Filevine is forging the future of legal work with cloud-based workflow tools. We have a reputation for intuitive, streamlined technology that helps professionals manage their organization and serve their clients better. We’re also known for our team of extraordinary and passionate professionals who love working together to help organizations thrive. Our success has catapulted Filevine to the forefront of our field—we are ranked as one of the most innovative and fastest-growing technology companies in the country by both Deloitte and Inc.
Our Mission
Filevine is building the seamless intersection between legal and business by creating a world- class platform to help professionals scale.
Role Summary:
You’ll be part of the team building out the platform that the rest of the engineering team depends on to do their job. Your responsibilities will include end-to-end ownership of our infrastructure, MLOps, monitoring systems, and helping out other engineers build solutions that stand the test of time. We are not looking for DevOps engineers but someone willing to automate themselves out of the job!
Responsibilities
- Leading by example and taking ownership for the delivery of complex features.
- Design scalable systems that stand the test of time & collaborate with other engineers to ensure timely delivery.
- Partner with the ML team to run state-of-the-art ML infrastructure.
- Perform code reviews for your peers, mentor other engineers via well-constructed and actionable feedback.
- Learn and help others get better while you grow.
Qualifications
- At least 5 years of professional software engineering experience, building and hosting software products from inception to release and maintenance.
- Experience leading complex cross-team engineering efforts and designing scalable services.
- Enjoys minimizing complexity and maintenance burden.
- Thriving in a collaborative and remote environment, efficient in remote setup.
- We mainly use Python, Temporal.io, Terraform and Kubernetes. We care about your engineering skill rather than specific language framework or tooling.
- Hands-on experience with one or more cloud providers, such as AWS, GCP, or Azure.