Senior QA Automation

005_INAR Intive SA; Argentina; Remote; ARS 136,660,000 - 197,397,000; Full time

Job summary

intive is seeking a Senior QA Engineer to design, implement, and optimize automated test frameworks for complex distributed systems and ETL pipelines. You will work on backend, API, and frontend testing using Python, Pytest, and Cypress, while leveraging AI-assisted tooling to accelerate test creation and defect analysis.

You will collaborate with cross-functional teams and contribute to AI-driven QA workflows, ensuring end-to-end coverage across data, API, and UI layers in a remote,

Qualifications

• 7+ years as a Senior QA Engineer for distributed systems or ETL/data pipelines.
• Hands-on with Python and Pytest for backend/API automation.
• Experience testing REST APIs, data validation, and error handling.
• Knowledge of QA methodologies and CI/CD integration.
• Familiar with AI-assisted development tools and modern QA practices.

Responsibilities

• Design, develop, and maintain automated test frameworks for backend, APIs, and end-to-end workflows.
• Expand automated test coverage using Python and Pytest.
• Build reusable test utilities, fixtures, and data management.
• Create end-to-end regression suites for high product quality.
• Maintain frontend tests with Cypress and contribute to AI-driven QA workflows.
• Collaborate with QA, Engineering, and Product teams to close coverage gaps.
• Identify opportunities to improve testing strategies and tooling.

Skills

Python

Pytest

REST API testing

AI-assisted tools

CI/CD testing

Analytical skills

Independent work

Tools

Cypress

Claude Code

GitHub Copilot

Cursor

Docker

AWS

Job description

Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences. At intive, agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication. Be part of a team that’s shaping the future of digital innovation.

What You Will Be Doing

• 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.

You Are a Good Match If You Have 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.

Why Join intive?

We cultivate an environment where innovative ideas and excellence have room to thrive - even with a remote workforce. Our culture of learning rewards curiosity and gives our team members opportunities to learn, grow, and own the evolution of their careers.

Career Path Planning - You can create a career path based on your goals. We provide training, mentoring, and support to help you along the way.

Training & Mentorship - Learning and Development is a big part of our company culture. You will have unlimited access to Udemy, internal courses and training, and a robust mentorship program.

Hubs - You will join the community of intivers sharing the same professional profile. There is space for knowledge sharing with people with similar capabilities to yours and to access the latest technology trends.

Culture & Connection - We cultivate connections within teams, across functions, and up and down the org chart. We make sure everyone is noticed and feels connected to our mission and each other.

intive is an AI-native software engineering company that blends technical excellence with human-centric design to build high-impact digital products. Combining 25 years of deep cross-industry expertise with agentic workflows, intive reduces complexity to deliver innovation at the speed of tomorrow. Across industries – including Automotive, Commerce, Financial Services, Healthcare, and Media – intive transforms AI from a buzzword into a core engine for growth, focusing on human-led oversight that balances automated speed with architectural reliability. With over 1700 experts operating globally from its technology hubs, intive is trusted by leading brands such as BMW, Deichmann, Grupo Supervielle, Meta, NewsCorp, Tandem, Volkswagen, Vorwerk, and Warner Bros. Discovery.