Senior Database Reliability Engineer

Filevine

About The Position

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 platformâwhere 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, Filevineâs 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 Senior DBRE, you are the guardian of our dataâs performance, availability, and scalability. You aren't just managing instances; you are automating the entire lifecycle of our data platform. We are looking for an engineer who is eager to explore how AI-driven automation and MCP (Model Context Protocol) integrations can take our operations to the next levelâfrom predictive scaling to streamlining incident response. From managing mission-critical SQL Server and Postgres to provisioning via Terraform, Docker, and Kubernetes, you will be the backbone of our data reliability strategy.

Requirements

DBA Fundamentals: 8+ years of experience maintaining and optimizing high-traffic production databases, specifically Microsoft SQL Server, PostgreSQL
Expert knowledge in Snowflake.
DevOps Expertise: Professional experience with Terraform, AWS, GitLab, and Octopus Deploy.
Containerization & Orchestration: Expert-level knowledge of Docker and production experience running stateful applications within Kubernetes (K8s).
AI & Integration: Knowledge of MCP (Model Context Protocol) and experience using LLMs to assist in coding or system automation.
Scripting & Programming: Expert-level Python and PowerShell skills. Familiarity with C# and object-oriented programming (OOP).ORM Optimization: Expert in tuning queries generated from ORMs (Entity Framework, Dapper, etc.).
The Data Stack: Hands-on experience with Snowflake (packaging/testing) and DynamoDB.
Familiarity with OpenSearch, Redis and DynamoDB.
Education: B.S./M.S. in Computer Science, Information Systems, or equivalent direct work experience.

Responsibilities

Automation Evolution: Proactively explore and implement AI tools, LLM integrations, and MCP (Model Context Protocol) to reduce routine database toil, optimize query performance, and accelerate incident resolution. We want a creative mind to help evolve our operational duties.
Modern Data Stack: Support our data warehouse ecosystem by optimizing Snowflake performance, including application packaging and testing.
Performance Engineering: Own the deep-level optimization of MSSQL (crucial for on-call stability) and PostgreSQL at the server, database, and query levels.
Capacity Planning & Cost Optimization: Forecast resource utilization across platforms. Identify cost-saving opportunities, optimize Snowflake credit usage, and right-size AWS infrastructure.
Infrastructure as Code (IaC) & Orchestration: Automate all data infrastructure using Terraform, AWS, Docker, and Kubernetes. You will manage containerized data services and stateful workloads.
CI/CD & Release Management: Manage and optimize deployment pipelines using GitLab and Octopus Deploy, ensuring safe, repeatable database schema changes.
Documentation & Knowledge Sharing: Create technical documentation, including runbooks, "how-to" guides for developer self-service, and clear architectural diagrams.
On-Call & Triage: Serve as the subject matter expert for SQL Server, Postgres, and Snowflake in a 24/7/365 on-call rotation.