• Apply data engineering concepts to generate and validate the integrity of databases; • Automate complex workflows; • Develop and maintain high-performance systems (e.g., services, processes, REST APIs, SDKs, supporting libraries, etc.); • Work with a variety of database technologies; • Work with cloud services, especially AWS; • Evaluate, together with team members, the adoption of new components and technologies.

• Design, build, and maintain backend services and APIs (C#/.NET) that power the platform's core business logic. • Implement and maintain the service layer for asset tracking, facility navigation, and event detection features. • Integrate with third-party positioning/telemetry providers and their APIs. • Define and evolve API contracts in collaboration with the frontend team (web admin portal and mobile app). • Write automated tests, participate in code review, and help keep the codebase maintainable as the platform grows. • Support deployment, monitoring, and troubleshooting of backend services in production.

• Design, build, and maintain backend services and APIs (C#/.NET) that power the platform's core business logic. • Implement and maintain the service layer for asset tracking, facility navigation, and event detection features. • Integrate with third-party positioning/telemetry providers and their APIs. • Define and evolve API contracts in collaboration with the frontend team (web admin portal and mobile app). • Write automated tests, participate in code review, and help keep the codebase maintainable as the platform grows. • Support deployment, monitoring, and troubleshooting of backend services in production.

• Own the technical architecture and long-term evolution of the Web Data Platform. • Define engineering standards, architectural principles, and technical roadmaps. • Lead a team of engineers through technical direction, mentoring, and regular feedback. • Design and build scalable distributed systems for public web data collection. • Drive the evolution of our browser automation platform and data extraction infrastructure. • Solve complex engineering challenges involving JavaScript-heavy websites, browser automation, networking, and anti-bot environments. • Improve scalability, resilience, observability, and operational excellence across the platform. • Review architecture, code, and technical designs to maintain high engineering quality. • Partner with Product, Infrastructure, and Platform teams to deliver reliable production systems. • Support hiring, onboarding, and the professional growth of the engineering team. • Help shape the engineering culture through technical excellence, collaboration, and continuous improvement.