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Internship Loadrunner Performance Testing Jobs in Texas

Lead System Engineering

Plano, TX · On-site +1

$171K - $237K/yr

Design performance testing strategies that validate impact changes to the performance of ... Utilize testing tools including JMeter or LoadRunner or App Dynamics or Dynatrace or Grafana or ...

Lead and coordinate the testing of software produced by the project delivery team, ensuring quality ... Experience creating JMeter or LoadRunner performance scripts. * Experience with Continuous ...

Lead and coordinate the testing of software produced by the project delivery team, ensuring quality ... Experience creating JMeter or LoadRunner performance scripts. * Experience with Continuous ...

Lead System Engineering

Plano, TX · On-site

$171K - $237K/yr

Design performance testing strategies that validate impact changes to the performance of ... Utilize testing tools including JMeter or LoadRunner or App Dynamics or Dynatrace or Grafana or ...

Lead and coordinate the testing of software produced by the project delivery team, ensuring quality ... Experience creating JMeter or LoadRunner performance scripts. * Experience with Continuous ...

Test Automation Engineer

Plano, TX · On-site

$44.25 - $58.50/hr

Knowledge of performance testing tools (e.g., JMeter, LoadRunner) is a plus. Familiarity with Cloud Platforms (e.g., AWS, Azure) and virtual environments is a bonus. Strong written and verbal ...

Test Automation Engineer

Plano, TX · On-site

$44.25 - $58.50/hr

Knowledge of performance testing tools (e.g., JMeter, LoadRunner) is a plus. * Familiarity with Cloud Platforms (e.g., AWS, Azure) and virtual environments is a bonus. * Strong written and verbal ...

Test Automation Engineer

Dallas, TX · On-site

$45.75 - $60.25/hr

Knowledge of performance testing tools (e.g., JMeter, LoadRunner) is a plus. * Familiarity with Cloud Platforms (e.g., AWS, Azure) and virtual environments is a bonus. * Strong written and verbal ...

Execute defined test plans to validate simulator accuracy, consistency, and performance. * Test new ... A unique internship experience combining golf and technology. Qualifications: * Must have handicap ...

Execute defined test plans to validate simulator accuracy, consistency, and performance. * Test new ... A unique internship experience combining golf and technology. Qualifications: * Must have handicap ...

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Internship Loadrunner Performance Testing information

Which is better, JMeter or LoadRunner?

For an Internship LoadRunner Performance Testing role, LoadRunner is a comprehensive enterprise tool with extensive protocol support and detailed reporting, often preferred in large-scale environments. JMeter is an open-source, user-friendly alternative suitable for quick testing and scripting, but may lack some advanced features of LoadRunner. The choice depends on project requirements, budget, and the complexity of performance testing needed.

What is LoadRunner called now?

LoadRunner is now known as Micro Focus LoadRunner after its acquisition by Micro Focus. It remains a widely used performance testing tool for simulating user activity and analyzing system performance, often used by performance testers and QA professionals.

Is performance testing a good career?

Performance testing, including roles like LoadRunner Performance Testing, is a valuable career in software quality assurance, focusing on evaluating system responsiveness and stability under load. It requires skills in scripting, analysis, and tools like LoadRunner or JMeter, and offers opportunities in various industries with demand for performance testers. The field can provide steady employment and growth potential for those with technical expertise and certifications.

What is the difference between Internship Loadrunner Performance Testing vs Performance Tester?

AspectInternship Loadrunner Performance TestingPerformance Tester
CredentialsBasic knowledge, often pursuing related certificationsRelevant certifications like ISTQB, LoadRunner certifications
Work EnvironmentInternship setting, supervised tasks, entry-level projectsFull-time or contract roles, independent testing environments
Industry UsageUsed in training, learning, and entry-level projectsApplied in real-world performance testing scenarios across industries

The main difference is that an internship Loadrunner Performance Testing role is an entry-level position focused on learning and assisting with performance testing tasks, often under supervision. A Performance Tester is a more experienced professional responsible for designing, executing, and analyzing performance tests independently, with greater responsibilities and certifications.

Will AI replace performance testing?

AI is unlikely to fully replace performance testing roles such as LoadRunner Performance Testing, but it can automate certain tasks like data analysis and test result interpretation. Performance testers will continue to be essential for designing test scenarios, analyzing complex issues, and ensuring system reliability, often using tools that incorporate AI features. Developing skills in automation tools and understanding system architecture remain important for performance testing professionals.
What are popular job titles related to Internship Loadrunner Performance Testing jobs in Texas? For Internship Loadrunner Performance Testing jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Internship Loadrunner Performance Testing jobs? Cities in Texas with the most Internship Loadrunner Performance Testing job openings:
Site Reliability Engineer, AI & Agentic Systems

Site Reliability Engineer, AI & Agentic Systems

ServiceLink

Plano, TX • On-site, Remote

$40 - $45/hr

Temporary

Posted 12 days ago


Job description

Overview
As our SRE charter continues to evolve, this role demands strong hands-on ownership of production reliability and troubleshooting, coupled with advanced capabilities in AI- and agentic-driven automation and performance engineering.
The Site Reliability Engineer will play a critical role in ensuring reliability, scalability, performance, and operational excellence of our platforms. The ideal candidate will leverage Azure-native AI services and agentic systems to reduce toil, improve incident response, and enable intelligent operations-while also driving performance testing practices to validate system resilience under load.
**This is a hybrid role, located at our Plano, TX office. Candidates must be willing and able to work in-office 3 days per week in Plano, TX.
Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future
A DAY IN THE LIFE
In this role, you will...
  • Own end-to-end reliability of large-scale, Azure-hosted production systems, ensuring high availability, fault tolerance, and graceful degradation
  • Lead hands-on incident troubleshooting, root cause analysis (RCA), and post-incident reviews with actionable follow-ups
  • Build and operate resilient, scalable services on Microsoft Azure (AKS, App Services, Functions, Event Hubs, etc.)
  • Design and maintain comprehensive observability platforms using Prometheus for metrics, Loki for log aggregation, Tempo for distributed tracing, and Grafana for dashboarding and alerting
  • Design, develop, and execute performance testing strategies for distributed systems and microservices, including load testing, stress testing, soak testing, and capacity planning
  • Integrate AI agents with Azure monitoring stack, CI/CD tooling, and incident management platforms
  • Contribute to evolving SRE standards, tooling, operational processes, and knowledge base

Responsibilities
Reliability Engineering & Production Ownership
  • Own end-to-end reliability of large-scale, Azure-hosted production systems, ensuring high availability, fault tolerance, and graceful degradation
  • Lead hands-on incident troubleshooting, root cause analysis (RCA), and post-incident reviews with actionable follow-ups
  • Define, measure, and enforce Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets aligned with business outcomes
  • Drive proactive reliability improvements based on operational insights, failure mode analysis, and capacity planning
  • Participate in on-call rotations and take real-time ownership during production incidents

Platform & Automation Engineering
  • Build and operate resilient, scalable services on Microsoft Azure (AKS, App Services, Functions, Event Hubs, etc.)
  • Design and maintain comprehensive observability platforms using Prometheus for metrics, Loki for log aggregation, Tempo for distributed tracing, and Grafana for dashboarding and alerting
  • Create automation to eliminate manual operational tasks and reduce Mean Time to Recovery (MTTR)
  • Implement self-healing mechanisms, automated remediation workflows, and runbook automation
  • Manage and optimize API lifecycle and traffic management using Gravitee API Gateway
  • Design and implement durable, fault-tolerant workflows and microservice orchestration patterns using Temporal
  • Administer and tune PostgreSQL databases for reliability, performance, and high availability
  • Partner with application and platform teams to improve service operability, deployment safety, and change management

Performance Testing & Load Engineering
  • Design, develop, and execute performance testing strategies for distributed systems and microservices, including load testing, stress testing, soak testing, and capacity planning
  • Build and maintain performance test scripts and virtual user scenarios using Micro Focus LoadRunner and VuGen (Virtual User Generator)
  • Analyze performance test results to identify bottlenecks, regressions, and scalability limits; produce clear reports with actionable recommendations
  • Integrate performance testing into CI/CD pipelines to enable continuous performance validation and shift-left testing practices
  • Establish and monitor performance baselines, benchmarks, and SLAs across critical service endpoints and user journeys
  • Collaborate with development and architecture teams to resolve performance issues and optimize system throughput, latency, and resource utilization

AI / Agentic Engineering (Azure Focus)
  • Design and implement AI-driven and agentic systems to enhance operational workflows and intelligent decision-making
  • Build intelligent automation for operational use cases, including:
    • Incident triage, enrichment, and automated escalation
    • Alert correlation, deduplication, and noise reduction
    • Automated diagnosis and remediation of recurring failures
  • Leverage Azure AI services (Azure OpenAI, Cognitive Services, Azure ML) for operational intelligence and predictive insights
  • Integrate AI agents with Azure monitoring stack, CI/CD tooling, and incident management platforms
  • Ensure safe, reliable, and observable operation of AI-powered systems in production, including guardrails, fallback mechanisms, and audit trails

Collaboration & Technical Leadership
  • Act as a reliability, performance, and automation champion across engineering teams
  • Mentor junior SREs and influence adoption of best practices in reliability, observability, and performance engineering
  • Contribute to evolving SRE standards, tooling, operational processes, and knowledge base
  • Participate in architecture reviews and provide guidance on non-functional requirements (reliability, scalability, performance)

Qualifications
Core SRE Skills
  • 5+ years of experience in Site Reliability Engineering, DevOps, or Production Engineering roles
  • Strong hands-on experience in production troubleshooting of distributed systems at scale
  • Solid understanding of Linux internals, networking (TCP/IP, DNS, HTTP, TLS), and system performance tuning
  • Deep hands-on experience with Microsoft Azure (compute, networking, storage, managed services, AKS)
  • Strong knowledge of Kubernetes, container orchestration, Helm charts, and microservices architectures
  • Proficiency in one or more programming languages: Python, Go, Java, or equivalent
  • Experience with CI/CD pipelines (Azure DevOps, GitHub Actions) and Infrastructure as Code (Terraform, ARM Templates, Bicep)

Observability & Monitoring
  • Hands-on experience building and operating observability stacks using Prometheus, Grafana, Loki, and Tempo
  • Experience with alerting strategies, SLI/SLO-based monitoring, and on-call incident management

Performance Testing & Load Engineering
  • Proven experience designing and executing performance and load testing for large-scale distributed applications
  • Hands-on proficiency with Micro Focus LoadRunner and VuGen for scripting virtual user scenarios, parameterization, correlation, and result analysis
  • Strong understanding of performance testing methodologies: load testing, stress testing, endurance/soak testing, spike testing, and capacity planning
  • Ability to analyze performance metrics (throughput, response time, error rate, resource utilization) and translate findings into engineering actions
  • Experience integrating performance tests into automated CI/CD pipelines

Platform & Middleware
  • Experience with Gravitee or equivalent API gateway platforms for traffic management, rate limiting, and API lifecycle governance
  • Hands-on experience with Temporal for workflow orchestration, durable execution, and distributed task management
  • Strong PostgreSQL administration skills, including query optimization, replication, backup/recovery, and performance tuning

AI / Agentic Systems
  • Hands-on experience building or integrating AI-powered automation in production environments
  • Experience with agent-based systems, LLM-powered workflows, Retrieval-Augmented Generation (RAG), or intelligent assistants
  • Familiarity with Azure-based AI and ML services (Azure OpenAI, Cognitive Services, Azure ML)
  • Understanding of reliability, safety, observability, and operational challenges of AI systems in production