Location: Remote - within LATAM time zones (GMT-3 to GMT-5) - Remote with meetings across U.S. time zones
Availability: Contractor (40 hours per week)
Your Day-to-Day
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Collaborate with QA Engineers to prioritize and automate testing for tracking libraries and SDKs across Mobile Applications and Connected TV (CTV) platforms.
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Support the team in achieving established OKRs related to data quality through automation initiatives.
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Convert manual test cases into automated test scripts and enable self-service execution for the broader QA team.
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Partner with QA Engineers to design and support testing solutions that improve the efficiency and accuracy of streaming analytics validation.
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Collaborate with cross-functional teams to troubleshoot issues and resolve test failures related to analytics implementations.
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Contribute to tracking specifications and review, test, deploy, and maintain automated test suites to support high-quality analytics software delivery.
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Design and execute automated QA tests using both real and simulated devices.
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Analyze test results, document findings, and create detailed bug tickets in Jira.
Key Responsibilities
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Support automated testing efforts for analytics APIs that collect and process data across multiple platforms.
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Contribute to the continuous development and enhancement of test automation frameworks supporting data collection and validation capabilities.
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Automate test cases and conduct regular test script audits to identify tracking gaps, inconsistencies, and technical implementation issues.
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Mentor QA Engineers on adopting test automation as a primary testing approach and help them effectively use the automation framework.
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Serve as a key point of contact for test automation throughout the Software Development Life Cycle (SDLC), including peer reviews of test scripts.
GenAI Responsibilities
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Hands-on experience with Claude is mandatory, including rewriting and refactoring automation scripts to improve reliability, readability, and reduce duplication.
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Strong understanding of leveraging AI tools to enhance and optimize automation frameworks.
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Apply GenAI to improve automation frameworks through self-healing capabilities, maintenance optimization, and root cause analysis (RCA) support.
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Build and extend Agentic AI-driven automation frameworks where intelligent agents assist with test generation, execution support, and maintenance workflows.
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Implement RAG-based context grounding to ensure script generation and recommendations leverage requirements, test assets, and historical defect data.
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Hands-on experience with Docker for containerizing automation and AI utilities to ensure consistency across local and CI environments.
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Strong CI/CD mindset, ensuring automation frameworks are fully integrated into deployment pipelines and test management systems.
Qualifications
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5+ years of software development experience and a Bachelor’s degree in Computer Science or a related field.
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Strong programming experience with languages such as JavaScript, Python, or Java.
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Ability to clearly communicate technical concepts to both technical and non-technical audiences.
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Strong communication, problem-solving, and critical-thinking skills.
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Experience in test planning, test execution, test automation, and acceptance testing within Agile environments.
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Strong advocate for continuous improvement and best practices in test automation and testing tools.
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Experience using proxy and network monitoring tools such as Charles Proxy, Wireshark, Chrome DevTools, and BrowserMob Proxy.