Senior Front-end Engineer, TetraScience

• 6+ years of professional experience building modern web applications
• Deep expertise in React, TypeScript, and modern front-end patterns
• Strong experience with data-heavy UI development (tables, charts, dashboards, workflows)
• Hands-on experience with Streamlit or Plotly Dash for data apps, dashboards, or scientific tools is preferred
• Solid understanding of REST and/or GraphQL APIs
• Experience working with complex data models and large-scale datasets
• Strong testing discipline (unit, integration, and UI testing)
• Excellent communication skills and ability to collaborate across disciplines
• Experience with cloud-native architectures (AWS preferred)
• Comfortable working with external customers and demonstrating new features in front of the customers and end users

Desirable

• We are looking for a Senior Front-end Engineer to design and build modern, high-impact scientific data applications using React as the main front-end framework
• This role focuses on developing intuitive, performant front-end experiences for interacting with complex experimental, instrumental, and analytical data in the R&D phase
• You will work closely with product managers, data engineers, scientists, and UX designers to translate scientific workflows into robust web applications
• This is a senior-level role with strong ownership, technical leadership, and architectural influence
• Design and develop production-grade React-based applications for scientific and data-intensive use cases
• Build Streamlit-based applications for rapid prototyping, internal tools, and scientist-facing analytics workflows
• Translate complex scientific data models (e.g., time series, metadata-rich datasets, ontologies) into intuitive UIs
• Collaborate with data engineers and data platform teams to integrate APIs, data pipelines, and analytics services
• Optimize application performance for large datasets and high-frequency interactions
• Promote front-end development best practices: create reusable front-end components, state management, testing, and observability
• Partner with product managers and UX designers to refine requirements and deliver exceptional user experiences
• Work closely with external stakeholders and end users to understand their requirements and whiteboard wireframes. Demonstrate new features and collect feedback
• Mentor junior engineers and provide technical leadership through code reviews and design discussions
• What Success Looks Like:
• Scientists and data teams can easily explore, validate, and contextualize their data
• Front-end systems scale gracefully as data volume and complexity grow
• New scientific workflows can be delivered quickly without sacrificing quality
• Front-end architecture is maintainable, testable, and a model for the broader engineering organization