Sr QA Automation Engineer - AI First in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr QA Automation Engineer - AI First based in Brazil.

This role offers the opportunity to shape the quality strategy for an innovative technology platform focused on intelligent infrastructure and AI-driven solutions.
You will design and implement advanced automation frameworks across distributed systems, microservices, event-driven architectures, and AI workflows.
The position combines software quality engineering, automation expertise, and emerging AI testing practices in a highly technical environment.
You will work closely with engineering teams to build reliable, scalable, and secure products used in complex operational scenarios.
The role requires strong ownership, technical leadership, and the ability to transform quality challenges into efficient engineering solutions.
You will contribute to modern testing approaches for non-deterministic AI systems while helping teams continuously improve delivery standards.

The Senior QA Automation Engineer will own the automation strategy and quality framework for complex software systems, ensuring reliability, scalability, and continuous improvement across development processes.

• Design, implement, and maintain comprehensive automated testing strategies covering unit, integration, contract, end-to-end, and edge deployment validation.
• Build and maintain UI automation suites using Playwright for operational interfaces and human-in-the-loop workflows.
• Develop API, integration, and contract testing solutions for Python microservices and event-driven systems, including Kafka-based pipelines.
• Integrate automated testing into CI/CD pipelines as mandatory quality gates with measurable standards.
• Monitor test performance, identify root causes of failures, reduce test instability, and improve automation reliability.
• Create evaluation frameworks for AI-driven workflows, including validation of tool selection, execution logic, escalation behavior, and system limitations.
• Establish regression testing strategies for non-deterministic AI components using evaluation datasets, tolerance criteria, and drift monitoring.
• Automate validation for edge environments, including offline scenarios, reconnection flows, and security boundaries.
• Collaborate with technical teams to transform requirements and operational processes into clear acceptance criteria.
• Mentor engineers on quality ownership, automation practices, and effective testing methodologies.

The ideal candidate is a highly experienced QA automation professional with strong technical depth in distributed systems, modern automation frameworks, and AI-enabled software testing.

• 5+ years of hands-on experience leading test automation initiatives for distributed systems and complex software platforms.
• Strong production experience with Playwright, including fixtures, parallel execution, trace analysis, and CI integration.
• Advanced proficiency in Python and TypeScript for automation development.
• Experience with API, contract, and integration testing, including mocking and service virtualization.
• Knowledge of event-driven architectures and messaging systems such as Kafka.
• Experience implementing CI/CD quality gates using platforms such as GitHub Actions or Azure DevOps.
• Familiarity with containerized environments and basic Kubernetes concepts.
• Experience applying AI-assisted testing approaches and evaluating AI-generated code or test scenarios critically.
• Strong debugging skills with a focus on root-cause analysis and long-term solutions.
• Fluent English communication skills for daily collaboration, documentation, and technical discussions.
• Ability to work independently while collaborating effectively with distributed teams across time zones.

• Fully remote work model.
• Full-time contract opportunity with an international technology environment.
• Collaboration with global engineering teams working on innovative AI and infrastructure solutions.
• Opportunity to work with modern technologies including AI agents, automation frameworks, distributed systems, and cloud-native tools.
• Professional growth through exposure to complex technical challenges and advanced engineering practices.
• Flexible collaboration aligned with North American Central Time working hours.
• Opportunity to contribute to products addressing real-world operational and sustainability challenges.