Performance & Load Testing Engineer

Location: Phoenix, AZ



Experience: Strong hands-on experience in performance engineering and load testing

We are looking for an experienced Performance Engineering & Traffic Replay Engineer to design, develop, and execute load-testing scenarios, replay production-like traffic, analyze large log files, and identify performance bottlenecks across API-based and event-driven systems.

The ideal candidate should have strong scripting skills, hands-on experience with performance testing tools, and the ability to analyze performance metrics and generate realistic workloads.

• Strong experience in performance engineering, load testing, and traffic replay.

• Programming or scripting experience in Python, Java, JavaScript, or similar languages.

• Experience parsing large log files and processing structured data such as JSON, CSV, and JSONL.

• Hands-on experience with APIs and event-driven systems.

• Experience with load-testing tools such as JMeter, Gatling, k6, or Locust.

• Knowledge of traffic modeling, request sequencing, concurrency, and workload generation.

• Experience analyzing latency percentiles, throughput, error rates, and resource utilization.

• Familiarity with LLM-assisted log analysis, data extraction, or test-scenario generation.

• Strong debugging, root-cause analysis, and performance bottleneck identification skills.

• Design and execute performance, load, and traffic replay tests.

• Develop scripts to generate realistic workloads and simulate concurrent user traffic.

• Parse and analyze large volumes of logs and structured data.

• Evaluate API performance and event-driven system behavior under load.

• Analyze performance metrics and identify bottlenecks.

• Use automation and scripting to improve testing efficiency.

• Explore LLM-assisted techniques for log analysis and test-scenario generation.

• Collaborate with development and engineering teams to improve system performance and reliability.