engineering experience, preferably in a SaaS environment.
- Strong commercial experience with Node.js backend services and React frontend applications.
- Experience designing, building, and consuming RESTful APIs.
- Strong proficiency with PostgreSQL and relational database design.
- Experience with microservices, event-driven architectures, asynchronous programming, and distributed systems; Kafka experience is preferred.
- Production experience with AWS services.
- Experience using Docker and Kubernetes for containerization and orchestration.
- Experience with automated unit, integration, and end-to-end testing and CI/CD tools such as GitHub Actions, GitLab CI, or AWS CodePipeline.
- Strong written and spoken English.
- A degree in Computer Science, Software Engineering, or equivalent experience is preferred.
- Experience with complex data ingestion or processing workflows, messaging bots, Terraform, multi-cloud systems, technical mentoring, or Life Sciences/R&D data management is advantageous.
Benefits
- Remote-friendly work environment.
- Collaborative global team and opportunities to contribute to scientific innovation.
- Equal opportunity workplace focused on inclusion, support, and connection.
Tech Stack
Apache KafkaAWSAzureDockerGitHub ActionsGitLab CI/CDGoogle Cloud PlatformKubernetesNode.jsPostgreSQLReactTerraform
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.