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Performance Testing Architect Jobs in McKinney, TX

Select Minds LLC

AI Tools & Testing Architect

Dallas, TX · On-site

$150K/yr

... performance, cost, and reliability. Engineering Enablement & Collaboration • Collaborate with ... Architecture frameworks Success Criteria • Demonstrated impact in: • Improving testing ...

Now100

Performance Tester (EAD's accepted)

Dallas, TX · On-site +1

... Architecture. * Expertise in Holiday Readiness. * Developed production readiness plan including capacity planning, risk assessment, performance and destructive testing, monitoring and disaster ...

Photon

QA Performance Engineer - Dallas, TX

Dallas, TX · On-site

$138K/yr

Work closely with DevOps to integrate performance testing into CI/CD pipelines. Provide actionable ... Preferred Qualifications Experience with microservices architecture and containerized environments ...

Photon

QA Performance Engineer - Dallas, TX

Dallas, TX

$138K/yr

Work closely with DevOps to integrate performance testing into CI/CD pipelines. Provide actionable ... Preferred Qualifications Experience with microservices architecture and containerized environments ...

DTCC

Lead Performance Test Engineer

Coppell, TX · On-site

... non-functional testing, and (c) test architecture and enablement. Other key focuses include ... The Performance Test Engineering role is responsible for the validation of non-functional ...

Sarian, Inc.

Software Performance engineer

Dallas, TX · On-site

$138K/yr

Solid understanding of software architecture, including multi-tier applications and distributed ... Certifications in performance testing or related fields is a plus * Any experience with Chaos ...

Conscientia Corp

QA CoE Lead Performance Engineer

Plano, TX · On-site

$123K/yr

This role provides hands-on leadership and governance oversight for outsourced performance testing ... Must possess a strong knowledge of enterprise application architecture and technologies including ...

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All JobsPerformance Testing Architect JobsPerformance Testing Architect Jobs in McKinney, TX

Performance Testing Architect information

See McKinney, TX salary details

$145.2K

$155.9K

How much do performance testing architect jobs pay per year?

As of Aug 24, 2026, the average yearly pay for performance testing architect in McKinney, TX is $155,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,000.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a performance testing architect?

Performance Testing Architects are specialized IT professionals responsible for designing, implementing, and overseeing the strategies and frameworks used to test the performance, scalability, and reliability of software applications. They analyze system requirements, identify performance bottlenecks, and recommend solutions to ensure applications meet required performance standards. Performance Testing Architects also collaborate with development and QA teams to integrate performance testing into the software development lifecycle, select appropriate tools, and establish best practices. Their role is critical in preventing performance issues in production environments and ensuring a positive user experience.

What are some common challenges performance testing architects face when designing scalable test frameworks?

Performance Testing Architects often encounter challenges such as integrating testing tools with complex application architectures, ensuring test environments accurately mirror production, and maintaining test scripts as systems evolve. Additionally, they must balance the need for comprehensive coverage with resource constraints, and address bottlenecks in both application code and infrastructure. Effective collaboration with development, operations, and business teams is essential to quickly identify root causes and drive resolution of performance issues.

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

To thrive as a Performance Testing Architect, you need expertise in performance engineering, test strategy design, and a solid understanding of software architecture, usually supported by a degree in computer science or a related field. Mastery of tools like LoadRunner, JMeter, and APM solutions, along with relevant certifications such as CPPT or ISTQB, is typically required. Strong analytical thinking, problem-solving, and communication skills help in effectively collaborating with development teams and stakeholders. These competencies are crucial for identifying bottlenecks, ensuring scalable systems, and delivering optimal application performance.

What is the difference between Performance Testing Architect vs Performance Test Engineer?

AspectPerformance Testing ArchitectPerformance Test Engineer
CredentialsTypically requires advanced certifications like ISTQB, performance testing certifications, and extensive experienceOften holds certifications like ISTQB Foundation, with less emphasis on advanced credentials
Work EnvironmentDesigns testing strategies, oversees testing processes, collaborates with architects and managementExecutes tests, analyzes results, and reports performance issues
Industry UsageUsed in organizations with complex systems requiring strategic performance planningCommon in teams performing routine performance testing tasks

The Performance Testing Architect focuses on designing and overseeing performance testing strategies, while the Performance Test Engineer executes tests and analyzes results. Both roles are essential but differ in scope and seniority within the testing process.

What are popular job titles related to Performance Testing Architect jobs in McKinney, TX?

For Performance Testing Architect jobs in McKinney, TX, the most frequently searched job titles are:

What job categories do people searching Performance Testing Architect jobs in McKinney, TX look for?

The top searched job categories for Performance Testing Architect jobs in McKinney, TX are:

Performance Testing Architect jobs near you
Infographic showing various Performance Testing Architect job openings in McKinney, TX as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $155,764 per year, or $74.9 per hour.

AI Tools & Testing Architect

Select Minds LLC

Dallas, TX • On-site

$150K/yr

Full-time

Re-posted 14 days ago

Job description

Benefits:
  • Onsite
  • Competitive salary
  • Opportunity for advancement

AI Tools & Testing Architect
Dallas, TX Onsite
Long-Term Duraiton
We are seeking a highly experienced AI Tools & Testing Architect with deep, hands-on expertise in designing, implementing, and scaling AI-driven solutions across software engineering—particularly in testing, quality engineering, and SDLC optimization.
This role combines technical architecture, strategic advisory, and hands-on enablement, helping engineering and QA teams effectively adopt AI to improve productivity, quality, and time-to-market.
You will act as a technical architect and AI evangelist, guiding organizations in selecting the right AI tools, defining adoption frameworks, and embedding AI responsibly into engineering workflows.
Key Responsibilities
AI Architecture & Implementation
• Architect, design, and implement AI-driven solutions across:
 ◦ Software testing and QA
 ◦ Quality engineering
 ◦ Broader software engineering workflows
• Design scalable, secure, and reusable AI reference architectures.
 
AI for Testing & Quality Engineering
• Define and lead AI adoption frameworks for testing use cases, including:
 ◦ Automated test case generation and optimization
 ◦ Test data generation, synthesis, and masking
 ◦ Defect prediction, anomaly detection, and root-cause analysis
 ◦ Intelligent test execution, prioritization, and coverage optimization
 
Tooling & Platform Strategy
• Evaluate, select, and recommend AI tools, platforms, and vendors, including:
 ◦ LLMs, agents, copilots
 ◦ AI-powered test automation tools
 ◦ Internal and external AI platforms
• Optimize AI tool integration for performance, cost, and reliability.
Engineering Enablement & Collaboration
• Collaborate with Engineering, QA, DevOps, Security, and Leadership teams to embed AI across the SDLC.
• Enable teams with:
 ◦ Best practices
 ◦ Design patterns
 ◦ Reference implementations
• Conduct workshops, demos, and enablement sessions.
Governance & Responsible AI
• Establish AI governance, security, and responsible AI guidelines
• Ensure compliance with enterprise security, data privacy, and ethical AI standards.
Mentorship & Technical Leadership
• Act as a technical mentor and advisor
• Guide teams and stakeholders (technical and non-technical) on AI adoption strategies.
Required Skills & Experience
• Strong hands-on experience with AI/ML and Generative AI, including:
              ◦ Large Language Models (LLMs)
                ◦ Prompt engineering
                  ◦ AI agents
                   ◦ Embeddings and vector search
                    ◦ Retrieval-Augmented Generation (RAG)
                       • Proven experience designing scalable AI architectures
• Deep understanding of:
          ◦ Software testing methodologies
           ◦ QA processes
            ◦ Test automation frameworks
• Experience integrating AI into:
           ◦ CI/CD pipelines
            ◦ DevOps and MLOps workflows
           
 • Familiarity with cloud-based AI platforms and APIs:
          ◦ AWS
           ◦ Azure
           ◦ GCP
• Strong ability to translate business problems into AI-driven technical solutions
• Excellent communication and stakeholder management skills
Nice to Have
• Experience with AI governance, security, and compliance
• Prior role as:
        ◦ AI Architect
         ◦ Solution Architect
           ◦ Principal Engineer
• Experience implementing AI in enterprise-scale environments
• Certifications in:
       ◦ Cloud platforms
        ◦ AI/ML
          ◦ Architecture frameworks
Success Criteria
• Demonstrated impact in: 
      ◦ Improving testing efficiency 
       ◦ Enhancing software quality 
       ◦ Reducing time-to-market using AI 
• Delivery of clear, reusable AI reference architectures and best practices 
• High adoption, engagement, and satisfaction across engineering and QA teams