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Performance Testing Architect Jobs in Virginia (NOW HIRING)

Zortech Solutions

PeopleSoft Test Engineer

Mclean, VA · On-site

Deep understanding of PeopleSoft architecture, integration points, and module-specific functionalities. * Proficient in SQL queries for test data validation. * Experience with performance testing ...

Intertek

Building Enclosure Project Manager

Fairfax, VA · On-site

$89K - $121K/yr

Perform initial review of architectural drawings, shop drawings and submittals pertaining to the building enclosure * Assist with/perform field performance testing and water leakage testing of ...

Intertek

Building Enclosure Project Manager

Fairfax, VA

$92K - $125K/yr

Perform initial review of architectural drawings, shop drawings and submittals pertaining to the building enclosure * Assist with/perform field performance testing and water leakage testing of ...

Intertek

Building Enclosure Project Manager

Fairfax, VA

$89K - $121K/yr

Perform initial review of architectural drawings, shop drawings and submittals pertaining to the building enclosure * Assist with/perform field performance testing and water leakage testing of ...

Zodiac Solutions, Inc

Tibco BE Developer

Reston, VA

... architecture and solution designing. Minimum of 5-7 years of hands on experience developing in ... and performance testing Strong understanding & experience of using Java, J2EE technologies ...

Zodiac Solutions, Inc

Tibco BE Developer

Reston, VA · On-site

... architecture and solution designing. • Minimum of 5-7 years of hands on experience developing in ... testing and performance testing • Strong understanding & experience of using Java, J2EE ...

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Performance Testing Architect information

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 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 Performance Testing Architects?

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 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 are popular job titles related to Performance Testing Architect jobs in Virginia? For Performance Testing Architect jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Performance Testing Architect jobs in Virginia look for? The top searched job categories for Performance Testing Architect jobs in Virginia are:
What cities in Virginia are hiring for Performance Testing Architect jobs? Cities in Virginia with the most Performance Testing Architect job openings:
Performance Testing Architect jobs near you
Infographic showing various Performance Testing Architect job openings in Virginia as of May 2026, with employment types broken down into 4% As Needed, and 96% Full Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
AI/RPA Solutions Architect 102180 with Security Clearance

AI/RPA Solutions Architect 102180 with Security Clearance

Information Technology Engineering Corporation

Hampton, VA

$60.75 - $80/hr

Other

Posted 6 days ago

Job description


AI/RPA Solutions Architect 
Location: Hampton, VA 
Required Clearance: Top Secret/SCI  Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay.   U.S. Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.  Job Description: * Lead architecture, development, and deployment of AI/ML and RPA solutions supporting Air Combat Command (ACC) missions.
  • Design secure solutions across NIPRNet, SIPRNet, and AFSCI environments.
  • Provide technical leadership, stakeholder engagement, and innovation support.
  • Translate mission requirements into scalable AI, automation, analytics, and decision-support capabilities.
  • Ensure compliance with DoD security, governance, and DevSecOps standards.
  • Drive measurable mission impact through rapid prototyping and operational transition. 
Job Responsibilities: Solution Architecture & Development * Design and prototype AI/ML and RPA solutions addressing operational challenges.
  • Develop automation, decision-support, analytics, and knowledge-management capabilities.
  • Architect integrations, APIs, data pipelines, and cloud-based solutions.
  • Maintain multiple concurrent prototypes and rapid development cycles.
  • Evaluate emerging technologies and recommend mission-aligned solutions.
  • Ensure scalability, maintainability, and security compliance. 
Deployment & Transition * Conduct user acceptance testing and solution validation.
  • Transition prototypes into operational use with training and documentation.
  • Measure and report ROI, mission value, and user adoption.
  • Provide post-deployment support and sustainment planning.
  • Perform quality assurance, security reviews, and performance testing.
  • Ensure compliance with classification and data-handling requirements. 
Technical Advisory * Advise leadership on AI/RPA opportunities and adoption strategies.
  • Identify and prioritize high-value automation and AI use cases.
  • Support governance boards, working groups, and innovation initiatives.
  • Collaborate with government, industry, and platform vendors.
  • Conduct demonstrations, workshops, and stakeholder briefings.
  • Support classified operations and secure-environment development. 
Required Skills: * 5+ years of AI/ML solution design and development experience.
  • 3+ years supporting DoD, federal, or defense-contractor programs.
  • Experience deploying AI/ML and RPA solutions with measurable outcomes.
  • Strong communication and stakeholder engagement skills.
  • LLMs and Generative AI (GPT, Claude, Llama, etc.).
  • TensorFlow, PyTorch, scikit-learn, Keras.
  • NLP, predictive analytics, deep learning, and prompt engineering.
  • Responsible AI and model governance principles.
  • UiPath and/or Microsoft Power Automate.
  • Workflow automation, process mining, and orchestration.
  • Attended and unattended automation solutions.
  • Python, SQL, REST APIs, Git.
  • Azure (preferred), AWS, or GCP.
  • Docker, Kubernetes, CI/CD, DevSecOps.
  • Data engineering, ETL/ELT, and visualization tools.
  • RMF, NIST 800-53, DISA STIGs.
  • CUI, Secret, and Top Secret data handling.
  • IL5/IL6 cloud security requirements. 
Desired Skills: * 7+ years AI/ML or RPA experience.
  • Prior Air Force, Intelligence Community, or ACC mission support.
  • Experience with AskSage, Palantir, Databricks, or Snowflake.
  • Cloud architecture, AI/ML, or cybersecurity certifications.
  • Experience mentoring teams and leading technical initiatives.
  • Performance Expectations
  • Develop 3+ prototypes and transition 2+ operational solutions per quarter.
  • Identify 10+ new use cases quarterly.
  • Deliver measurable ROI and mission impact.
  • Maintain high stakeholder satisfaction and security compliance.
  • Contribute to innovation, knowledge sharing, and continuous improvement. 
Education: Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, or related field. Master's degree preferred in AI/ML, Computer Science, or related discipline.

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