Fullstack Engineer, Investigator Tools

Accountabilities:

Own end-to-end feature development: Lead the entire product development lifecycle, from understanding user needs and defining problem spaces to technical modeling, user experience implementation, deployment and iterative improvement.
Build intuitive investigative tools: Transform complex backend systems and data structures into accessible, user-friendly interfaces that help fraud analysts investigate suspicious activities efficiently.
Develop advanced graph systems: Design, implement and optimize graph-based applications that visualize relationships between entities and help investigators uncover complex fraud rings and suspicious transaction patterns.
Create high-performance search capabilities: Build and refine search tools that enable users to navigate large datasets, identify relevant information and investigate potential financial crime quickly.
Develop scalable backend services: Build reliable, efficient backend systems and APIs using TypeScript, Node.js, Go and other appropriate server-side technologies to support data-intensive applications.
Deliver engaging frontend experiences: Develop responsive, performant user interfaces using React and TypeScript, ensuring complex workflows remain intuitive and accessible.
Design robust data models and pipelines: Develop technical data models and production-grade data pipelines capable of processing and supporting large volumes of complex information.
Collaborate across teams: Work closely with product, design, data and account management teams to translate business objectives and user feedback into effective technical solutions.
Maintain system reliability and performance: Proactively identify, investigate and resolve bugs, optimize application performance and write efficient, production-ready code.
Drive continuous improvement: Navigate evolving requirements, exercise independent judgment and take full ownership of technical challenges, delivering polished, maintainable and scalable features.
Requirements:
Fullstack engineering experience: Extensive hands-on experience developing production-ready applications using TypeScript, Node.js, React, Go and other server-side programming languages.
Data-intensive application expertise: Proven experience building and maintaining applications that handle large datasets, complex workflows and demanding performance requirements at scale.
Data modeling and pipeline development: Strong knowledge of technical data modeling, data processing architectures and the design and implementation of reliable production data pipelines.
Frontend engineering proficiency: Ability to create intuitive, high-performance user interfaces that simplify complex technical concepts and support sophisticated investigative workflows.
Backend development expertise: Strong understanding of server-side architecture, API development, performance optimization and scalable application design.
Problem-solving and analytical skills: Ability to break down ambiguous, technically challenging problems and develop practical, robust solutions that address user and business needs.
End-to-end ownership: Demonstrated ability to independently manage features from initial discovery and technical design through implementation, delivery and ongoing refinement.
Adaptability in a fast-growing environment: Comfort working in a high-growth startup where priorities evolve, requirements may be unclear and engineers are expected to take initiative.
Cross-functional communication: Strong collaboration skills and the ability to work effectively with product managers, designers, data specialists and other stakeholders.
Commitment to quality: A proactive approach to debugging, testing, code efficiency, system reliability and continuous technical improvement.
Remote collaboration: Ability to work independently, manage priorities effectively and collaborate with a distributed international team.
Location requirements: Ability to work remotely while maintaining a home base in the country of employment, with compensation determined partly by geographic location.
Benefits:
Competitive compensation: Annual salary range of €112,000–€128,000, depending on location, qualifications, professional experience and interview performance.
Equity participation: Equity opportunities that allow employees to share in the company's growth, with early exercise available for all options, including pre-vested options.
Remote-first work environment: Flexibility to work remotely within your country of employment, without a requirement to commute to an office.
Flexible paid time off: Paid leave designed to support personal commitments, work-life balance and individual well-being.
Year-end break: Additional time to recharge during the end-of-year period.
Health and wellness support: Annual health and wellness stipend to support personal well-being.
Home office equipment: A MacBook Pro delivered to your home, plus a one-time stipend to set up your workspace with items such as a desk, chair and monitor.
Meal allowance: Monthly meal stipend.
Social connection: Monthly stipend to support social meetups and connections with colleagues.
Professional development: Annual learning stipend to support continued education, skills development and career growth.
Healthcare coverage: Medical, dental and vision insurance for employees and dependents, where applicable in the United States and Canada.
Retirement contributions: Employer matching of up to 4% through 401(k) or RRSP plans, where applicable in the United States and Canada.
International collaboration: The opportunity to work alongside experienced professionals from around the world on technology that addresses complex, real-world financial crime challenges.
Meaningful impact: Contribute directly to tools and systems that help organizations prevent fraud, investigate suspicious activity and protect customers.