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Performance Testing Engineer Jobs in Chicago, IL

Wise Skulls

AI Architect

Chicago, IL · On-site

$172K/yr

... in performance engineering. * Architect AI Solutions for integrating predictive analytics, anomaly detection, and intelligent insights into performance testing workflows. * Collaborate with ...

DCM INFOTECH LIMITED

SDET

Chicago, IL · On-site

The ideal candidate will have strong expertise in Java-based test automation, API testing, performance testing, CI/CD, and Agile development practices, along with the ability to mentor engineers and ...

Epitec

IT Software Engineer 4

Chicago, IL · On-site

$89 - $91/hr

... automation, integration testing, performance testing, and technical leadership. Key ... Product Owners, developers, and business stakeholders to resolve issues and understand ...

Raks Group

QA Engineer with Gen AI

Chicago, IL

Automation Testing * Develop and maintain automated test suites for UI, API, and performance ... Collaborate with development and DevOps teams to integrate tests into CI/CD pipelines. * Identify ...

Kasmo Global

SDET

Chicago, IL · On-site

$51.50 - $66.50/hr

IT Software Engineer 4 Pay: 90-95/hr on C2C Building Location: Chicago, IL - worker will need to ... Experience load and performance testing * Strong documentation skills Soft Skills (Required)

Kaav Inc.

Senior Test Automation Engineer

Chicago, IL · On-site

AKA Senior SDET Extend testing automation framework using JAVA/JAVA Script. Take ownership in ... based performance testing using JMeter • Experience testing full stack and integration testing ...

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Performance Testing Engineer information

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$11

$61

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How much do performance testing engineer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for performance testing engineer in Chicago, IL is $61.97, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $70.14 per hour, depending on experience, location, and employer.

What are some common challenges Performance Testing Engineers face in their daily work?

Performance Testing Engineers often encounter challenges such as replicating realistic user loads, managing complex testing environments, and interpreting large volumes of test data to pinpoint system bottlenecks. Coordinating with development, DevOps, and product teams to align on performance requirements and quickly address issues can also be demanding, especially in fast-paced agile environments. Staying updated with evolving tools and technologies is essential to deliver accurate and comprehensive test results. These challenges require a combination of technical expertise, teamwork, and adaptability to ensure robust application performance in production.

What is a Performance Testing Engineer job?

A Performance Testing Engineer is responsible for evaluating the speed, scalability, and stability of software applications under various conditions. They design and execute performance tests, analyze results, and identify bottlenecks to ensure optimal system efficiency. Their role involves using tools like JMeter, LoadRunner, or Gatling to simulate user load and assess application performance. They collaborate with developers and stakeholders to optimize system performance and enhance user experience.

What are the key skills and qualifications needed to thrive in the Performance Testing Engineer position, and why are they important?

To thrive as a Performance Testing Engineer, you need a solid foundation in software testing, performance analysis, and scripting/programming, typically backed by a degree in computer science or a related field. Experience with tools such as LoadRunner, JMeter, or Gatling, and knowledge of monitoring solutions like New Relic or Dynatrace, along with relevant certifications, are highly valued. Strong analytical thinking, problem-solving skills, and effective communication enhance your ability to report findings and collaborate with cross-functional teams. These competencies are crucial for identifying bottlenecks, ensuring system reliability, and delivering optimal user experiences.

What are popular job titles related to Performance Testing Engineer jobs in Chicago, IL? For Performance Testing Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Performance Testing Engineer jobs in Chicago, IL look for? The top searched job categories for Performance Testing Engineer jobs in Chicago, IL are:
Performance Testing Engineer jobs near you
Infographic showing various Performance Testing Engineer job openings in Chicago, IL as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,889 per year, or $62 per hour.
AI Architect

AI Architect

Wise Skulls

Chicago, IL • On-site

$172K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Title: AI Architect
Location: Chicago, IL - Hybrid
Duration: 6 months (possibility of an extension)
Implementation Partner: Infosys
End Client: To be disclosed (Financial)
JD:
  • Architect AI Solutions for integrating predictive analytics, anomaly detection, and intelligent insights into performance testing workflows.
  • Collaborate with Performance Testing Teams to identify areas where AI can optimize test design, execution, and analysis.
  • Design and Implement Agentic Models for:

  1. Predicting system performance under varying loads.
  2. Detecting anomalies and bottlenecks in real-time
  3. Automating root cause analysis.
  • Integrate AI with Existing Tools like LoadRunner, JMeter, AppDynamics, Grafana, Kibana, and APM solutions.
  • Develop Data Pipelines for collecting, cleaning, and processing performance metrics from multiple sources (logs, monitoring tools, etc.).
  • Ensure Scalability and Security of AI solutions within enterprise environments.
  • Provide Technical Leadership and mentor teams on AI adoption in performance engineering.
  • Architect AI Solutions for integrating predictive analytics, anomaly detection, and intelligent insights into performance testing workflows.
  • Collaborate with Performance Testing Teams to identify areas where AI can optimize test design, execution, and analysis.
  • Design and Implement Agentic Models for:
  1. Predicting system performance under varying loads.
  2. Detecting anomalies and bottlenecks in real-time.
  3. Automating root cause analysis.
  • Integrate AI with Existing Tools like LoadRunner, JMeter, AppDynamics, Grafana, Kibana, and APM solutions.
  • Develop Data Pipelines for collecting, cleaning, and processing performance metrics from multiple sources (logs, monitoring tools, etc.).
  • Ensure Scalability and Security of AI solutions within enterprise environments.
  • Provide Technical Leadership and mentor teams on AI adoption in performance engineering.

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