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Performance Engineer Jobs in Plano, TX (NOW HIRING)

Photon

QA Engineer (Performance)- Dallas, TX

Dallas, TX · On-site

$138K/yr

We are looking for a Performance QA Engineer to specialize in benchmarking and optimizing our Agentic AI platform . You will be the gatekeeper of the "User Experience of Thought," ensuring that as ...

Conscientia Corp

QA CoE Lead Performance Engineer

Plano, TX · On-site

$123K/yr

Mentors, coaches, and monitors junior QA team members Qualifications SKILLS REQUIRED: * 10+ years' experience in performance testing and engineering * Hands-on ability to plan, script, and execute ...

Conscientia Corp

QA CoE Lead Performance Engineer

Plano, TX · On-site

$123K/yr

Mentors, coaches, and monitors junior QA team members Qualifications SKILLS REQUIRED: * 10+ years' experience in performance testing and engineering * Hands-on ability to plan, script, and execute ...

campus4tech

Dynatrace Engineer

Dallas, TX · On-site

Job Title- Dynatrace Engineer Duration- 6 months CTH Location: Dallas, TX Hybrid - 3 Days onsite ... Provide expertise in implementing and utilizing Dynatrace to improve application performance ...

UST Xpanxion

POS Engineer

Irving, TX · On-site

UST Xpanxion is seeking a POS Engineer to assist with the configuration, management, and testing of point of sales systems. The role involves serving as a technical expert in POS technologies to ...

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All JobsPerformance Engineer JobsPerformance Engineer Jobs in Plano, TX

Performance Engineer information

See Plano, TX salary details

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How much do performance engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for performance engineer in Plano, TX is $57.77, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $65.38 per hour, depending on experience, location, and employer.

What is the difference between Performance Engineer vs Software Test Engineer?

AspectPerformance EngineerSoftware Test Engineer
Primary FocusOptimizing system performance, load testing, scalabilityFunctional testing, bug identification, feature validation
Required SkillsPerformance testing tools, scripting, system analysisTest case design, automation, defect tracking
Work EnvironmentDevelopment teams, QA, DevOpsQA teams, development teams
CertificationsPerformance testing certifications (e.g., JMeter, LoadRunner)ISTQB, software testing certifications

Performance Engineers focus on system performance, scalability, and load testing, ensuring applications run efficiently under stress. Software Test Engineers primarily verify functionality and identify bugs. While both roles require testing skills, Performance Engineers specialize in performance metrics and optimization, making their roles complementary but distinct.

What is the work of performance engineer?

A performance engineer is responsible for analyzing, testing, and optimizing software or system performance to ensure reliability and efficiency. They use tools like load testing and monitoring software to identify bottlenecks and improve system scalability, often working closely with development and operations teams.

What are the key skills and qualifications needed to thrive as a performance engineer, and why are they important?

To thrive as a Performance Engineer, you need strong analytical abilities, a solid understanding of software architecture, and experience with load testing and profiling, often supported by a degree in computer science or a related field. Familiarity with tools such as JMeter, LoadRunner, New Relic, and monitoring systems, as well as scripting languages, is typically required. Excellent problem-solving, attention to detail, and effective communication skills help distinguish top performers in this role. These skills and qualities are crucial for identifying system bottlenecks, optimizing performance, and ensuring a seamless user experience.

What do performance engineers do?

Performance engineers analyze and optimize software systems to ensure they meet performance requirements, such as speed, scalability, and stability. They use tools like load testing and monitoring software to identify bottlenecks and improve system efficiency, often working closely with development and QA teams. Strong knowledge of scripting, performance testing tools, and system architecture is essential for this role.

What is a performance engineer?

A Performance Engineer is a professional who ensures that software applications and systems run efficiently and meet performance requirements. They analyze, test, and optimize system performance by identifying bottlenecks, conducting load and stress testing, and recommending improvements. Performance Engineers work closely with development and operations teams to ensure that applications can handle expected user loads and deliver a smooth user experience. Their work is crucial in preventing slowdowns, crashes, and other performance-related issues in production environments.

What is performance engineering?

Performance engineering is the development of software solutions for specific business problems. As a performance engineer, your responsibilities are to identify issues, whether for a particular company or an industry, and develop software that directly addresses them. To become a performance engineer, you need a bachelor’s degree in computer science or computer engineering, two to five years of information technology (IT) work experience, and excellent problem solving skills. Organizations like HyPerformix offer professional certifications, like their Enterprise Performance Engineering program, which can significantly boost your qualifications. Your additional job duties include performing routine maintenance and service, experimenting with possible solutions in the test environment, and monitoring system performance.

What are some common challenges performance engineers face when optimizing complex systems?

Performance Engineers often encounter challenges such as identifying bottlenecks in multi-tiered or distributed systems, balancing trade-offs between speed and resource consumption, and ensuring that performance improvements do not compromise system reliability. They frequently work with cross-functional teams, requiring strong communication skills to translate technical findings into actionable recommendations. Staying up-to-date with evolving tools and best practices is also essential, as technology stacks and performance benchmarks continually change.
More about Performance Engineer jobs
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What are popular job titles related to Performance Engineer jobs in Plano, TX? For Performance Engineer jobs in Plano, TX, the most frequently searched job titles are:
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What cities near Plano, TX are hiring for Performance Engineer jobs? Cities near Plano, TX with the most Performance Engineer job openings:
Performance Engineer jobs near you
Infographic showing various Performance Engineer job openings in Plano, TX as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $120,166 per year, or $57.8 per hour.

QA Engineer (Performance)- Dallas, TX

Photon

Dallas, TX • On-site

$138K/yr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description


We are looking for a Performance QA Engineer to specialize in benchmarking and optimizing our Agentic AI platform. You will be the gatekeeper of the "User Experience of Thought," ensuring that as our AI agents plan, reason, and execute tasks, they do so within acceptable timeframes and cost-efficiency boundaries.
Your mission is to stress-test the entire AI pipeline-from the initial prompt to the final autonomous action-identifying bottlenecks in LLM response times, RAG (Retrieval-Augmented Generation) retrieval speeds, and third-party API orchestration.
Key Responsibilities
  • Latency Benchmarking: Measure and optimize TTFT (Time to First Token) and Total Request Latency for complex agentic workflows that involve multiple reasoning steps.
  • Agentic Loop Stress Testing: Simulate high-concurrency environments to see how the system handles hundreds of autonomous agents running simultaneously, particularly focusing on API rate limits and GPU/compute bottlenecks.
  • RAG Performance Analysis: Test the speed and efficiency of the vector database retrieval process. Identify how increasing the "context window" size impacts overall system performance.
  • Token Throughput Monitoring: Analyze the "tokens per second" (TPS) metrics and identify when model-switching (e.g., from a large model to a smaller one) is necessary to maintain performance.
  • Cost vs. Performance Optimization: Create reports that balance performance gains against token costs, helping the team find the "sweet spot" for production-grade agents.
  • Orchestration Bottleneck Identification: Use profiling tools to find delays in the "hand-off" between different agents or between the agent and external tools (APIs, databases).
  • Automated Performance Regressions: Integrate performance testing into the CI/CD pipeline to ensure that new prompt versions or architectural changes don't degrade the agent's speed.

Required Skills & Qualifications
  • Experience: 8+ years in Performance Engineering, with a specific focus on AI/ML applications or high-concurrency distributed systems.
  • Tooling Proficiency: Expert-level experience with performance testing tools like Locust, JMeter, or k6, specifically customized for Python-based AI backends.
  • Python Mastery: Strong ability to write custom scripts to simulate complex, multi-step user/agent interactions.
  • AI Infrastructure Knowledge: Understanding of LLM-specific performance factors, such as quantization, KV caching, and the impact of different model architectures on latency.
  • Observability Expertise: Experience with tools like Prometheus, Grafana, LangSmith, or Weights & Biases to monitor system health and AI-specific metrics.
  • Database Performance: Experience testing the query latency of Vector Databases under heavy load.

Compensation, Benefits and Duration
Minimum Compensation: USD 38,000
Maximum Compensation: USD 133,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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