Performance Test Engineer
Job in
Englewood, Arapahoe County, Colorado, 80151, USA
Listed on 2026-06-03
Listing for:
Diverse Lynx
Full Time
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
Systems Engineer, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Performance Test Engineer
Work Location:
Englewood, CO 80111 - Onsite
Contract duration: 6+ Months
Target
Start Date:
01 Jun 2026
Does this position require Visa independent candidates only? No
** FULL ONSITE WORK*
* Interview Process (Is face to face required?):
No, Virtual
Job Details:
Must Have Skills
Experience with performance testing tools such as JMeter, k6, Blazemeter
Hands-on experience with AI assisted or AI powered engineering tools used in performance analysis, test automation, observability, or operational intelligence.
Proficiency in one or more scripting programming languages such as Python, Java, JavaScript, Groovy, or Shell.
Nice to have skills
Familiarity with CICD and Dev Ops tools
Strong analytical, troubleshooting, and communication skills. Experience analyzing performance metrics across application, infrastructure, and database layers. Understanding of system architecture, distributed systems, microservices, APIs, databases, caching, messaging systems cloud-native platforms
Detailed
Job Description
Design and execute end to end performance engineering strategies for web, API, database, cloud, and distributed systems. Build and maintain performance test frameworks for load, stress, spike, endurance, and scalability testing. Use AI-enabled tools and methods to improve test scenario generation work load modeling synthetic data generation test script creation and maintenance anomaly detection bottleneck identification root cause analysis predictive capacity planning Partner with development, QA, SRE, Dev Ops,
Minimum years of experience: 8-10 years
Certifications Needed :
No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Design and execute end to end performance engineering strategies for web, API, database, cloud, and distributed systems
Build and maintain performance test frameworks for load, stress, spike, endurance, and scalability testing
Use AI enabled tools and methods to improve test scenario generation, workload modeling, synthetic data generation, test script creation and maintenance, anomaly detection, bottleneck identification, root cause analysis predictive capacity planning
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