Site Reliability Engineer

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

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.

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.