Senior Site Reliability Engineer

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 you will be embedded with a cross functional team who has key responsibilities for certain portions of our systems. Over the course of the first year you will gain the valuable context needed to be truly effective and move at speed in the Filevine environment. During your successive years you will be given specific mission critical objectives that help build out and improve our autonomous systems and simultaneously build out your personal brand as an exceptional engineer who has built and maintained amazing systems that can grow to internet scale.

Observability & Alerting: Design and improve monitoring, logging, tracing, dashboards, and SLI/SLOs for production visibility. Automation & CI/CD: Build internal tools and delivery pipelines to boost efficiency, eliminate toil, and ensure reliable deployments. Reliability & System Quality: Drive continuous improvements in system performance, scalability, and security to mitigate customer impact. Incident Management: Lead production incident response from triage to resolution, turning lessons into durable runbooks and preventatives. Technical Leadership: Guide major technical initiatives, align cross-team engineering efforts, and manage technical risks. Mentorship: Elevate SRE team capability through design reviews, paired problem-solving, and incident post-mortems. Operations & On-Call: Join the on-call rotation while leading capacity planning and disaster recovery readiness. AI/ML Operationalization: Leverage operational AI/ML tools to forecast capacity risks, detect patterns, and automate system health.

Experience: 8+ years in software/platform engineering or DevOps, including 5+ years dedicated to Site Reliability Engineering. Infrastructure & Observability: Expertise in cloud platforms (AWS), Kubernetes, IaC, and full-stack observability (tracing, logging, SLI/SLOs). Grafana, Datadog, NewRelic Automation & Scripting: Proficient in Python, Go, or Bash for building CI/CD pipelines, production tools, and toil-reducing automation. Incident Leadership: Proven track record in root cause analysis, high-severity incident response, and long-term reliability engineering. Leadership & Mentorship: Strong communication skills with a history of mentoring engineers, leading cross-functional projects, and setting technical strategy. Operational AI/ML: Hands-on experience using AI/ML on telemetry data to predict capacity risks, spot anomalies, and optimize system workflows.

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