高级数据库性能工程师 - 远程
Senior Database Performance Engineer - Remote
性能与扩展团队确保我们的系统在增长过程中保持快速、可靠和高效。我们正在寻找一名高级数据库性能工程师,以识别并修复我们 Rails 单体应用中的慢速 MySQL 查询,提升应用响应速度和整体系统性能。在此职位中,你将负责已知的数据库性能问题,使用 Datadog 和其他分析工具发现高影响的优化机会,并解决查询模式或应用逻辑中的底层低效问题。随着时间推移,该职位还将扩展到其他数据系统的性能和可扩展性工作,如 TiDB、Elasticache 和 Opensearch,从而直接提升用户体验,实现基础设施效率,并降低运营成本。
我们希望找到一位曾构建高性能 OLTP 系统的候选人,深刻理解大规模高效 MySQL 的重要性,并知道如何识别和聚焦于最具影响力的领域。你应是一名 Rails 专家,了解使用 ActiveRecord 生成高性能 MySQL 的所有细节。你应对数据库效率充满热情!
职责
- 亲自动手识别、分析并解决 Rails 单体应用中的慢速 ActiveRecord 查询
- 通过索引、查询重写和模式改进优化查询性能
- 与 DBA 和其他技术团队合作,诊断并解决数据库瓶颈
- 通过测试和高负载下的性能测量验证所有性能改进
- 使用 Datadog 分析查询性能并发现高影响的优化机会
- 在适当的地方使用 Redis 实现选择性缓存,以减少数据库负载
- 记录发现并分享高性能查询设计的最佳实践
- 为 MySQL、TiDB、Elasticache 和 Opensearch 的长期性能和可扩展性工作做出贡献
- 深入掌握 Ruby on Rails,能够为复杂问题设计优雅且简洁的解决方案
- 深入掌握 ActiveRecord MySQL 查询优化——必须远超标准 ActiveRecord 用法
- 对 SQL 执行和引擎级别的查询优化有深入理解
- 6–10+年专业经验(高级水平)
- 有读取、理解和改进大型系统中复杂应用代码的实证能力
- 有优化查询、添加索引和解读执行计划的经验
- 能够与团队协作,共同解决问题
查看英文原文
The Performance and Scale team ensures our systems remain fast, reliable, and efficient as we grow. We’re looking for a Sr. Database Performance Engineer to identify and fix slow MySQL queries across our Rails monolith, improving application responsiveness and overall system performance. In this role, you’ll take ownership of known database performance issues, use Datadog and other profiling tools to uncover high-impact optimization opportunities, and address underlying inefficiencies in query patterns or application logic. Over time, this position will expand to include performance and scalability work across other data systems such as TiDB, Elasticache, and Opensearch—directly improving user experience, enabling infrastructure efficiency, and reducing operational costs.
We're looking for someone who has built highly performant OLTP systems, who fully understands the importance and impact of efficient MySQL at scale, and who knows how to identify and focus on the areas that will have the most impact. You should be a Rails wizard who understands all the subtleties of generating performant MySQL using ActiveRecord. You should have a passion for database efficiency!
Responsibilities
- Work hands-on to identify, analyze, and resolve slow ActiveRecord queries across the Rails monolith
- Optimize query performance through indexing, query rewriting, and schema improvements
- Collaborate with DBAs and other technical teams to diagnose and remediate database bottlenecks
- Validate all performance improvements through testing, and performance measurement at high load
- Use Datadog to analyze query performance and identify high-impact optimization opportunities
- Implement selective caching in Redis where appropriate to reduce database load
- Document findings and share best practices for performant query design
- Contribute to long-term performance and scalability efforts across MySQL, TiDB, Elasticache, and Opensearch
- Deep expertise with Ruby on Rails, able to craft elegant and minimal solutions to complex problems
- Deep expertise with ActiveRecord MySQL query optimization — must go way beyond standard ActiveRecord use
- Strong understanding of SQL execution and query optimization at the engine level
- 6–10+ years of professional experience (senior level)
- Proven ability to read, understand, and improve complex application code across large systems
- Experience tuning queries, adding indexes, and interpreting execution plans
- Comfortable partnering with DBAs and other technical teams to debug and resolve performance issues
- Clear communicator who’s unafraid to ask questions or seek domain input when needed
- Bachelor’s degree (BA or BS) or equivalent experience
Preferred Qualifications
- Familiarity with alternative database technologies such as TiDB, Elasticache, Opensearch, or DynamoDB
- Direct experience moving a Rails application to TiDB would be a huge plus
- Opinions and practical experience regarding when to choose one database technology over another
- Experience with query analysis and performance tooling (e.g., Datadog, Looker, K6)
- Experience with large-scale data migrations, and tools for doing this (e.g. gh-ost)
- Familiarity with the AWS ecosystem
What Success Looks Like
- Methodically identify, fix, and validate known slow queries across the Rails monolith, demonstrating measurable performance improvements
- Use Datadog to surface additional slow or inefficient queries, and partner with DBAs and the team to prioritize which to address next
- Navigate performance work that overlaps with our ongoing TiDB implementation, balancing short-term optimizations with long-term architectural goals
- In some cases, determine that issues are not query-related and instead require caching (Redis) or application logic changes, coordinating with code owners as needed
- Demonstrate clear, data-driven improvements in overall database health and responsiveness during peak usage and high-load jobs
Location: Flexible/Remote (within the US)
Great compensation package plus extensive benefits, including:
- 100% Remote (must be in US)
- Base salary per year (paid semi-monthly)
- Fast- paced and professional work culture
- Stock options with standard startup vesting - 1 year cliff; 4 years total
- $50 monthly communication expense stipend to go towards your phone/internet bill
- $250 stipend to enhance your WFH setup
- Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200)
- Premium medical benefits including vision and dental (100% coverage for employees)
- Company-sponsored life and disability insurance
- Paid parental bonding leave
- Paid sick leave, jury duty, bereavement
- 401k plan
- Flexible Time Off (our team members typically take off ~3-4 weeks per year)
- Volunteer Time Off
- 13 scheduled holidays
- 2x / year in-person team meet-ups (2-3 days, company paid)
Salary Range: $175,000 - 190,000
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Originally posted on Himalayas