Note: The job is a remote job and is open to candidates in USA. Dotmatics is a leading company in scientific innovation, dedicated to integrating science, data, and decision-making. They are seeking a Senior Full Stack Engineer to develop robust features for their AI-Powered platform, Luma, which enhances scientific research workflows. The role involves building scalable data pipelines and collaborating with team members to create user-friendly interfaces while ensuring code quality and reliability.

Responsibilities

• Lead the development of complex, high-impact features within a Node.js/TypeScript and React ecosystem
• Develop and maintain serverless and event-driven data pipelines capable of handling high-volume scientific data
• Write clean, maintainable, and well-tested code. You will proactively identify technical debt and advocate for architectural improvements
• Partner closely with other team members to build intuitive user interfaces that simplify complex scientific research
• Provide technical guidance through thoughtful code reviews and pair programming, fostering a culture of continuous learning
• Support the reliability of our services by implementing observability and participating in the deployment and monitoring of your code in production

Skills

• 8+ years experience in engineering preferably in a SaaS environment
• Degree in Computer Science, Software Engineering, or equivalent
• Expert-level proficiency with Node.js and React
• Proven experience building and consuming RESTful APIs and working with PostgreSQL
• 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
• A strong advocate for automated testing (unit, integration, E2E) and experience with CI/CD tools like GitHub Actions or AWS CodePipeline
• Proficiency in Agile methodologies and a track record of delivering value in iterative cycles
• Experience building and scaling complex data ingestion or processing workflows
• Experience with Terraform or similar deployment technologies
• Exposure to AWS/GCP or experience designing systems that can run across multiple cloud providers
• Experience leading small project teams or acting as a 'feature lead'
• Background in Life Sciences or R&D data management

Company Overview

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