AI-Driven Performance & Load Testing Engineer

Quantum Technologies. LLC

Dallas (TX)

Sur place

USD 110 000 - 170 000

Plein temps

Il y a 17 heures
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Résumé du poste

Quantum Technologies. LLC is seeking a Software Engineer specializing in performance and load testing to build tooling and infrastructure that generate realistic, production-like workloads for large-scale performance testing.

You will develop traffic-replay systems, process API and event logs, transform large datasets into test scenarios, and enable engineers to reproduce and remediate performance issues. The ideal candidate has experience with distributed systems, APIs, data processing,

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.
  • Professional software engineering experience.
  • Strong programming experience in Python, Java, Go, or C++.
  • Strong understanding of HTTP, REST APIs, JSON, WebSockets, and distributed systems.
  • Experience building automation, developer tooling, or data-processing systems.
  • Experience with large datasets, logs, or high-volume production telemetry.
  • Strong understanding of software performance concepts including latency, throughput, concurrency, resource utilization, and scalability.
  • Experience with databases and SQL.
  • Ability to troubleshoot complex issues across application and infrastructure layers.
  • Strong analytical and problem-solving skills.

Connaissances

Software engineering experience
Python/Java/Go/C++
HTTP/REST/JSON
Distributed systems
Automation tooling
Data processing
Large telemetry data
SQL databases
Troubleshooting complex issues
Analytical problem solving

Formation

Bachelor's degree in CS/SE

Description du poste

Quantum Technologies. LLC is seeking a Software Engineer specializing in performance and load testing to build tooling and infrastructure that generate realistic, production-like workloads for large-scale performance testing.

You will develop traffic-replay systems, process API and event logs, transform large datasets into test scenarios, and enable engineers to reproduce and remediate performance issues. The ideal candidate has experience with distributed systems, APIs, data processing,

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