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Manager Software Quality Engineering Jobs in Virginia

Software QA Lead

Tysons, VA · On-site

$150K/yr

Software QA Lead WORKSITE LOCATION: Tysons, VA Responsibilities JOB DUTIES: Coordinate automated ... Engineering, Industrial Engineering, Operations Management, Business Economics, or a closely ...

Quality Assurance (QA) Engineer/Tester

Mclean, VA · On-site

$41.75 - $56.75/hr

Software Engineering (SWT) Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Defect Management and Analysis • Identify, document, prioritize, and track software defects ...

Lead, coach, and inspire a team of quality engineers to deliver high-quality software products ... Risk Management * Proactively identify potential quality risks early in the software development ...

Showing results 41-60

Manager Software Quality Engineering information

What does a manager software quality engineering do?

A Manager of Software Quality Engineering leads teams responsible for ensuring the quality and reliability of software products. They develop testing strategies, oversee quality assurance (QA) processes, and collaborate with other departments to deliver high-quality software on schedule. This role also involves mentoring QA engineers, managing resources, and implementing best practices and automation tools to improve testing efficiency. The manager is ultimately accountable for the overall quality of software releases and for maintaining high standards throughout the development lifecycle.

What are the key skills and qualifications needed to thrive as a manager software quality engineering, and why are they important?

To thrive as a Manager Software Quality Engineering, you need expertise in software testing methodologies, quality assurance processes, and a strong background in computer science or a related field. Familiarity with automation tools (like Selenium or Jenkins), test management systems, and relevant certifications such as ISTQB are typically expected. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills for guiding teams and collaborating across departments. These skills ensure the delivery of high-quality software products, efficient project execution, and alignment with organizational goals.

What are some common challenges faced by a manager software quality engineering, and how can they be addressed?

A Manager of Software Quality Engineering often faces challenges such as balancing tight project deadlines with the need for thorough testing, coordinating across multiple development teams, and ensuring consistent quality standards are upheld. Addressing these challenges typically involves implementing robust testing processes, fostering clear communication between QA and development teams, and advocating for a culture of quality throughout the organization. Proactively identifying potential issues early in the development cycle and leveraging automation tools can also help maintain high-quality standards while meeting project timelines.

What is the difference between Manager Software Quality Engineering vs Software Quality Engineer?

AspectManager Software Quality EngineeringSoftware Quality Engineer
ResponsibilitiesOversees quality teams, develops testing strategies, manages quality processesExecutes testing, identifies bugs, documents test results
Required SkillsLeadership, project management, testing methodologiesTesting techniques, scripting, defect tracking
CertificationsISTQB, CSTE, PMP often preferredISTQB, CSTE common
Work EnvironmentTeam management, strategic planningHands-on testing, technical execution

The main difference is that the Manager Software Quality Engineering leads and manages quality teams and strategies, while the Software Quality Engineer focuses on executing tests and identifying defects. Managers handle planning and oversight, whereas engineers perform the technical testing tasks.

What cities in Virginia are hiring for Manager Software Quality Engineering jobs?

Cities in Virginia with the most Manager Software Quality Engineering job openings:

Principal Engineer & AI Lead, Quality Engineering\"

Richmond, VA • On-site

Other

PTO

Posted 5 days ago


Job description

Principal Engineer & AI Lead, Quality Engineering\"

9,425 – 14,141 $

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

As a Principal Engineer, Quality, you will serve as a Quality Engineering lead within 's Product and Technology organization, driving 's quality engineering strategy to ensure only thoroughly tested, high-performing software reaches production. This role is critical to delivering a flawless customer experience and driving innovation across 's in-store applications. You will design robust automation frameworks, mentor teams, and influence quality practices across multiple Agile development streams, while also serving as a key contributor driving AI-powered testing and automation innovation across the organization. This position ensures scalable and efficient testing solutions that align with 's commitment to excellence.

At , we are the nation's largest retailer of used cars with stores from coast to coast, and we are still growing. We're rethinking the way people buy cars – and it's our associates that help us do just that. We believe work should feel meaningful and rewarding, with opportunities to make an impact every day. This is where innovation meets passion – be inspired and supported to take us to the future.

Team Overview

You'll join the Quality Engineering organization, serving as a lead contributor and trusted advisor for automation and testing best practices. This role requires collaboration across multiple teams to establish quality standards, implement advanced testing strategies, and drive continuous improvement in software delivery.

Role Responsibilities
  • Lead and mentor organization-wide test automation efforts, ensuring best practices and scalability.
  • Create and implement test strategies for multiple teams, focusing on automation and efficiency.
  • Drive modern testing methodologies to shift testing left and improve development workflows.
  • Develop and report key quality metrics to stakeholders for transparency and accountability.
  • Design and build testing infrastructure and integrations for regression and integration testing.
  • Manage bug triage processes, prioritize issues, and oversee resolution of critical defects.
  • Evaluate and introduce new tools and methods to enhance automation productivity across the enterprise.
  • Serve as a key contributor to the AI engineering vision and roadmap for Quality Engineering, helping architect how agentic and generative AI capabilities are embedded across the test automation ecosystem enterprise-wide.
  • Architect and productionize AI-driven testing systems—including autonomous test generation, self-healing automation frameworks, intelligent defect triage, and predictive quality/risk analytics that materially reduce manual test maintenance and accelerate release velocity.
  • Direct cross-functional integration of LLM- and agent-based systems (e.g., MCP-based agents, RAG pipelines, autonomous test agents) into CI/CD and QE workflows, setting technical direction for engineering and data partners.
  • Define enterprise governance, evaluation, and risk frameworks for AI adoption in testing—covering model reliability, data privacy, hallucination mitigation, and human-in-the-loop validation—and represent Quality Engineering in enterprise AI governance forums.
  • Evangelize and upskill the broader engineering organization on AI-augmented quality practices, positioning QE function as an internal center of excellence for applied AI in software delivery.
Required Qualifications
  • Bachelor's degree in Computer Science or related field with 7+ years of experience, or Master's degree with 5+ years of experience.
  • 8+ years of experience in Quality Engineering with expertise in automation frameworks.
  • Proficiency in modern test automation tools.
  • Strong communication and organizational skills to influence strategic initiatives across diverse teams.
  • Ability to manage multiple work streams and deliver results in a fast-paced environment.
  • Demonstrated track record architecting and deploying AI/ML or generative AI systems in a production software quality or testing environment (e.g., autonomous test generation, self-healing frameworks, anomaly/risk detection at scale).
  • Deep fluency with LLM architectures, agentic frameworks, and APIs (e.g., Anthropic Claude, OpenAI, GitHub Copilot), including advanced prompt engineering and evaluation methodology.
Preferred Qualifications
  • Experience with NodeJS and WebDriverIO/Playwright.
  • NodeJS / C# / TypeScript.
  • API/Integration test automation.
  • Proficiency in API and integration test automation frameworks.
  • C# .NET Core, and Azure or similar cloud technologies.
  • REST API testing experience.
  • Experience with API design and development.
  • Knowledge and passion toward the App tier/Service layer methodologies.
  • Experience designing and scaling AI agents/copilots (e.g., MCP-based or similar agentic architectures) embedded directly into CI/CD and enterprise QE pipelines.
  • Applied experience with RAG pipelines, vector databases, and Python-based ML tooling in a testing or quality-analytics context.
  • Track record using AI/ML to drive measurable outcomes in defect prediction, test prioritization, or coverage optimization at an organizational scale.

Work Location and Arrangement: Work location is flexible if approved by the Company

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis.Sponsorship will not be considered for this specific role.

disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinkingaround the way cars are bought and soldhas helped us become the nation’s largest retailer of used cars, with over 250 locations nationwide.

Ouramazing team of more than 25,000 associates work together to deliver iconic customer experiences.Along the way,we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and areone of the FORTUNE 100 Best Companies to Work For®.

Our Commitment to Diversity and Inclusion:

is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

The annual salary for this position is:

$113,100.00 - $169,700.00

the way your career should be! Position Overview

As a Principal Engineer, Quality, you will serve as a Quality Engineering lead within 's Product and Technology organization, driving 's quality engineering strategy to ensure only thoroughly tested, high-performing software reaches production. This role is critical to delivering a flawless customer experience and driving innovation across 's in-store applications. You will design robust automation frameworks, mentor teams, and influence quality practices across multiple Agile development streams, while also serving as a key contributor driving AI-powered testing and automation innovation across the organization. This position ensures scalable and efficient testing solutions that align with 's commitment to excellence.

Why ?

At , we are the nation's largest retailer of used cars with stores from coast to coast, and we are still growing. We're rethinking the way people buy cars – and it's our associates that help us do just that. We believe work should feel meaningful and rewarding, with opportunities to make an impact every day. This is where innovation meets passion – be inspired and supported to take us to the future.

Team Overview

You'll join the Quality Engineering organization, serving as a lead contributor and trusted advisor for automation and testing best practices. This role requires collaboration across multiple teams to establish quality standards, implement advanced testing strategies, and drive continuous improvement in software delivery.

Role Responsibilities
  • Lead and mentor organization-wide test automation efforts, ensuring best practices and scalability.
  • Create and implement test strategies for multiple teams, focusing on automation and efficiency.
  • Drive modern testing methodologies to shift testing left and improve development workflows.
  • Develop and report key quality metrics to stakeholders for transparency and accountability.
  • Design and build testing infrastructure and integrations for regression and integration testing.
  • Manage bug triage processes, prioritize issues, and oversee resolution of critical defects.
  • Evaluate and introduce new tools and methods to enhance automation productivity across the enterprise.
  • Serve as a key contributor to the AI engineering vision and roadmap for Quality Engineering, helping architect how agentic and generative AI capabilities are embedded across the test automation ecosystem enterprise-wide.
  • Architect and productionize AI-driven testing systems—including autonomous test generation, self-healing automation frameworks, intelligent defect triage, and predictive quality/risk analytics that materially reduce manual test maintenance and accelerate release velocity.
  • Direct cross-functional integration of LLM- and agent-based systems (e.g., MCP-based agents, RAG pipelines, autonomous test agents) into CI/CD and QE workflows, setting technical direction for engineering and data partners.
  • Define enterprise governance, evaluation, and risk frameworks for AI adoption in testing—covering model reliability, data privacy, hallucination mitigation, and human-in-the-loop validation—and represent Quality Engineering in enterprise AI governance forums.
  • Evangelize and upskill the broader engineering organization on AI-augmented quality practices, positioning QE function as an internal center of excellence for applied AI in software delivery.
Required Qualifications
  • Bachelor's degree in Computer Science or related field with 7+ years of experience, or Master's degree with 5+ years of experience.
  • 8+ years of experience in Quality Engineering with expertise in automation frameworks.
  • Proficiency in modern test automation tools.
  • Strong communication and organizational skills to influence strategic initiatives across diverse teams.
  • Ability to manage multiple work streams and deliver results in a fast-paced environment.
  • Demonstrated track record architecting and deploying AI/ML or generative AI systems in a production software quality or testing environment (e.g., autonomous test generation, self-healing frameworks, anomaly/risk detection at scale).
  • Deep fluency with LLM architectures, agentic frameworks, and APIs (e.g., Anthropic Claude, OpenAI, GitHub Copilot), including advanced prompt engineering and evaluation methodology.
Preferred Qualifications
  • Experience with NodeJS and WebDriverIO/Playwright.
  • NodeJS / C# / TypeScript.
  • API/Integration test automation.
  • Proficiency in API and integration test automation frameworks.
  • C# .NET Core, and Azure or similar cloud technologies.
  • REST API testing experience.
  • Experience with API design and development.
  • Knowledge and passion toward the App tier/Service layer methodologies.
  • Experience designing and scaling AI agents/copilots (e.g., MCP-based or similar agentic architectures) embedded directly into CI/CD and enterprise QE pipelines.
  • Applied experience with RAG pipelines, vector databases, and Python-based ML tooling in a testing or quality-analytics context.
  • Track record using AI/ML to drive measurable outcomes in defect prediction, test prioritization, or coverage optimization at an organizational scale.

Work Location and Arrangement: Work location is flexible if approved by the Company

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis.Sponsorship will not be considered for this specific role.

disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinkingaround the way cars are bought and soldhas helped us become the nation’s largest retailer of used cars, with over 250 locations nationwide.

Ouramazing team of more than 25,000 associates work together to deliver iconic customer experiences.Along the way,we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and areone of the FORTUNE 100 Best Companies to Work For®.

Our Commitment to Diversity and Inclusion:

is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

The annual salary for this position is:

$113,100.00 - $169,700.00

May be eligible for bonus and equity. Benefits:

Except as otherwise required by state law, Associates are entitled to the following paid sick, vacation, and holiday time.

Associates that are considered full-time hourly or commission/incentive eligible:

  • To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours per year of vacation time after a 90 day waiting period depending on years of continuous service with the Company.
  • For 8 hours of pay for each of a total of 6 paid scheduled holidays per year plus 1 floating