Quality assurance engineer (auto) in data pipelines

Humain Dev Systems is looking for a Senior QA Automation Engineer to build and own our automated test frameworks end-to-end, drive API and UI testing, and ensure the delivery of high-quality software across our products.

• Design and own the test automation framework across the stack: API/integration tests against the Laravel endpoints and Playwright E2E tests using Playwright’s API-request context to combine backend setup/assertions with UI flows in a single suite.
• Automate the core end-to-end user flows
• Build regression coverage for data pipeline ingestion, sync, and update jobs, including data integrity checks that catch silent drift.
• Test external integrations with contract/mock strategies: Salesforce, Stripe, DocuSign, Postmark email, and Twilio SMS.
• Integrate tests into CI/CD and gate releases; make test results fast, reliable, and actionable (no flaky suites).
• Validate background jobs and queues idempotency, retries, batch processing, and failure handling.
• Own the defect lifecycle: reproduce, isolate to layer (data vs. code vs. integration), write clear repro steps, and verify fixes.
• Partner with backend/frontend engineers on testability, and define the QA standards, coverage targets, and release checklist for the Development team.
• Report quality metrics(coverage, escaped defects, flakiness, release readiness) to Development leadership.

• 3+ years in QA automation, with senior-level ownership of a test framework end-to-end.
• Strong API test automation experience against REST backends; comfortable reading a PHP/Laravel codebase to understand what you’re testing (service-layer architecture, jobs, resources).
• Strong Playwright experience driving a React SPA end-to-end auth flows (OAuth/Passport-backed), role/permission-gated views, parallel execution, fixtures, network interception/mocking, trace/video artifacts on failure, and CI integration.
• CI/CD integration experience (GitHub Actions or similar) with parallelization and flake control.
• SQL and data validation skills to verify data correctness across large relational datasets.
• Strong debugging instinct: trace a failure through the full stack before filing it, and distinguish a data problem from a code problem.
• English proficiency at B2 level or higher

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