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Performance Test Engineer; Remote

Remote / Online - Candidates ideally in
Hamilton, Butler County, Ohio, 45011, USA
Listing for: A&F Management Co.
Remote/Work from Home position
Listed on 2026-07-16
Job specializations:
  • Software Development
    AI QA / Validation Engineer, Software Testing, AI Reliability/ Performance Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Performance Test Engineer (Remote)
Job Description:

We are seeking a Performance Test Engineer who helps teams build fast, stable, and scalable services and web experiences. This role focuses on designing, executing, and evolving performance tests that provide fast feedback, uncover risks early, and protect the customer experience under real‑world conditions.

You’ll work closely with delivery teams to embed performance thinking into everyday engineering—well before release time. Rather than testing at the end, you’ll help teams validate latency, scalability, and resilience continuously through automation, CI/CD integration, and observability‑driven insights.

You’ll begin by learning our service landscape, React front‑end architecture, customer journeys, and operational patterns. From there, you’ll design and execute k6‑based performance tests (JavaScript), support Playwright‑driven synthetic journeys, and help teams interpret results to make informed engineering decisions.

This is not a siloed performance role. Delivery teams own quality and performance.

Your role is to enable, implement, and operationalize performance testing so it becomes a natural part of how teams build and release software.

Your mission is clear: help ensure our applications remain responsive, resilient, and reliable—especially when it matters most.

What You’ll Contribute Performance testing embedded early in development and design

Reliable, repeatable performance automation across services and UIClear visibility into latency, throughput, and scalability risks

Actionable performance feedback integrated into CI/CDStrong collaboration between QE, Engineering, and SREWhat Will You Do?

Apply a Performance‑First Mindset Participate in design and refinement discussions to understand performance expectations and risks

Help translate customer experience goals into measurable performance targets

Identify performance risks related to service dependencies, data access, caching, and front‑end rendering

Design and Execute Performance Tests Build and maintain performance, load, stress, and endurance tests

Develop realistic workload models that reflect production usage patterns

Execute tests across APIs, microservices, event flows, and web journeys

Support Performance Engineering Across Services and Web Create reusable test scripts, templates, and utilities

Contribute to shared performance testing standards and practices

Help teams interpret test results and identify meaningful bottlenecks

Performance Testing in CI/CDIntegrate automated performance checks into pipelines

Support baseline creation, regression detection, and fail‑fast signals

Maintain version‑controlled performance‑as‑code assets

Strengthen Observability and Diagnostics Use observability tools to analyze performance test results

Correlate performance metrics with logs, traces, and user experience data Assist in investigating performance regressions and incidents

Support Scalability and Readiness Participate in readiness activities for major releases and peak traffic events

Validate behavior under load, including retries, timeouts, caching, and rate limits

Help confirm systems meet defined non‑functional requirements (NFRs)
Qualifications

Required8 years of experience in Performance Testing, Quality Engineering, or Software Engineering Hands‑on experience with performance/load testing tools (e.g., k6, JMeter, Neoload, Locust, or similar)
Experience writing performance tests using JavaScript or similar scripting languages

Understanding of API testing (REST; GraphQL a plus)
Experience executing stress, endurance, spike, and scalability tests

Familiarity with CI/CD pipelines and automated test execution

Basic understanding of cloud‑native architectures (containers, Kubernetes concepts)
Ability to analyze test results and communicate findings clearly

Strong collaboration skills in Agile, cross‑functional teams

Preferred

Experience running performance tests in containerized or Kubernetes environments

Exposure to Playwright or similar tools for synthetic user journeys

Familiarity with observability tools such as Dynatrace, Splunk, Grafana, or Open Telemetry Experience  with React‑based front‑end applications

Experience with backend services (e.g.,…
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