VP of Engineering, Reliability

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. They are seeking a VP of Engineering, Reliability to lead the strategy and operations for infrastructure, site reliability, and incident management, ensuring the reliability model scales across a diversifying technology portfolio.

Responsibilities:

• Define and execute the reliability engineering roadmap, aligning infrastructure and AI-native architecture with Filevine’s enterprise growth and platform modernization
• Balance centralized platform capabilities with distributed ownership, ensuring the reliability model scales across a diversifying technology portfolio
• Establish and manage SLO/SLI/error budget frameworks to create a shared language for balancing feature velocity with system stability
• Lead infrastructure cost management (optimization and forecasting), capacity planning, and disaster recovery to meet rigorous enterprise contractual commitments
• Lead and scale a multi-disciplinary organization (DevOps, SRE, DBRE, Tooling), fostering a culture of ownership, high craftsmanship, and clear career growth
• Drive continuous improvement through DORA metrics, incident trend analysis, and systematic toil reduction to enhance service availability and deployment health
• Delivery of self-service tooling, guardrails, and documentation that allow feature teams to operate their own services effectively without bottlenecks
• Act as the primary engineering interface for the CISO to advance compliance posture (FedRAMP, SOC 2, CJIS, ISO) and translate security needs into pragmatic action
• Collaborate with the CTO, CPO, and Architect to communicate risks and investment needs, positioning reliability as a key enabler for enterprise go-to-market success

Requirements:

• 15+ years of engineering experience, with 7+ years specifically leading infrastructure, reliability, or platform teams at scale in product-driven companies
• Proven track record managing organizations of 40+ engineers across SRE, DevOps, and Tooling, including developing multiple layers of management
• Demonstrated experience evolving reliability operating models to meet the shifting needs of a scaling business
• Deep expertise operating in regulated sectors (Legal Tech, Fintech, Gov, or Healthcare) where compliance and data sensitivity are primary constraints
• Practical, production-hardened understanding of SRE principles, including SLOs, error budgets, toil reduction, and incident management
• Strong technical command of AWS, container orchestration, Terraform (IaC), CI/CD, and modern observability stacks
• Direct experience owning cloud infrastructure budgets and successfully driving meaningful cost optimization and forecasting
• Familiarity with the reliability requirements for modern AI workloads, such as model serving, vector search, and data pipeline integrity
• Ability to engage the C-suite on risk trade-offs and transformation progress with a 'builder mentality' that thrives on solving complex, high-stakes problems