We're looking for an experienced full-stack developer to join us in building Digital Twin Platform, which enables our customers to navigate and interact with their 3D digital twin portfolios, inspect drone imagery, create CAD/BIM simulations, gain portfolio insights, and more. In this role, you will:
Develop across the full technology stack, from backend microservices and data pipelines to interactive 3D visualizations in the frontend.
Collaborate effectively as a team player within a multidisciplinary environment, taking end-to-end ownership: from early problem definition and close alignment with product teams to production deployment.
Deliver impactful work quickly to customers while solving complex, interdisciplinary challenges that frequently extend beyond your core domain.
Leverage AI agents throughout the software development lifecycle while maintaining complete code accountability and a thorough understanding of overall system design and architecture.
Develop across the full technology stack, from backend microservices and data pipelines to interactive 3D visualizations in the frontend.
Collaborate effectively as a team player within a multidisciplinary environment, taking end-to-end ownership: from early problem definition and close alignment with product teams to production deployment.
Deliver impactful work quickly to customers while solving complex, interdisciplinary challenges that frequently extend beyond your core domain.
Leverage AI agents throughout the software development lifecycle while maintaining complete code accountability and a thorough understanding of overall system design and architecture.
Requirements:
B.Sc. in Computer Science or a related field, or equivalent practical experience.
4+ years of professional software development experience, with real ownership of production web applications and senior-level technical responsibilities.
Strong backend experience in a production-grade ecosystem. Java with Spring Boot and Python is what we use and is a significant plus; strong Node.js/TypeScript or Python experience with willingness to work in Java is equally welcome.
Experience designing well-defined APIs and working with distributed or event-driven systems.
Working frontend experience with a component-based framework. Angular preferred, React or Vue is fine. Comfortable enough with TypeScript, HTML, and CSS to build and maintain real features.
Strong understanding of frontend architecture, state management, responsive design, browser performance, accessibility, and automated testing.
Solid data modeling skills across relational databases, plus working familiarity with at least one NoSQL, caching, or search technology (MongoDB, Redis, Elasticsearch).
Hands-on experience with a major cloud platform (AWS preferred) and containerized environments (Docker, Kubernetes).
Experience with CI/CD, automated testing, and production observability – logging, metrics, alerting, debugging.
Practical experience using AI-assisted development tools or coding agents, and the judgment to use them well: how you validate generated code, catch incorrect output, and protect sensitive information.
Good collaboration and communication skills, and professional fluency in English.
B.Sc. in Computer Science or a related field, or equivalent practical experience.
4+ years of professional software development experience, with real ownership of production web applications and senior-level technical responsibilities.
Strong backend experience in a production-grade ecosystem. Java with Spring Boot and Python is what we use and is a significant plus; strong Node.js/TypeScript or Python experience with willingness to work in Java is equally welcome.
Experience designing well-defined APIs and working with distributed or event-driven systems.
Working frontend experience with a component-based framework. Angular preferred, React or Vue is fine. Comfortable enough with TypeScript, HTML, and CSS to build and maintain real features.
Strong understanding of frontend architecture, state management, responsive design, browser performance, accessibility, and automated testing.
Solid data modeling skills across relational databases, plus working familiarity with at least one NoSQL, caching, or search technology (MongoDB, Redis, Elasticsearch).
Hands-on experience with a major cloud platform (AWS preferred) and containerized environments (Docker, Kubernetes).
Experience with CI/CD, automated testing, and production observability – logging, metrics, alerting, debugging.
Practical experience using AI-assisted development tools or coding agents, and the judgment to use them well: how you validate generated code, catch incorrect output, and protect sensitive information.
Good collaboration and communication skills, and professional fluency in English.
This position is open to all candidates.
