Senior Backend Engineer - Data Platform

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
The Data Platform team powers our company's data-driven innovation by building cutting-edge systems that transform raw information into actionable insights. We create sophisticated solutions across the entire data stack, from intuitive self-service analytics and seamless media ingestion to lightning-fast event processing and sophisticated A/B testing frameworks. Our team operates at the intersection of big data and user experience, designing robust platforms that balance privacy protection with cost efficiency. Join us and help architect the infrastructure that fuels data-informed decisions and directly impacts product success.
What you will be doing
Build and own the infrastructure and services required for processing and storing data from a wide variety of sources, including mobile apps and internal/external data producers.
Design and build processes to integrate a wide range of edge systems across multiple cloud providers and handheld platforms reliably.
Assist data consumers across our company in defining requirements and refining existing processes using a wide variety of tools.
Define and own the systems and processes that deliver data to the data warehouse, while maintaining these systems and the warehouse itself.
Identify bottlenecks in internal data processes and resolve them by automating workflows, optimizing data delivery and storage, and redesigning infrastructure for greater scalability.
Integrate new tools and solutions to empower the companys data consumers and help assimilate them effectively.