Test & Validation Engineer

Leidos

. Lead all verification, validation, and quality engineering activities across enterprise applications, cloud platforms, AI/ML solutions, and biomedical informatics systems .

Posted 9/30/2026full-timeUnited StatesSeniorLead💰 $92,300 - $166,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading verification, validation, and quality engineering activities across enterprise applications and AI/ML solutions, ensuring compliance with federal quality standards. Proficient in developing automated testing frameworks and collaborating with cross-functional teams to enhance software quality and performance.

Highest-signal resume keywords

Automated Testing FrameworksQuality Engineering in Agile EnvironmentsValidation of AI and Machine Learning SolutionsCompliance with NIH and NIST StandardsDefect Management and Continuous Improvement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Test StrategiesValidation MethodologiesRequirements TraceabilityRisk-Based TestingDefect Lifecycle ManagementPerformance EvaluationModel VerificationAutomated TestingQuality Metrics DevelopmentContinuous Quality Improvement

Soft Skills

Excellent Communication SkillsAnalytical Problem-SolvingCustomer FocusCollaborationMentoring

Tools & Technologies

Microsoft AzureAzure DevOpsKubernetesREST APIsGitCI/CDCloud-Native Architectures

Certifications & Qualifications

PMPScrumAWS/AzureSecurity+ISTQB

Industry Keywords

NIHHHSCMSFederal IT ModernizationDevSecOpsSection 508FISMAZero Trust Principles

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityKubernetesPMP

About the role

Key responsibilities & impact

Lead all verification, validation, and quality engineering activities across enterprise applications, cloud platforms, AI/ML solutions, and biomedical informatics systems
Develop and maintain the Test and Evaluation Master Plan (TEMP), Validation Strategy, Quality Management Plan, and automated testing framework
Define test strategies, acceptance criteria, and validation methodologies for functional, integration, system, regression, performance, security, usability, interoperability, and user acceptance testing
Collaborate with Government stakeholders, business analysts, software engineers, AI/ML engineers, and SMEs to ensure requirements are testable and traceable from design through deployment
Oversee automated testing using CI/CD pipelines and DevSecOps practices
Lead validation of AI and machine learning solutions, including model verification, performance evaluation, explainability, bias assessment, reproducibility, drift monitoring, and ongoing model quality
Ensure software and AI systems comply with NIH, HHS, NIST, Section 508, privacy, cybersecurity, and applicable federal quality standards
Direct defect management, root cause analysis, corrective actions, and continuous quality improvement initiatives
Develop quality metrics, dashboards, and executive reports communicating testing progress, release readiness, and overall system quality to Government leadership
Mentor quality engineers and foster continuous improvement, automation, and engineering excellence

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
Eight (8) or more years of progressively responsible experience relevant to the position
Demonstrated experience supporting NIH, HHS, CMS, or other Federal civilian agencies
Experience supporting large Federal IT modernization or systems integration programs
Experience implementing automated testing frameworks and integrating quality engineering into Agile and DevSecOps environments
Experience working in Agile development environments and with DevSecOps practices
Strong understanding of software quality assurance methodologies, requirements traceability, risk-based testing, and defect lifecycle management
Excellent written and verbal communication skills
Ability to obtain and maintain required Federal suitability or security requirements
Ability to obtain and maintain a Public Trust / ADPII Clearance
Preferred: experience with Microsoft Azure, Azure DevOps, Kubernetes, REST APIs, Git, CI/CD, and cloud-native architectures
Preferred: knowledge of Section 508, NIST guidance, FISMA, and Zero Trust principles
Preferred: relevant professional certifications such as PMP, Scrum, AWS/Azure, Security+, or ISTQB
Strong customer focus and mission orientation
Excellent analytical and problem-solving skills
Ability to lead cross-functional teams in a collaborative environment
Commitment to quality, innovation, and continuous process improvement
Ability to communicate effectively with both technical and executive audiences