Senior QA Engineer (Data Platform Testing)

Job Description

Role Overview

We are looking for an experienced Automated Tester to build and evolve a robust, scalable automation capability across APIs, data pipelines, and our graph‑based identity platform. This role spans CI/CD gating, automated data and contract validation, graph integrity testing, performance and regression testing, and full end‑to‑end API testing within AWS. The successful candidate will ensure that our identity platform consistently meets quality, compliance, and operational standards.

Key Responsibilities

• Design, implement, and maintain automated test suites across API, data workflow, and graph components, integrating them into CI/CD pipelines with quality gates (unit, static analysis/security, data quality, contract/compliance, and final integrity checks).
• Own CI/CD quality enforcement, including gated releases, automated evidence of test results, and publish blocks when validation fails (e.g., consent, schema, integrity, scoring).
• Develop automated contract and compliance checks, including schema validation, required fields mapping, TCF/consent validation, and PII‑risk checks aligned to governance requirements.
•   Build and execute automated end‑to‑end API tests using tools such as Bruno, Insomnia, or Postman, validating API behaviour through API Gateway, Lambda integrations, and downstream data/graph operations.
• Build data quality monitors (nulls/ranges, volume deltas, distribution checks) and statistical tests suited to identity clusters; operationalize them as part of routine runs.

Qualifications

• Drift detection and score distribution monitoring for identity resolution outcomes; alerting on behavioural/statistical shifts.
• Consent and governance checks that mirror operational policies (e.g., consent‑only processing at node/edge level, version‑controlled thresholds).
• Prior testing experience with identity resolution / data science / probabilistic systems—including calibration/threshold validation and explainability.
• Familiarity with observability (alerts, dashboards) to uphold guardrails on performance, resilience, and cost visibility.
• Python, Data testing, API Testing, Reporting, Automation
• Strong CI/CD automation with gated release controls and the ability to block publication when gates fail (e.g., consent, integrity, scoring). Experience integrating automated suites into Harness CI/CD tool.

Nice‑to‑Have Experience:

• Data‑driven SaaS platforms; regulated data processing environments
• Contract‑testing frameworks (e.g., Pact) and property‑based testing approaches
• Cloud observability stacks (e.g., CloudWatch/OpenSearch/Grafana) for pipeline and API SLOs

Additional Information

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