Senior Database Reliability Engineer
filevine
United States
Posted Feb 23, 2026
- Full-time
- Remote
- Engineering
Job description
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 **Senior DBRE**, you are the guardian of our data’s 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 level—from 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. ### 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. ### Qualifications - **DBA Fundamentals:** 10+ years of experience maintaining and optimizing high-traffic production databases, specifically **Microsoft SQL Server**, **PostgreSQL** - the need is for more of **a Database Engineer** rather than administrator - knowledge in **Snowflake is a very bug plus** - **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: a big plus is a** 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.