Job requirements and application form

This high-impact role offers the opportunity to lead a compact, elite team of engineers and take full ownership of building scalable, high-performance systems that power next-generation visual intelligence products. Key Responsibilities: • Team Management: Lead and mentor a team of engineers (backend and frontend), focusing on their personal and professional development. • Feature Development: Architect and develop end-to-end features, handling both backend (Redis, Kubernetes, PostgreSQL, Python, FastAPI) and frontend (React, Redux, Cesium, monorepo with npm 7, TypeScript) technologies. • Code Reviews & Quality: Conduct thorough PR reviews and ensure code quality and adherence to best practices. • Version Management: Oversee version management and the release of new product iterations. • Customer Support & Hotfixes: Interact with customers, troubleshoot issues, and implement hotfixes as needed. • Product Development: Collaborate closely with the product team on defining new features, UI/UX improvements, and assigning tasks across frontend and backend teams. • Bug Triage: Regularly conduct bug triage with the QA team and ensure timely resolution of issues. • Cross-Team Collaboration: Work with the Computer Vision team on integration pipelines and support Proof of Concepts (POCs) for quick solutions. • Scalable Solutions: Lead development of two key products—one involving augmented reality on real-time video and another managing geo registration for satellite imagery. • Stakeholder Communication: Report directly to the VP of R&D and contribute to strategic product discussions.

• Proven experience managing a team of engineers with both frontend and backend responsibilities. • Hands-on expertise in backend technologies: Redis, Kubernetes, PostgreSQL, Python, FastAPI. • Frontend experience with React, Redux, Cesium, TypeScript, and monorepo management (npm 7). • Cloud knowledge- AWS • Strong ability to develop features end-to-end. • Experience with bug triage and collaboration with QA teams. • Ability to work closely with customers, providing support and hotfixes. • Familiarity with scalable systems and task management for large datasets like satellite imagery. • Excellent communication skills, especially in cross-functional team settings