高级数据库可靠性工程师
Senior Database Reliability Engineer
Filevine 是一家法律人工智能公司,为法律工作的未来提供法律运营智能。基于单一的真相系统,Filevine 将数据、文档、工作流程和团队整合到一个统一的平台中——现代法律工作在这里以清晰和一致的方式进行。
由 LOIS(法律运营智能系统)驱动,Filevine 在每个案件中连接上下文,将法律运营从被动转为主动。LOIS 可读取、理解并推理您的数据,揭示洞察力,自动化复杂性,并为专业人士提供清晰度和信心,让他们看到更多、知道更多、做得更多。由一群卓越的合作者和创新者推动,Filevine 的快速增长获得了德勤和《Inc.》杂志的认可,成为国内最具创新性和增长最快的科技公司之一。
职位概要:
作为高级 DBRE,您是我们的数据性能、可用性和可扩展性的守护者。您不只是管理实例;您是在自动化我们数据平台的整个生命周期。我们正在寻找一位工程师,渴望探索 AI 驱动的自动化和 MCP(模型上下文协议)集成如何将我们的运营提升到新高度——从预测性扩展到简化事件响应。从管理关键任务的 SQL Server 和 Postgres 到通过 Terraform、Docker 和 Kubernetes 进行配置,您将是我们的数据可靠性策略的核心。
薪酬信息:161,000 - 185,000 美元
该基本薪资范围代表了该职位薪资范围的低值和高值。该职位的总薪酬包将根据每位员工的所在地、资格、教育、工作经验、技能和绩效来确定。我们相信薪酬公平的重要性——所列范围只是 Filevine 员工总薪酬包的一个组成部分。该职位还享有带薪休假政策以及全面的福利包。
工作地点期望:远程办公或在以下地点之一选择混合办公/在办公室办公:旧金山、纽约、芝加哥或盐湖城
酷炫的公司福利:
- 一家充满活力、迅速发展的公司,专注于帮助组织蓬勃发展
- 医疗、牙科和视力保险(适用于全职员工)
- 具有竞争力且公平的薪酬
- 产假和陪产假(适用于全职员工)
- 短期和长期残疾保障
- 学习机会
查看英文原文
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.
Compensation Information: $161,000 - 185,000
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation: Remote or option to be hybrid/in-office in one the following locations: San Francisco, New York, Chicago, or Salt Lake City
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
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.