Senior Performance Engineer

Description

I'm on the recruitment team at Turquoise, a health tech company that uses data to make healthcare pricing more transparent for all.

We're looking for an experienced engineer who has experience working with large datasets to improve the performance of product applications for end users.

If interested apply here: https://jobs.ashbyhq.com/turquoise-health/fdcd9752-b372-467c...

Responsibilities

• Own performance investigations across the product and data stack, moving from slow queries or poor user experiences to measurable root causes and production improvements
• Design and evaluate data architecture changes
• Partner with Product, frontend, and backend engineers to adapt product behavior to the characteristics of the underlying data through techniques such as request batching, debouncing, caching, pagination…
• Develop representative benchmarks for important combinations of filters, datasets, and product workflows
• Measure query latency, throughput, concurrency, and infrastructure consumption, with particular attention to datastore performance and cost (we use ClickHouse Cloud)
• Evaluate the likely performance impact of upstream dataset changes before they reach production
• Assess future product requests and recommend technical or product approaches that balance functionality, responsiveness, scalability, and cost
• Prototype competing solutions, clearly communicate their tradeoffs, and validate the selected approach in production
• Improve performance instrumentation, monitoring, and regression detection across data-powered product experiences
• Establish reusable patterns and capabilities as the Data Product platform becomes a supporting layer for additional products and teams
• What you’ll bring to the role
• 5+ years of experience building and optimizing production data systems, data-intensive applications, or analytical products
• Advanced SQL skills and strong proficiency with Python or another general-purpose programming language
• Experience optimizing analytical workloads in column-oriented databases or data warehouses
• Experience changing how data is organized or stored to improve application performance. Examples may include restructuring tables, precomputing results, changing indexes, or optimizing how data is queried.
• Experience using query plans, profiling, benchmarks, and production telemetry to diagnose performance problems
• Ability to reason across system boundaries, including databases, APIs, backend services, client request patterns, and product interactions
• A hypothesis-driven approach to performance work: define the problem, establish a baseline, test alternatives, and quantify the production result
• A mindset of connecting technical work to user or business outcomes
• Your own product judgment, the ability to identify cases where changing the product experience is more effective than changing the underlying 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