Senior Site Reliability Engineer
Summary
Senior Site Reliability Engineer builds and maintains monitoring, automation, and CI/CD systems for Filevine’s Legal Operating Intelligence platform, using Kubernetes, AWS, and AI-driven reliability practices.
Responsibilities
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Observability & Alerting: Design and improve monitoring, logging, tracing, dashboards, and SLI/SLOs for production visibility.
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Automation & CI/CD: Build internal tools and delivery pipelines to boost efficiency, eliminate toil, and ensure reliable deployments.
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Reliability & System Quality: Drive continuous improvements in system performance, scalability, and security to mitigate customer impact.
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Incident Management: Lead production incident response from triage to resolution, turning lessons into durable runbooks and preventatives.
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Technical Leadership: Guide major technical initiatives, align cross-team engineering efforts, and manage technical risks.
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Mentorship: Elevate SRE team capability through design reviews, paired problem-solving, and incident post-mortems.
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Operations & On-Call: Join the on-call rotation while leading capacity planning and disaster recovery readiness.
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AI/ML Operationalization: Leverage operational AI/ML tools to forecast capacity risks, detect patterns, and automate system health.
Qualifications
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Experience: 8+ years in software/platform engineering or DevOps, including 5+ years dedicated to Site Reliability Engineering.
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Infrastructure & Observability: Expertise in cloud platforms (AWS), Kubernetes, IaC, and full-stack observability (tracing, logging, SLI/SLOs). Grafana, Datadog, NewRelic
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Automation & Scripting: Proficient in Python, Go, or Bash for building CI/CD pipelines, production tools, and toil-reducing automation.
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Incident Leadership: Proven track record in root cause analysis, high-severity incident response, and long-term reliability engineering.
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Leadership & Mentorship: Strong communication skills with a history of mentoring engineers, leading cross-functional projects, and setting technical strategy.
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Operational AI/ML: Hands-on experience using AI/ML on telemetry data to predict capacity risks, spot anomalies, and optimize system workflows.
Skills
As published by lever · 7 questions · 1 written answer
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Other website, What is your age range?, I identify my ethnicity as, Gender, Veteran Status
Pick from a list (6)
- Are you legally authorized to work in the United States?
- Will you now or in the future require sponsorship for employment (H1B, Visa, OPT, etc)?
- Do you have at least 5 years of hands-on Site Reliability Engineering or reliability-focused experience?
- Do you have hands-on production experience operating Kubernetes and AWS (or a comparable cloud platform), including Infrastructure as Code, monitoring, and SLOs/SLIs?
- Have you personally led complex production incidents and built automation or tooling that measurably improved reliability or reduced operational toil?
- his role requires working with highly sensitive data and includes a mandatory background check and fingerprinting certification. Are you comfortable with this requirement?
Written answers (1)
- What are your base salary expectations for your next role? Please note that we utilize geographic pay structures based on local market rates, and our final offers factor in total compensation including equity, bonus structures, and benefits.