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MACHINE LEARNING TECHNOLOGIES LLC seeks a Software Engineer to design and implement tooling and infrastructure for production-like, large-scale performance testing. You will work on traffic-replay systems, log processing, and data-driven test scenario generation, enabling teams to reproduce and fix performance issues.
Ideal candidates have deep distributed-systems experience, strong programming skills in Python/Java/Go/C++, and familiarity with modern data processing, automation, and AI-assisted
Job ID: J53863
Job Title: Software Engineer
Location: Dallas, TX
Duration: 24 Months + Extension
Domain Exposure: Real Estate
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C
Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
We are seeking a Software Engineer specializing in Performance and Load Testing to build the tooling and infrastructure required to generate realistic, production-like workloads for large-scale performance testing. This role will focus on developing traffic-replay systems, processing API and event logs, transforming large datasets into realistic test scenarios, and enabling engineering teams to reproduce and remediate performance issues.
The ideal candidate is a strong software engineer with experience in distributed systems, APIs, data processing, automation, and performance engineering, with an interest in applying AI and LLM-assisted techniques to accelerate test-scenario generation.