Description
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.
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.
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.
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.
Additional Information
The base salary range for this position is $147,000 - $168,000 per year. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.