Job Description:

This role requires a strong background in test automation, data validation, cloud-native environments, and performance testing.

The adecuado candidate will be responsible for defining QA strategies, building scalable automation frameworks, validating end-to-end data flows, and ensuring the reliability, scalability, and quality of modern distributed applications.

Key Responsibilities

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Define and execute QA strategies for complex distributed systems and data-driven applications.

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Design, develop, and maintain automated test suites for APIs, backend services, and data pipelines.

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Validate end-to-end data flows, including data ingestion, processing, storage, and API consumption.

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Perform API testing, including REST API validation, schema validation, and contract verification.

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Validate distributed service interactions and compatibility across evolving microservice architectures.

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Test asynchronous and event-driven systems, including retries, dead-letter queues (DLQs), idempotency, ordering, and eventual consistency scenarios.

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Execute load, stress,



and performance testing to ensure system scalability and reliability.

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Integrate automated testing into CI/CD pipelines and release processes.

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Investigate and troubleshoot complex production issues in collaboration with engineering teams.

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Mentor QA engineers and promote quality best practices across the organization.

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Collaborate closely with developers, product teams, and stakeholders to ensure high-quality releases.

Required Qualifications

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7+ years of experience as a Senior QA Engineer working with complex distributed systems and/or ETL/data pipelines.

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Strong experience testing APIs, including REST APIs, JSON validation, and schema validation.

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Hands-on automation experience using JavaScript/Jest and/or Python/Pytest.

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Experience defining QA strategies and mentoring QA engineers.

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Proven experience validating end-to-end data workflows, including ingestion, processing, st

📌 Sr QA Automation Engineer (Buenos Aires)
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📍 Buenos Aires