Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Responsibilities
Take ownership of critical platform features from design → implementation → operation
Design scalable, resilient systems that support our engineering teams as we grow
Build and maintain the infrastructure and automation that keeps Filevine running smoothly
Partner with ML teams to run state-of-the-art ML infrastructure and pipelines
Collaborate across teams to deliver reliable, future-proof solutions without the drama
Review code thoughtfully, mentor engineers, and help set the standard for platform excellence
Continuously improve systems, tooling, and processes to reduce complexity and friction
Qualifications
5+ years building and operating software systems from inception to release to maintenance
Experience leading complex cross-team engineering efforts and designing scalable platform services
Strong understanding of distributed systems, cloud infrastructure, and automation
Comfortable reducing complexity and building systems that last
Thrives in a remote, collaborative environment (async, clear communication, ownership)
Hands-on experience with one or more major cloud providers: AWS, GCP, or Azure
Familiar with or open to using: Python, Temporal.io, Terraform, Kubernetes (we care more about engineering skill than specific tools)
