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Quality Engineer Jobs in Springfield, VA (NOW HIRING)

Amazon

Quality Engineer- Construction

Herndon, VA

$74K - $95K/yr

The Quality Assurance Engineer (QAE) serves as a key operational and technical partner within AWS Data Center Engineering (DCE), d supporting the delivery of large-scale hyperscale data center design ...

Amazon

Quality Engineer- Construction

Herndon, VA · On-site

$74K - $95K/yr

The Quality Assurance Engineer (QAE) serves as a key operational and technical partner within AWS Data Center Engineering (DCE), d supporting the delivery of large-scale hyperscale data center design ...

Quantum Space

Quality Engineer II

Rockville, MD · On-site

$100K - $150K/yr

Who We're Looking For We are seeking a Quality Engineer II to support hardware build, integration, and test operations across our spacecraft programs. This role is critical to ensuring mission ...

Holder Construction

Senior Quality Engineer

Manassas, VA · On-site

$88K - $120K/yr

Night and swing shift differential pay for select roles We are looking for a Senior Quality Engineer to join our Quality team on our project in Manassas, VA. This is a full-time, in-person position.

Holder Construction

Senior Quality Engineer

Manassas, VA · On-site

$88K - $120K/yr

We are looking for a Senior Quality Engineer to join our Quality team on our project in Manassas, VA. This is a full-time, in-person position. Key Responsibilities * Implementation and management of ...

Syndicus, Inc

Software Quality Engineer

Dulles, VA

Support generation of quality and productivity metrics. Qualifications Bachelor's degree in ... Software Engineering knowledge and/or skill sets. Excellent communication skills to educate and ...

Syndicus, Inc

Software Quality Engineer

Dulles, VA · On-site

Support generation of quality and productivity metrics. Qualifications Bachelor's degree in ... Software Engineering knowledge and/or skill sets. Excellent communication skills to educate and ...

Cymertek

QA Engineer

Reston, VA · On-site

QA Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a detail-oriented and passionate QA Engineer ...

Cymertek

QA Engineer

Chantilly, VA · On-site

QA Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a detail-oriented and passionate QA ...

Cymertek

QA Engineer

Tysons, VA · On-site

QA Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a detail-oriented and passionate QA Engineer ...

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Showing results 21-40

All JobsQuality Engineer JobsQuality Engineer Jobs in Springfield, VA

Quality Engineer information

See Springfield, VA salary details

$47K

$87.8K

$124.3K

How much do quality engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for quality engineer in Springfield, VA is $87,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $97,100.00 per year, depending on experience, location, and employer.

What is a quality engineer?

A quality engineer ensures that the products manufactured by a company are meeting company and government quality control standards. As a quality engineer, your responsibilities include assessing and developing quality assurance protocols, examining products for compliance, and training teams to follow your policies. You also record data regarding production to track quality and produce the documentation need to communicate concerns throughout the company. The American Society for Quality (ASQ) regulates the profession and offers a path to become a certified quality engineer (CQE).

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

To thrive as a Quality Engineer, you need a solid grounding in engineering principles, quality assurance methodologies, and a relevant degree such as in engineering or a related field. Familiarity with tools like Six Sigma, ISO standards, statistical process control (SPC), and quality management systems (QMS) is typically required, and certifications like CQE (Certified Quality Engineer) are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help you identify issues, collaborate with teams, and drive continuous improvement. These skills ensure that products and processes consistently meet standards, minimize defects, and enhance overall operational efficiency.

How does a quality engineer typically collaborate with other departments to ensure product quality?

Quality Engineers work closely with cross-functional teams such as manufacturing, design, and supply chain to uphold product standards. They often participate in team meetings, review process documentation, and coordinate root cause analyses with engineers and operators. Effective communication and proactive problem-solving are key, as they must ensure that quality requirements are clearly understood and implemented throughout each stage of production. This collaborative approach not only helps resolve issues quickly but also fosters a culture of continuous improvement across the organization.

What is the difference between Quality Engineer vs Quality Technician?

AspectQuality EngineerQuality Technician
ResponsibilitiesDesigning quality systems, process improvements, root cause analysisInspecting products, conducting tests, recording quality data
Required SkillsAnalytical skills, problem-solving, knowledge of quality standardsAttention to detail, testing procedures, data collection
CertificationsASQ CQE, Six SigmaASQ CQPA, basic quality certifications
Work EnvironmentOffice, manufacturing plants, cross-functional teamsManufacturing floors, labs, inspection stations

Quality Engineers focus on developing and improving quality systems and processes, while Quality Technicians primarily perform inspections and tests to ensure product quality. Both roles are essential in maintaining standards, but they differ in scope and responsibilities.

How much does a quality engineer earn?

The average salary for a quality engineer varies by location and experience but typically ranges from $60,000 to $90,000 annually. Entry-level positions may start lower, while experienced engineers with certifications like Six Sigma or ISO may earn higher salaries. Salaries can also be influenced by industry, company size, and specific skills such as proficiency with quality management tools.

What degree do you need for a quality engineer?

A quality engineer typically needs at least a bachelor's degree in engineering, manufacturing, or a related field. Relevant skills include knowledge of quality management systems and tools like Six Sigma or ISO standards, and some roles may prefer or require professional certifications such as ASQ Certified Quality Engineer (CQE).
More about Quality Engineer jobs

What job categories do people searching Quality Engineer jobs in Springfield, VA look for?

The top searched job categories for Quality Engineer jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Quality Engineer jobs?

Cities near Springfield, VA with the most Quality Engineer job openings:

Quality Engineer jobs near you
Infographic showing various Quality Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $87,781 per year, or $42.2 per hour.

AI Quality Engineer - 17397

Seneca Resources Company, LLC

Vienna, VA • On-site

$53 - $60/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 3 days ago

Job description

Position Title: AI Quality Engineer
Location: Vienna, VA / Remote
Clearance Requirements: None
Position Status: Contract
Pay Rate: $53 - $60 per hour
Position Description:
We are seeking an experienced AI Quality Engineer to lead the validation, certification, and production readiness of enterprise Generative AI and AI-powered automation solutions. This is a highly technical engineering role focused on ensuring AI systems are accurate, reliable, secure, explainable, compliant, and ready for enterprise production deployment.
This is not a traditional QA or manual testing position. The ideal candidate will serve as an independent quality authority responsible for evaluating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) applications, AI agents, orchestration frameworks, developer platforms, and AI-enabled SDLC solutions.
Working alongside AI Engineers, Platform Engineers, Architects, Security, Risk, DevOps, and Product teams, you will develop repeatable validation frameworks, AI evaluation methodologies, production readiness standards, and governance processes that enable the successful deployment of enterprise AI solutions.
This position is ideal for engineers passionate about AI Quality Engineering, Responsible AI, AI Governance, Platform Engineering, DevEx, Azure AI, and enterprise-scale automation.
Key Responsibilities:
  • Key Responsibilities:
  • Develop and implement AI validation, certification, and production readiness standards for enterprise AI solutions.
  • Design evaluation frameworks to measure:
    • AI accuracy
    • Response relevance
    • Groundedness
    • Completeness
    • Hallucination detection
    • Retrieval effectiveness
    • Recommendation quality
    • User satisfaction
  • Build and maintain AI validation datasets, benchmark scenarios, regression suites, and golden datasets using tools such as LangSmith and Azure AI Foundry.
  • Validate RAG (Retrieval-Augmented Generation) solutions utilizing Azure AI Search, LangChain, LangGraph, Azure AI Foundry, and enterprise knowledge repositories.
  • Review AI solution architectures deployed across Azure cloud services including:
    • Azure Container Apps
    • Azure Functions
    • Azure Databricks
    • Azure SQL
    • Cosmos DB
  • Evaluate AI agent workflows, orchestration pipelines, prompt execution, tool integrations, guardrails, human-in-the-loop processes, and MCP integrations.
  • Assess AI security, governance, auditability, identity management, and compliance controls including Entra ID, RBAC, Managed Identities, Key Vault, and data protection requirements.
  • Develop production readiness checklists covering observability, monitoring, resiliency, logging, supportability, recoverability, and operational excellence.
  • Analyze AI telemetry, LangSmith traces, execution logs, and evaluation metrics to identify quality issues and optimization opportunities.
  • Partner with engineering teams to resolve AI quality, security, and performance concerns before production deployment.
  • Produce AI certification reports, quality scorecards, dashboards, and executive summaries for governance reviews.
  • Establish independent quality gates and certification criteria for enterprise AI deployments.
  • Lead validation and production readiness reviews for Internal Developer Portal (IDP), Developer Experience (DevEx), self-service engineering workflows, and platform automation initiatives.
  • Drive continuous improvement of AI testing strategies, evaluation methodologies, and quality engineering practices.

Required Skills/Education
  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Systems, or a related technical discipline.
  • 5+ years of experience in Software Quality Engineering, Test Architecture, Software Development, Platform Engineering, AI Engineering, Machine Learning Engineering, or related technical roles.
  • 2+ years of hands-on experience with Generative AI, Large Language Models (LLMs), AI Agents, or Retrieval-Augmented Generation (RAG) solutions.
  • Strong understanding of AI evaluation techniques including:
    • Hallucination detection
    • Groundedness validation
    • Accuracy testing
    • AI quality metrics
    • Model evaluation
  • Experience with one or more of the following technologies:
    • Azure AI Foundry
    • Azure OpenAI
    • LangChain
    • LangGraph
    • LangSmith
    • AI Agent frameworks
    • RAG architectures
  • Experience with Azure cloud technologies including:
    • Azure AI Search
    • Azure Container Apps
    • Azure Functions
    • Cosmos DB
    • Azure SQL
    • Azure Databricks
    • Azure Key Vault
  • Experience supporting Platform Engineering, Internal Developer Portals (IDP), DevEx platforms, DevOps, or CI/CD environments.
  • Strong knowledge of automated testing frameworks, regression testing, AI validation methodologies, and quality certification processes.
  • Experience with APIs, microservices, distributed systems, and cloud-native architectures.
  • Familiarity with DevSecOps, CI/CD pipelines, observability, monitoring, and enterprise SDLC practices.
  • Excellent analytical, troubleshooting, documentation, and stakeholder communication skills.
  • Ability to work independently while providing objective, data-driven quality assessments.

Preferred Qualifications
  • Experience validating enterprise AI agents or multi-agent systems.
  • Background in Platform Engineering, Developer Experience (DevEx), Site Reliability Engineering (SRE), or DevOps.
  • Experience with AI observability and evaluation platforms such as LangSmith.
  • Knowledge of Azure AI Search, vector databases, semantic search, embeddings, and enterprise knowledge retrieval.
  • Experience implementing Responsible AI, AI Governance, AI Risk Management, or AI Compliance frameworks.
  • Experience in highly regulated industries such as financial services, banking, healthcare, or insurance.
  • Familiarity with Azure DevOps, GitHub, GitHub MCP, Azure DevOps MCP, and enterprise SDLC tooling.
  • Experience with performance engineering, resiliency testing, chaos engineering, and production readiness reviews.
  • Knowledge of Entra ID, RBAC, Managed Identities, Azure Key Vault, and identity governance.
  • Experience creating executive dashboards, KPIs, quality scorecards, and AI performance reporting..

About Seneca Resources
At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.
When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way.
Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.

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