Performance Test Engineer

Martinexsa USA; United States; Remote; USD 83,000 - 152,000; Full time

Job summary

Martinexsa USA is seeking an experienced Performance Test Engineer to design, execute, and optimize performance testing strategies for enterprise retail applications. The role emphasizes Java/Spring Boot performance analysis, cloud and observability, and CI/CD automation, with a strong focus on AI-assisted workflows.

Candidates must be based in Latin America, fluent in English and Spanish, and be able to work Eastern Time hours.

Qualifications

• 5+ years of hands-on performance testing or engineering.
• Experience with LoadRunner Cloud, JMeter, BlazeMeter, NeoLoad or equivalent.
• Practical chaos engineering experience (Chaos Monkey/Chaos Mesh).
• Proficiency in Java and Spring Boot performance tuning.
• Cloud platforms such as AWS or GCP; Kubernetes and Docker knowledge.
• Experience with Grafana, Splunk, New Relic for observability.
• CI/CD automation with Bitbucket, Bamboo, Git, Ansible, etc.
• SQL and NoSQL queries for data analysis and validation.
• Model Context Protocol (MCP) integration and AI-assisted workflows.
• Fluent English and Spanish; ET hours in Latin America.

Responsibilities

• Design production-like load scenarios and performance tests.
• Execute; analyze load, stress, and stability tests.
• Root-cause analysis and collaboration with teams.
• Analyze Java/Spring Boot performance, thread dumps, heap.
• Define metrics; monitor and improve scalability and latency.
• Develop performance testing automation and reporting.
• Leverage AI-assisted workflows to boost efficiency.
• Integrate performance testing into CI/CD pipelines.
• Use observability tools to communicate trends to stakeholders.
• Suggest improvements to processes and tooling.

Skills

Performance testing

Load testing

Java performance tuning

Spring Boot tuning

CI/CD automation

Chaos engineering

Observability

AI-assisted workflows

SQL/NoSQL queries

English/Spanish bilingual

Tools

LoadRunner Cloud

JMeter

BlazeMeter

NeoLoad

Kubernetes

Docker

Grafana

Splunk

New Relic

Git

Bitbucket

Bamboo

Ansible

AI CLI / VS Code

Job description

Candidates must be based in Latin America and be fluent in both English and Spanish.

Schedule: Eastern Time (ET)

Employment Type: Full-Time Contractor

Openings: 1

About the Role

We are looking for an experienced Performance Test Engineer to join a technology team supporting enterprise retail applications. This role will be responsible for designing, executing, and optimizing performance testing strategies to ensure application scalability, stability, reliability, and overall performance.

The ideal candidate has strong hands‑on experience with performance testing tools, Java and Spring Boot performance analysis, cloud technologies, observability platforms, and CI/CD automation. Experience with chaos engineering, AI‑assisted engineering workflows, and Model Context Protocol (MCP) integrations is highly valued.

Candidates must be based in Latin America and be fluent in both English and Spanish.

Key Responsibilities

• Design performance test models and production‑like load scenarios in collaboration with development and engineering teams.
• Execute and analyze load, stress, and stability tests to identify bottlenecks and performance issues.
• Conduct root cause analysis and collaborate with technical teams to troubleshoot defects and validate performance improvements.
• Analyze Java and Spring Boot application performance, including thread dumps, heap analysis, and resource utilization.
• Define performance metrics, monitor application behavior, and recommend improvements to scalability, capacity, reliability, and response times.
• Develop and maintain performance testing automation, including shift‑left testing practices and automated reporting.
• Leverage AI‑assisted engineering workflows and tools to improve performance testing efficiency and automation.
• Integrate performance testing into CI/CD pipelines and support continuous performance validation.
• Use monitoring and observability tools to analyze performance trends and communicate findings to technical and non‑technical stakeholders.
• Recommend improvements to performance engineering processes, tools, and execution practices.

Required Qualifications

• 5+ years of hands‑on experience in performance testing or performance engineering.
• Experience with performance testing tools such as LoadRunner Cloud, JMeter, BlazeMeter, NeoLoad, or equivalent platforms.
• Practical experience with chaos engineering tools and practices, such as Chaos Monkey, Chaos Mesh, or similar solutions.
• Strong understanding of Java and Spring Boot performance tuning, including thread dump analysis and heap analysis.
• Experience with cloud platforms such as AWS, GCP, or equivalent technologies.
• Working knowledge of Kubernetes and Docker.
• Experience with performance monitoring and dashboards using Grafana, Splunk, New Relic, or similar tools.
• Experience automating CI/CD pipelines with tools such as Bitbucket, Bamboo, Git, Ansible, or similar technologies.
• Experience with service virtualization tools such as BlazeMeter, OpenText Service Virtualization, or equivalent platforms.
• Ability to write complex SQL and NoSQL queries for data extraction, validation, and performance analysis.
• Practical experience with Model Context Protocol (MCP) and integrating AI capabilities through CLI tools, VS Code, or similar development environments.
• Experience using AI‑assisted workflows to automate performance engineering tasks, improve testing processes, and generate reports beyond basic prompt‑based interactions.
• Fluent English and Spanish, with the ability to communicate effectively with cross‑functional and international teams.
• Must be currently based in a Latin American country and able to work Eastern Time (ET) hours.

Nice to Have

• Previous experience in the retail industry, particularly with high‑traffic applications, e‑commerce platforms, or enterprise retail systems.
• Experience implementing shift‑left performance testing and integrating automated performance checks into software delivery pipelines.

What We're Looking For

A proactive, analytical engineer who can independently lead performance testing activities, identify complex performance bottlenecks, collaborate effectively with development teams, and introduce modern automation and AI‑assisted practices into the performance engineering lifecycle.