Software Engineer(LLM) – Performance & Load Test Exp

Envision Technology Solutions
New York, New York, United StatesContractPosted Sep 17, 2026

About the role

Software Engineer(LLM) – Performance & Load Test Exp

Location: New York City, NY

Work Arrangement: Hybrid

Job Type: Contract

Job Overview

We are looking for a Software Engineer – Performance & Load Testing to build tooling and automation that enables realistic traffic replay and large-scale performance testing.

The ideal candidate will have strong software engineering and scripting skills, with experience working with API traffic, event-driven systems, logs, large data exports, and performance/load-testing workflows. This role will focus on transforming production-like traffic and historical data into realistic, replayable test scenarios and supporting engineering teams with performance remediation.

Key Responsibilities

Design and build traffic-replay tooling for performance and load-testing environments.

Develop utilities to capture, process, transform, and replay realistic HTTP/API and event-driven traffic.

Parse and analyze large volumes of API logs, event logs, application logs, and traffic exports.

Convert large data exports into structured, reusable, and replayable performance-test scenarios.

Develop data-processing pipelines to clean, normalize, correlate, and transform raw traffic data.

Build mechanisms for generating realistic request sequences, payloads, event flows, and workload patterns.

Leverage LLM/AI-assisted techniques where appropriate to accelerate log parsing, scenario generation, data transformation, and test-case creation.

Develop automation for generating and triggering performance/load-test workloads.

Ensure replay scenarios accurately represent realistic production-like traffic patterns.

Handle large datasets efficiently and design solutions that can scale with increasing traffic volumes.

Integrate traffic-replay tooling with existing performance-testing frameworks and CI/CD pipelines.

Collaborate with QA, Performance Engineering, DevOps, SRE, and Application Engineering teams.

Investigate performance issues identified during testing and provide technical support for remediation and optimization.

Analyze test results and help correlate application behavior with replayed workloads.

Write clean, maintainable, testable, and well-documented code.

Build automated validation and monitoring around traffic-replay workflows.

Document tooling, scenario-generation processes, data formats, and operational procedures.

Required Skills

4+ years of experience in Software Engineering, Performance Engineering, Test Engineering, or related roles.

Strong programming experience in Python, Java, Go, or similar languages.

Experience building automation tools, utilities, frameworks, or data-processing applications.

Strong understanding of HTTP, REST APIs, JSON, and API request/response patterns.

Experience working with application/API logs and event data.

Experience processing and transforming large data exports/datasets.

Experience designing or supporting performance/load-testing workflows.

Understanding of traffic replay, workload modeling, request sequencing, and realistic test-scenario generation.

Strong experience with scripting, automation, data parsing, and transformation.

Experience with Git and software development best practices.

Strong debugging and problem-solving skills.

Preferred Qualifications

Experience with performance/load-testing tools such as JMeter, k6, Gatling, Locust, or LoadRunner.

Experience with WebSockets, Kafka, event-driven architectures, or real-time systems.

Experience building traffic-replay or synthetic-traffic-generation frameworks.

Experience with LLMs, Generative AI, prompt engineering, or AI-assisted developer tooling.

Experience processing high-volume log data using technologies such as Kafka, Spark, Elasticsearch, or similar platforms.

Familiarity with cloud platforms such as GCP, AWS, or Azure.

Experience with Kubernetes and containerized applications.

Knowledge of observability tools such as Grafana, Prometheus, Datadog, or OpenTelemetry.

Experience troubleshooting application performance issues and supporting remediation.

Familiarity with CI/CD tools and automated performance testing.

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience.

Thanks and Regards

www.envisiontechsol.com

10130 Mallard Creek Rd, Charlotte NC, 28262

Snehil Mishra

Team Lead

Company Number+1 609-606-7003 #169

Direct Number+1 609-609-3634

Email: Snehil.mishra@envisiontechsol.com

Linkedin Url: https://www.linkedin.com/in/snehil-mishra-1104b2154/

Responsibilities

  • Design and build traffic-replay tooling for performance and load-testing environments.
  • Develop utilities to capture, process, transform, and replay realistic HTTP/API and event-driven traffic.
  • Parse and analyze large volumes of API logs, event logs, application logs, and traffic exports.
  • Convert large data exports into structured, reusable, and replayable performance-test scenarios.
  • Develop data-processing pipelines to clean, normalize, correlate, and transform raw traffic data.
  • Build mechanisms for generating realistic request sequences, payloads, event flows, and workload patterns.
  • Leverage LLM/AI-assisted techniques to accelerate log parsing, scenario generation, data transformation, and test-case creation.
  • Develop automation for generating and triggering performance/load-test workloads.

Qualifications

  • 4+ years of experience in Software Engineering, Performance Engineering, Test Engineering, or related roles.
  • Strong programming experience in Python, Java, Go, or similar languages.
  • Experience building automation tools, utilities, frameworks, or data-processing applications.
  • Strong understanding of HTTP, REST APIs, JSON, and API request/response patterns.
  • Experience working with application/API logs and event data.
  • Experience processing and transforming large data exports/datasets.
  • Experience designing or supporting performance/load-testing workflows.
  • Understanding of traffic replay, workload modeling, request sequencing, and realistic test-scenario generation.

Skills mentioned

PythonPerformance TestingAutomationREST APIsEvent-Driven ArchitectureData PipelinesDebuggingGitCI/CDGenerative AI

About Envision Technology Solutions

Envision Technology Solutions (ETS) is a leading staffing and recruitment firm specializing in providing top-tier talent and workforce solutions across industries. With a proven track record, we connect exceptional candidates with exceptional opportunities, helping businesses thrive and individuals achieve their career goals. ETS has a team of highly skilled recruiters and industry experts with in-depth knowledge of different sectors. Leveraging our expertise, we identify, attract, and select the best candidates for clients' unique requirements. Our extensive network and thorough screening processes ensure presenting only the most qualified candidates. We have expertise in IT, Technology, Finance, Accounting, Engineering, Marketing, and more. Specialized recruiters understand sector-specific challenges, enabling tailored staffing solutions. Why Choose ETS: • Proven Track Record: Proven results through successful placements and partnerships. • Extensive Talent Network: Diverse candidate sourcing through vast network. • Personalized Approach: Customized solutions for clients and candidates. • Industry Knowledge: Cutting-edge staffing solutions through trend awareness. • Commitment to Excellence: Exceptional service, exceeding expectations for success. Connect with us to stay updated on the latest job opportunities, industry insights, and professional development resources. Let us help you find the right talent or discover your next career move!

IT Services and IT Consulting51-200 employeesCharlotte, North Carolina