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 Site Reliability Engineer at Filevine, you will improve the reliability, scalability, and
operational maturity of the Filevine platform. You’ll design automation that reduces toil,
strengthen observability, support reliable deployments at scale, and solve production challenges
that keep Filevine running for legal teams across the country. This role is built for engineers
who apply software engineering principles to infrastructure problems, thrive on complex
technical challenges, and are energized by taking ownership of the systems they build and
operate — growing into deeper expertise as their platform knowledge expands
As a Site Reliability Engineer at Filevine, you will improve the reliability, scalability, and
operational maturity of the Filevine platform. You’ll design automation that reduces toil,
strengthen observability, support reliable deployments at scale, and solve production challenges
that keep Filevine running for legal teams across the country. This role is built for engineers
who apply software engineering principles to infrastructure problems, thrive on complex
technical challenges, and are energized by taking ownership of the systems they build and
operate — growing into deeper expertise as their platform knowledge expands
Responsibilities
Design, build, and maintain the monitoring, logging, distributed tracing, dashboards, and
alerting that give teams meaningful visibility into production health.
Build automation, tooling, and CI/CD improvements that increase engineering efficiency,
reduce toil, and support reliable deployments at scale.
Design, implement, and maintain reliable systems for building, deploying, testing, and
operating Filevine products — proactively identifying and resolving reliability,
performance, scalability, and security risks before they impact customers.
Participate in a shared 24/7 on-call rotation, using operational insights to drive automation
and long-term reliability improvements; continuously improve runbooks, documentation,
and engineering standards.
Take ownership of technical initiatives from design through implementation, develop deep
expertise in critical areas of the Filevine platform, and communicate clearly with technical
and business stakeholders.
alerting that give teams meaningful visibility into production health.
Build automation, tooling, and CI/CD improvements that increase engineering efficiency,
reduce toil, and support reliable deployments at scale.
Design, implement, and maintain reliable systems for building, deploying, testing, and
operating Filevine products — proactively identifying and resolving reliability,
performance, scalability, and security risks before they impact customers.
Participate in a shared 24/7 on-call rotation, using operational insights to drive automation
and long-term reliability improvements; continuously improve runbooks, documentation,
and engineering standards.
Take ownership of technical initiatives from design through implementation, develop deep
expertise in critical areas of the Filevine platform, and communicate clearly with technical
and business stakeholders.
What we are looking for
4+ years of hands-on experience in software engineering, cloud infrastructure, platform
engineering, DevOps, or related technical roles, including at least 2 years in a Site Reliability
Engineering or reliability-focused role.
-Working knowledge of distributed systems and how applications, infrastructure, and cloud
services interact in production; demonstrated ability to troubleshoot production issues,
perform root cause analysis, and drive long-term reliability improvements.
-Proficiency with Python, Bash, or similar scripting languages; experience building
production tooling, automation, or CI/CD pipelines and deployment automation.
-Hands-on experience operating Kubernetes-based workloads and cloud infrastructure in
AWS or a comparable platform, including compute, container orchestration, networking,
IAM, object storage, and cloud-native monitoring.
-Experience with Infrastructure as Code tools such as Terraform, Pulumi, or AWS
CloudFormation, and familiarity with modern observability practices including monitoring,
logging, alerting, distributed tracing, and incident response.
-Experience using AI-assisted engineering tools to improve productivity, accelerate
troubleshooting, or automate operational tasks; curiosity, ownership, and a passion for
building reliable systems through continuous improvement.
-Strong written and verbal communication skills; Bachelor’s degree in Computer Science,
Information Systems, or a related field, equivalent industry certifications, or comparable
professional experience.
engineering, DevOps, or related technical roles, including at least 2 years in a Site Reliability
Engineering or reliability-focused role.
-Working knowledge of distributed systems and how applications, infrastructure, and cloud
services interact in production; demonstrated ability to troubleshoot production issues,
perform root cause analysis, and drive long-term reliability improvements.
-Proficiency with Python, Bash, or similar scripting languages; experience building
production tooling, automation, or CI/CD pipelines and deployment automation.
-Hands-on experience operating Kubernetes-based workloads and cloud infrastructure in
AWS or a comparable platform, including compute, container orchestration, networking,
IAM, object storage, and cloud-native monitoring.
-Experience with Infrastructure as Code tools such as Terraform, Pulumi, or AWS
CloudFormation, and familiarity with modern observability practices including monitoring,
logging, alerting, distributed tracing, and incident response.
-Experience using AI-assisted engineering tools to improve productivity, accelerate
troubleshooting, or automate operational tasks; curiosity, ownership, and a passion for
building reliable systems through continuous improvement.
-Strong written and verbal communication skills; Bachelor’s degree in Computer Science,
Information Systems, or a related field, equivalent industry certifications, or comparable
professional experience.