Senior Fullstack Engineer

With built-in AI, end-to-end usability, and real-time connectivity, Factified documents usher in a new age of efficiency, security, and personalization for the enterprise. We are bringing to market a document platform that transforms documents, just as the cloud transformed software applications. Our Smarter Document format disrupts an outdated, siloed, 500-billion dollar industry with revolutionary document experience, document applications and enterprise AI. We are a fast-growing, silicon valley early stage company founded by a winner of the Mathematics Shaw Prize, often called the “Nobel for Math”, and by a Computer Science professor at Hebrew University. Our technology is foundational, not incremental, and was developed over a decade of research. Our leadership team includes company builders and tech entrepreneurs, as well as engineering, product and sales experts. Factify has raised a very significant seed round. The investors backing us are seasoned company builders, visionaries and engineers who have built world-famous tech teams and hold key tech, business and academia leadership positions. We’re looking for a Senior Backend Engineer to lead and join our backend engineering team. As a Backend Tech Lead, you are a technical leader who balances high-level systems design with hands-on execution. You aren't just assigned tasks, you identify the most challenging technical bottlenecks within your domain and lead the effort to solve them. You will work across related teams to ensure architectural consistency, distributed systems while maintaining a high bar for code quality and operational excellence. You will… While you spend a significant portion of your time coding and reviewing critical pull requests, your greatest impact comes from leveling up the engineers around you. Own the design and development of production-grade APIs and infrastructure powering our document platform Architect and implement scalable microservices in Go Drive the development of advanced document processing and AI infrastructure (including model serving and data pipelines) Ensure high system reliability, observability, and performance at scale Foster a culture of engineering excellence, collaboration, and continuous improvement Collaborate cross-functionally with product, frontend, and AI teams