Performance Tester

COVET IT INC; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Covet IT Inc. seeks a Software Engineer focused on performance and load testing to build tooling and infrastructure for realistic workload generation and replayable scenarios. You will process logs, transform datasets, and enable teams to reproduce performance issues across large-scale systems.

The role emphasizes Python/Java/C++ proficiency, distributed systems understanding, and building automation for scalable load-testing workflows in a modern CI/CD environment.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 6+ years of professional software engineering experience.
• Strong programming experience with Python, Java, Go, or C++.

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.

Skills

Python

Java

Go

C++

Distributed systems

Education

Bachelor's degree in Computer Science, Software Engineering, or related field

Job description

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.