This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Quality Assurance Engineer based in India.

This is an opportunity to shape quality engineering for a sophisticated, cloud-based decision intelligence platform.
You’ll build automation across microservices, APIs, user interfaces, graph data, AI/ML models, and agentic workflows.
The role combines hands-on test engineering with CI/CD, infrastructure automation, and quality strategy.
You’ll help define reliable validation approaches for systems that can produce probabilistic and context-dependent results.
Working closely with software engineers and data science teams, you’ll bring quality practices into development from the outset.
You’ll also contribute to testing approaches that support reliability, explainability, and regulatory expectations.
The workplace is remote-friendly, technically ambitious, and focused on continuous improvement and modern engineering practices.

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Accountabilities

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Build and maintain automated end-to-end, component, API,



and contract test suites using Python and modern browser automation frameworks, with parallel execution, trace-based debugging, and reliable test architecture.

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Establish quality gates within CI/CD pipelines, including parallelized test execution, risk-based test selection, and automated promotion criteria.

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Provision ephemeral, containerized test environments using infrastructure-as-code and support synthetic or masked test-data generation.

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Monitor test reliability, track flaky tests, improve suite stability, and maintain defined performance and runtime expectations.

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Validate graph databases and analytics, including schema integrity, relationships, queries, data ingestion, deduplication, and graph-based risk or fraud analysis.

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Develop evaluation frameworks for AI/ML systems, including accuracy thresholds, model drift, fairness, explainability, and regression testing.

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Design

📌 Quality Assurance Engineer (India)
🏢 Jobgether
📍 India