Senior QA Automation
intive
WorldwideremotePosted 14 days ago
Skill Required
QA-Automation-EngineerQA-EngineerSoftware-QA-EngineerAutomation-TestingQuality-Assurance-EngineerSenior-QA-AutomationSenior-Automation-QASenior-QA-Automation-EngineerSenior-Automation-QA-EngineerSenior-QA-Automation-TesterSenior-Quality-Assurance-Automation-SpecialistSenior-Automation-Test-EngineerQA EngineerautomationSystem DesignJMeterTest AutomationGitHub ActionstroubleshootingVMwareMicroservicesEngineeringanalyticaldesigningJenkinsCypressTestNGPythonDockerPytestdesignGitCI/CDAgileCloudDesign PatternsAPIsETLFulltime
Key highlights
- Level Required: 7+ years as a Senior QA Engineer
- Key benefit: Unlimited access to Udemy, internal courses, and a robust mentorship program
- Notable requirement: Hands-on experience with Python and Pytest for backend and API test automation
- Benefit: Remote workforce option available
- Benefit: Career path planning with training and support
- Benefit: Community of intivers for knowledge sharing
Role overview
Join a diverse team of approximately 2000 professionals across four continents at intive, driving innovation and growth within its technology hubs. The role involves working alongside industry experts trusted by leading brands such as Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences.
Responsibilities
- Design, develop, and maintain automated test frameworks for backend services, APIs, and end-to-end business workflows
- Expand and optimize automated test coverage using Python and Pytest
- Build and maintain reusable test utilities, fixtures, test data management solutions, and reporting capabilities
- Create and enhance end-to-end regression suites to ensure high product quality and system reliability
- Maintain and extend frontend automated tests using Cypress
- Leverage AI-powered development tools such as Claude Code to accelerate test creation, maintenance, and defect analysis
- Collaborate closely with QA, Engineering, and Product teams to identify coverage gaps and improve testing strategies
- Contribute to the design and evolution of AI-driven QA workflows and testing processes
Requirements
- 7+ years of experience as a Senior QA Engineer working with complex distributed systems and/or ETL/data pipelines
- Strong experience designing, implementing, and maintaining automated test suites
- Hands-on experience with Python and Pytest for backend and API test automation
- Experience testing REST APIs, including request validation, response verification, error handling, integrations, and data validation
- Solid understanding of end-to-end testing across frontend, backend, API, and data layers
- Strong knowledge of QA methodologies and test strategy design
- Understanding of automated testing practices within CI/CD environments
- Experience using AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or similar solutions
- Strong analytical, troubleshooting, and problem-solving skills
- Ability to work independently while collaborating effectively with cross-functional teams
- Familiarity with Cypress for frontend and end-to-end test automation
Nice to have
- Experience implementing QA agents or AI-driven testing workflows
- Experience with Python libraries such as Requests, HTTPX, or Pydantic
- Experience with API contract testing and schema validation
- Knowledge of SQL and database testing practices
- Experience testing microservices and distributed systems
- Familiarity with mocking frameworks and service virtualization techniques
- Experience with performance testing tools such as Locust, JMeter, or k6
- Experience with Docker, containerized testing environments, and AWS cloud services
- Experience integrating automated testing into GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar CI/CD platforms
- Experience working in Agile/Scrum environments
Benefits
- Work with a diverse team of approximately 2000 professionals across four continents
- Collaborate with industry experts trusted by leading brands including Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery
- Opportunity to shape the future of digital innovation
- Culture of learning that rewards curiosity and supports career growth
- Career path planning with training, mentoring, and support
- Unlimited access to Udemy, internal courses, and a robust mentorship program
- Remote workforce option available
- Community of intivers for knowledge sharing and connection