Senior Software Engineer, Performance
对于我们的分析和搜索产品来说，速度是产品的一部分。我们的客户在大型医疗保健定价数据集中过，比较和基准，而慢查询改变了他们对我们构建的内容有多么信任和使用。随着数据集的增长和更多产品建立在同一平台上，你将使这种体验变得快速，可扩展性和成本效益高。挑战是性能取决于筛选器，数据集和工作流量的组合，而不取决于任何单个查询。数据集更新可以在任何人注意到之前更改延迟时间，有时最好的解决方案是更好的数据模型，有时更好的产品行为。你将从 ClickHouse 到 API 到屏幕的路径进行调查，基准，原型和运输，直接与产品，前端和后端工程师合作。这是一个数据和产品性能角色，而不是负载测试，质量检验或低级系统作用。如果你想把这感觉慢变成一个基础线，假设和在生产中移动的数字，你会在这里享受它。###责任诊断并修复 - 在产品和数据堆中的自己的性能调查，将缓慢查询或差的用户体验带到测量的根源和生产修复。_ 例如：关键筛选器和数据来源组合现在更快于 x%在生产中_ - 追踪延迟，吞吐量，同步性和基础设施成本，重点关注数据库效率 （我们运行在 ClickHouse Cloud）. _示例：产品工作流现在使用了 z%少的 ClickHoase 资源而不损害用户体验._预测 - 最重要的是建立选器，数据集和工作流组合的代表性基准。- 在上游数据集变化达到生产之前评估其性能影响。_示例 - 评估未来产品需求，并建议平衡功能，响应能力，可扩展性和成本的技术或产品方法。设计和运输-设计和评估数据架构变化，如重组表格，预计算结果和改变索引。- 与产品，前端和后端工程师合作，以使用请求批量，解禁，缓存和页面化等技术来调整产品行为。- 原型竞争解决方案，明确沟通他们的折衷，并验证所选择的 approximate
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_This is a fully remote role within the United States._
For our Analyze and Search products, speed is part of the product. Our customers filter, compare, and benchmark across large healthcare pricing datasets, and a slow query changes how much they trust and use what we’ve built. You’ll make that experience fast, scalable, and cost-efficient as datasets grow and more products build on the same platform.
The challenge is that performance depends on the combination of filter, dataset, and workflow, not on any single query. A dataset update can shift latency before anyone notices, and the best fix is sometimes a better data model and sometimes a better product behavior. You’ll investigate, benchmark, prototype, and ship across the path from ClickHouse to the API to the screen, working directly with Product, frontend, and backend engineers.
This is a data and product performance role, not a load-testing, QA, or low-level systems role. If you like turning “this feels slow” into a baseline, a hypothesis, and a number that moves in production, you’ll enjoy it here.
### Responsibilities
Diagnose and fix
- Own performance investigations across the product and data stack, taking a slow query or poor user experience to a measured root cause and a production fix. _Example: a critical filter and data-source combination is now x% faster in production._
- Track latency, throughput, concurrency, and infrastructure cost, with a focus on datastore efficiency (we run on ClickHouse Cloud). _Example: a product workflow now uses z% fewer ClickHouse resources without compromising the user experience._
Anticipate
- Build representative benchmarks for the filter, dataset, and workflow combinations that matter most.
- Evaluate the performance impact of upstream dataset changes before they reach production. _Example: an incoming change is expected to increase latency by y%, and we have a mitigation plan before launch._
- Assess future product requests and recommend technical or product approaches that balance functionality, responsiveness, scalability, and cost.
Design and ship
- Design and evaluate data architecture changes, such as restructuring tables, precomputing results, and changing indexes.
- Partner with Product, frontend, and backend engineers to adapt product behavior to the data, using techniques like request batching, debouncing, caching, and pagination.
- Prototype competing solutions, communicate their tradeoffs clearly, and validate the chosen approach in production.
Build for the long term
- Improve performance instrumentation, monitoring, and regression detection across data-powered product experiences.
- Establish reusable patterns as the Data Product platform becomes a supporting layer for more products and teams.
### What you’ll bring to the role
- 5+ years building and optimizing production data systems, data-intensive applications, or analytical products
- Advanced SQL and strong Python (or another general-purpose language)
- Hands-on experience optimizing analytical workloads in column-oriented databases or data warehouses
- A hypothesis-driven approach to performance work: you use query plans, profiling, benchmarks, and production telemetry to define the problem, set a baseline, test alternatives, and quantify the result in production
- The ability to reason across system boundaries (databases, APIs, backend services, client request patterns, product interactions) and the product judgment to know when changing the experience beats changing the data system
### Bonus points
- Experience with ClickHouse
- Experience contributing to data-heavy search, filtering, analytics, or reporting products
- Experience with healthcare specific data types: claims, contract rates, revenue cycle, medical billing, or healthcare pricing experience
### Benefits
- Competitive pay with equity options
- Stellar healthcare plan options, including Medical, Dental, and Vision, with FSA, DCFSA, and HSA options
- Company-sponsored disability and life insurance
- Unlimited PTO
- 401(k) with 4% matching
- Fully remote work and flexible working hours
- $750 work-from-home setup budget
- Paid biannual in-person company summits
- Quarterly $150 co-hanging stipend to meet with coworkers
- Monthly $100 health and wellness benefit
- Generous paid family leave
- Annual $1,200 learning and development stipend
## **About Turquoise Health**
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, Adams Street, Yosemite, Bessemer Venture Partners, and others, we power price transparency for 300+ enterprise organizations and are building the infrastructure for a more open, efficient healthcare marketplace. We're a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
We operate on US business hours and work with clients entirely based in the US. For this role, we are seeking US-based candidates.
_We strongly encourage BIPOC, people with disabilities, and LGBTQIA+ folks to apply for any open roles of interest. Healthcare affects all people differently, but it significantly affects those in underserved communities. With a robust, diverse team, we are stronger and better equipped to change the future of healthcare for all._
### **Work Authorization**
This role requires current authorization to work in the United States. Turquoise does not sponsor employment visas (H-1B, PERM, etc.) or assume sponsorship of existing visas for this position.
### **Disability Accommodation Email**
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Note: All official communication from Turquoise will come from a **@turquoise.health** email address and all open roles are listed at turquoise.health/careers. We never ask candidates for payment or financial information. If you're contacted by anyone using a different domain, please disregard and report it as spam.