Designs and engineers distributed systems for compute, scheduling, and orchestration of ML and ETL pipelines handling large-scale video data. Requires 3+ years building data infrastructure, proficiency in Go/Python, and experience with petabyte-scale pipelines and CI/CD.
Build software, services, and frameworks for network management, automation, and monitoring of large-scale GPU supercomputing fabrics. Requires deep network protocol knowledge and experience orchestrating tens of thousands of devices.
Own infrastructure, CI/CD, and developer tooling for a fast-scaling AI-native ERP. Set technical direction for reliability, security, and API design in a hybrid NYC/SF environment.
Design, build, and operate AI-powered engineering tools and developer productivity platforms. Focus on AI pairing pipelines, automated workflows, and internal tooling to accelerate engineering velocity.
Flint is seeking an Infrastructure Engineer to own the systems powering their AI-generated pages at scale. This 0-to-1 role involves building production-grade cloud architecture, CI/CD, deployments, observability, and security, with a focus on managing parallel background agents.