Sr Manual QA (20h/week)

We’re looking for a Senior Manual QA Engineer to join a short-term project focused on structured data processing and integrations. The product processes large volumes of documents and timesheets (CSV/Excel/PDF), applies data normalization, and uses OCR/AI handwriting recognition to extract information that is then matched and synced with Salesforce.

This role is ideal for someone strong in API/integration testing, comfortable validating data quality and matching logic, and able to support UAT and quality documentation in a fast-moving environment.

Contract Details

• Duration: 12 weeks (Feb–Apr 2026)
• Start: Early February 2026
• Workload:
  • Month 1: Part-time (20h/week)
  • Months 2–3: Full-time (40h/week)
• Time zone: CET
• English: B1–B2
• Format: White-label

Responsibilities

• Test structured data ingestion and processing (CSV, Excel, PDF) and verify data normalization rules.
• Validate OCR/AI handwriting recognition results for accuracy and edge cases.
• Test Salesforce integrations, including sync flows and matching algorithms.
• Perform load and volume testing (targeting 50,000+ timesheets/week) and report performance risks.
• Support UAT: prepare test scenarios, assist business users, and verify fixes.
• Maintain defect tracking, test evidence, and quality documentation.

Requirements

• 5+ years of QA experience (manual-focused), ideally on data-heavy or integration-heavy products.
• Strong API testing skills (Swagger/OpenAPI, JSON; ability to write and validate requests/responses).
• Experience with integration testing across systems (data mapping, validation rules, error handling).
• Familiarity with cloud environments (AWS and/or GCP) from a QA perspective.
• Ability to write basic scripts for testing/support activities (e.g., data checks, payload generation).

Nice to Have

• Hands-on Salesforce testing experience (flows, objects, integrations, data validation).
• Prior exposure to OCR / AI-assisted extraction validation.