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Performance Tester C2C Phoenix, AZ; Onsite | Local

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Tech Mirrors
Contract position
Listed on 2026-06-22
Job specializations:
  • IT/Tech
    Data Analyst, IT QA Tester / Automation
Salary/Wage Range or Industry Benchmark: 25 - 50 USD Hourly USD 25.00 50.00 HOUR
Job Description & How to Apply Below
Position: Performance Tester C2C jobs Phoenix, AZ (Onsite) | Local preferred | Contract

Position Summary

Performance Tester – Phoenix, AZ (Onsite)
Long Term Contract – $50/hr on C2C

Responsibilities
  • Design and execute performance, load, stress, soak, and scalability tests.
  • Analyze application behavior under peak and normal usage conditions.
  • Identify performance bottlenecks in application, database, infrastructure, and network layers.
  • Create test plans, test scenarios, scripts, and performance reports.
  • Collaborate with development, QA, Dev Ops, and product teams to resolve performance issues.
  • Monitor system metrics such as response time, CPU, memory, throughput, and error rates.
  • Recommend tuning, optimization, and capacity‑planning improvements.
  • Maintain performance testing tools, frameworks, and environments.
  • Support performance testing in CI/CD pipelines where applicable.
  • Validate fixes and retest after performance improvements.
Qualifications
  • Experience in performance testing and analysis.
  • Strong understanding of load, stress, endurance, spike, and volume testing.
  • Knowledge of web applications, APIs, databases, and distributed systems.
  • Experience with tools such as JMeter, Load Runner, Gatling, Neoload, or similar.
  • Ability to read and interpret logs, metrics, and monitoring dashboards.
  • Familiarity with SQL, scripting, and basic programming concepts.
  • Understanding of response times, concurrency, latency, and throughput.
  • Good problem‑solving, communication, and documentation skills.
  • Adaptability and flexibility.
  • Aptitude for technology, curiosity, passion, and startup mindset.
  • Applied statistics skills: distributions, statistical testing, regression analysis.
  • Innovative thinking.
Technical Stack
  • Java 8, Spring Boot
  • SQL, PostgreSQL, MongoDB
  • Google Cloud Platform (GCP)
  • Apache JMeter
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