Hiring,
Greetings from Modern Agile Technologies.
Position: Quality Engineer — Performance & Load Testing
Location: NYC, NY (Onsite)
Type: Contract (W2 Contract)
Job Description:
Job Summary
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.
Key Responsibilities
• Design and build traffic-replay and workload-generation tooling for performance and load testing.
• Develop systems capable of replaying realistic HTTP/API requests, event traffic, and WebSocket or asynchronous workloads.
• Parse and process large volumes of API, application, event, and telemetry logs to identify representative production traffic patterns.
• Transform large log exports and datasets into structured, parameterized, and replayable performance-test scenarios.
• Develop tooling to clean, normalize, anonymize, correlate, and enrich production traffic data before replay.
• Leverage LLM-assisted workflows to analyze large exports, identify meaningful traffic patterns, generate test scenarios, and accelerate workload modeling.
• Build automation that converts raw traffic data into reusable load-test configurations and scripts.
• Develop mechanisms for controlling traffic volume, concurrency, request sequencing, timing, dependencies, and event relationships during replay.
• Build scalable data-processing pipelines capable of handling large production datasets efficiently.
• Integrate traffic-replay tooling with existing performance-testing and CI/CD infrastructure.
• Analyze replay results and work with application engineers to identify performance bottlenecks and root causes.
• Partner with developers, QA engineers, SRE, DevOps, and infrastructure teams to reproduce performance issues and support remediation.
• Develop debugging and diagnostic capabilities that make performance issues easier to reproduce and investigate.
• Establish automated regression tests to detect performance degradation across software releases.
• Document tooling, workflows, test scenarios, and performance findings for use by engineering teams.
Required Qualifications
• Bachelor’s degree in computer science, Software Engineering, or a related technical field.
• 6 + years of professional software engineering experience.
• Strong programming experience with Python, Java, Go, C++, or similar languages.
• Strong understanding of HTTP, REST APIs, JSON, WebSockets, event-driven architectures, and distributed systems.
• Experience building automation, developer tooling, or data-processing systems.
• Experience working 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
