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DOMVS iT

Senior Artificial Intelligence Quality Engineer

DOMVS iT

. Design AI test orchestration workflows .

Posted 9/29/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing AI test orchestration workflows and automated testing across the stack, with a strong focus on quality assurance for distributed systems. Possesses deep knowledge of AI-driven testing methodologies and frameworks, along with proven leadership in quality engineering.

Highest-signal resume keywords
AI Test Orchestration WorkflowsAutomated Testing Across The StackQuality Assurance For Distributed SystemsAI Quality Governance FrameworksCI/CD Tools

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI HarnessesTest Architecture PatternsNon-Functional TestingModern Backend LanguageCloud PlatformContainerization TechnologiesTesting FrameworksQuality GatesPerformance ManagementPeople Management
Soft Skills
Technical LeadershipStrategic Influence
Tools & Technologies
AWSJenkinsBitbucket PipelinesDockerKubernetes
Certifications & Qualifications
ISTQB Advanced CertificationISTQB Expert Certification
Industry Keywords
Quality EngineeringAI-Driven TestingAgile Quality WorkflowsMulti-Agent Test System ArchitectureScientific Domain Testing

Tech Stack

Tools & technologies
AWSCloudDockerJavaJavaScriptJenkinsKubernetesNode.jsPythonTypeScript

About the role

Key responsibilities & impact
  • Design AI test orchestration workflows
  • Develop and use AI harnesses
  • Validate AI-generated quality architectures at the portfolio level
  • Design, write, and maintain automated tests across the stack
  • Design and deliver quality assurance for distributed systems or enterprise-scale applications
  • Perform non-functional testing for performance, security, accessibility, and reliability
  • Design AI-augmented Agile quality workflows
  • Create AI quality governance frameworks
  • Create testing frameworks and quality gates for AI-generated code
  • Serve as the quality engineering lead for a solutions team
  • Provide technical leadership and strategic influence in quality engineering

Requirements

What you’ll need
  • Demonstrated ability to design AI test orchestration workflows and AI harnesses, and validate AI-generated quality architectures at the portfolio level
  • Deep knowledge of AI test orchestration platforms, multi-agent test system architecture, test context engineering, AI harnesses, and the capabilities and limitations of AI-driven testing
  • Deep and extensive commercial experience in quality engineering, with a proven track record of technical leadership and strategic influence
  • Strong knowledge of test architecture patterns and a systemic view of quality at the portfolio level
  • Hands-on experience designing, writing, and maintaining automated tests across the stack
  • Experience designing and delivering quality assurance for distributed systems or enterprise-scale applications
  • Experience with enterprise-scale non-functional testing, including performance, security, accessibility, and reliability
  • Experience designing AI-augmented Agile quality workflows and AI quality governance frameworks
  • Experience with at least one modern backend language, such as Java, Python, or TypeScript/Node.js
  • Experience with a cloud platform, such as AWS
  • Experience with CI/CD tools, such as Jenkins or Bitbucket Pipelines
  • Experience with containerization technologies, such as Docker or Kubernetes
  • Broad knowledge across the stack
  • Practical knowledge of AI coding/testing assistants, AI code review tools, and multi-agent orchestration frameworks
  • Experience creating testing frameworks and quality gates for AI-generated code at the portfolio level
  • Experience serving as the quality engineering lead for a solutions team
  • Bachelor’s degree or equivalent education in Computer Science, Mathematics, Chemistry, or a related field
  • Exceptional commercial experience leading quality engineering at the system or portfolio level may substitute for the degree requirement
  • Professional software testing certification, such as ISTQB Advanced or Expert, is preferred
  • Experience testing software products in a scientific domain is preferred
  • Experience with performance management and people management in a matrixed environment is preferred

Benefits

Comp & perks
  • The support you need to achieve professional success
  • A collaborative and innovative environment