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.
Role Summary:
As a Senior Platform Engineer, you’ll build and evolve the foundation that the rest of Filevine’s engineering organization stands on. You’ll design scalable infrastructure, reliable systems, and automation that keeps our platform fast, stable, and ready for the next wave of growth. You’ll partner closely with ML teams to operate modern ML/AI pipelines, strengthen our MLOps layer, and push our platform forward.
This role isn’t about doing “DevOps tasks.” It’s about architecting systems, eliminating unnecessary toil, and making it easier and safer for every engineer to ship great software.
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)