Performance Load Test Engineer - Traffic Replay Tooling

Energy Jobline ZR

New York (NY)

On-site

USD 150,000 - 190,000

Full time

7 days ago
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Job summary

Energy Jobline ZR in New York City is seeking a Software Quality Engineer specializing in Performance and Load Testing to design tooling that generates realistic workloads for large-scale tests. You will build traffic-replay systems, analyze logs, and transform data into reusable test scenarios to help teams reproduce performance issues.

The role collaborates with developers, QA, SRE, DevOps, and infrastructure teams, leveraging LLM-assisted workflows to analyze protected exports and accelerate

Qualifications

  • Bachelor’s degree in CS or related field.
  • 6+ years of professional software engineering experience.
  • Strong programming in Python, Java, Go, or C++.
  • Strong understanding of HTTP, REST APIs, JSON, WebSockets, and distributed systems.

Responsibilities

  • Design and build traffic-replay and workload tooling for performance and load testing.
  • Develop systems that replay realistic HTTP/API requests, event traffic, WebSocket interactions, and asynchronous workloads.
  • Parse API, application, event, and telemetry logs to identify representative production traffic patterns.
  • Transform large log exports into structured, parameterised, replayable test scenarios.
  • Build tooling to clean, normalise, anonymise, correlate, and enrich production traffic data before replay.
  • Automate conversion of raw traffic data into reusable load-test configurations and scripts.

Skills

Python
Java
Go
C++
Performance testing
Load testing
Distributed systems

Education

Bachelor’s degree in Computer Science / Software Engineering

Tools

Traffic replay tooling
Data processing pipelines

Job description

Energy Jobline ZR in New York City is seeking a Software Quality Engineer specializing in Performance and Load Testing to design tooling that generates realistic workloads for large-scale tests. You will build traffic-replay systems, analyze logs, and transform data into reusable test scenarios to help teams reproduce performance issues.

The role collaborates with developers, QA, SRE, DevOps, and infrastructure teams, leveraging LLM-assisted workflows to analyze protected exports and accelerate

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