• Ensure system reliability and quality: Develop and maintain high-quality code, prioritizing availability, security, data integrity, and prevention of recurring incidents. • Deliver value consistently: Build complete, tested features aligned with the product's real needs, balancing speed and technical robustness. • Make well-founded technical decisions: Evaluate trade-offs considering performance, maintainability, security, cost, and business impact, avoiding over-engineering. • Collaborate and unblock the team: Work collaboratively in code reviews, pair programming, and technical discussions, taking collective responsibility for the squad's results. • Co-create solutions with Product and Data: Contribute technically to scope definition, assessing feasibility, risks, and alternatives before development begins. • Contribute to architectural evolution: Identify technical debt, bottlenecks, and opportunities for structural improvement, actively participating in architecture evolution. • Adopt an AI-first mindset: Use AI tools to improve productivity and quality while retaining technical responsibility for decisions and architecture. • Communicate clearly and responsibly: Maintain transparency about deliveries, risks, and blockers, document relevant decisions, and ensure stakeholder alignment.

• Develop end-to-end features (backend and frontend) • Build and evolve REST APIs • Work with data modeling and query optimization • Integrate with external APIs (e.g., Plaid) • Ensure code quality, testing, and technical standards • Participate in architectural decisions

• Develop and maintain scalable and robust applications using our technology stack. • Design and implement front-end interfaces using React, TypeScript, and JavaScript. • Build and maintain back-end services using NodeJs. • Utilize AWS infrastructure to deploy and manage applications in a serverless architecture. • Collaborate with cross-functional teams to define, design, and ship new features. • Participate in code reviews, ensuring code quality and adherence to best practices. • Debug and resolve technical issues across the full stack. • Contribute to the continuous improvement of our development processes and tools.

• Build, extend, and maintain advanced chemical safety and predictive toxicology platforms. • Work on decision tree / rule-based engines, scientific data interfaces, and integrating external source system data into a unified informatics environment. • Rule and Algorithm Design. • Work with AI to draft initial implementation of rules. • Rule Validation. • Work with experts and AI to refine rules and resolve questions/issues; perform testing and validation of each rule. • Tree Logic Encoding. • Implement decision tree; perform testing and validation of tree traversal. • Integration and Testing. • Integrate rule engine with tree logic and validate end-to-end.