Key skills
Microsoft SQL ServerPostgreSQLSnowflakeTerraformDockerKubernetesAWSGitLabOctopus DeployPythonPowerShellC#MCP (Model Context Protocol)ORM OptimizationDynamoDBOpenSearchRedisCSQLAILLMK8sPostgresSQL ServerMSSQL
About this role
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. As a Senior Database Reliability Engineer, you will be responsible for automating the entire lifecycle of the data platform and ensuring the performance, availability, and scalability of the data systems.
Responsibilities:
- 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
- Support our data warehouse ecosystem by optimizing Snowflake performance, including application packaging and testing
- Own the deep-level optimization of MSSQL (crucial for on-call stability) and PostgreSQL at the server, database, and query levels
- Forecast resource utilization across platforms. Identify cost-saving opportunities, optimize Snowflake credit usage, and right-size AWS infrastructure
- Automate all data infrastructure using Terraform, AWS, Docker, and Kubernetes. You will manage containerized data services and stateful workloads
- Manage and optimize deployment pipelines using GitLab and Octopus Deploy, ensuring safe, repeatable database schema changes
- Create technical documentation, including runbooks, "how-to" guides for developer self-service, and clear architectural diagrams
- Serve as the subject matter expert for SQL Server, Postgres, and Snowflake in a 24/7/365 on-call rotation
Requirements:
- 8+ years of experience maintaining and optimizing high-traffic production databases, specifically Microsoft SQL Server, PostgreSQL
- Expert knowledge in Snowflake
- Professional experience with Terraform, AWS, GitLab, and Octopus Deploy
- Expert-level knowledge of Docker and production experience running stateful applications within Kubernetes (K8s)
- Knowledge of MCP (Model Context Protocol) and experience using LLMs to assist in coding or system automation
- Expert-level Python and PowerShell skills
- Familiarity with C# and object-oriented programming (OOP)
- Expert in tuning queries generated from ORMs (Entity Framework, Dapper, etc.)
- Hands-on experience with Snowflake (packaging/testing) and DynamoDB
- Familiarity with OpenSearch, Redis and DynamoDB
- B.S./M.S. in Computer Science, Information Systems, or equivalent direct work experience