QA Engineer – CTRM Platform

This is a fully remote position, open to applicants in United Arab Emirates (UAE).

📋 Description

• Take full responsibility for the quality assurance of the CTRM platform from start to finish.

• Determine the necessary testing requirements and develop the automation processes.

• Create test strategies and plans covering deal capture, pricing, invoicing, costs, demurrage, claims, P&L, margin, and reporting.

• Design automated API, data, and UI tests that are integrated into the continuous integration process.

• Generate realistic test data alongside business-approved expected outcomes.

• Conduct regression testing to verify calculations and the reproducibility of historical P&L.

• Test market data feeds and their integrations with accounting and operational systems.

• Reconcile the platform's data with that from source systems.

• Perform critical reviews of code and tests written by agents.

• Collaborate with users during acceptance testing and replicate defects as needed.

• Evaluate release quality and assess what is safe for deployment.

⛳️ Requirements

• A minimum of 4 years in QA or software testing, with a focus on test strategy and automation for a business-critical product.

• Proficient in test automation using Python (pytest or similar) or another widely-used programming language.

• Experience in API testing.

• Familiarity with UI automation tools such as Playwright, Cypress, or comparable technologies.

• Strong SQL skills and the capability to perform direct data testing.

• Background in testing calculation-intensive or financial systems, including trading, banking, payments, billing, ERP, or accounting.

• Knowledge of CI/CD processes and the appropriate placement of tests within them.

• Experience working with coding agents and critically assessing their tests.

• Excellent written communication skills.

• Proficient in English to present findings and justify release decisions.

• Professional proficiency in Russian.

🏝️ Benefits

• Full ownership of quality on the platform, with the opportunity to influence the testing approach.

• Direct communication with founders, engineers, and business users, ensuring short feedback loops.

• A generous budget for AI tools, where cutting-edge models are considered a business expense rather than a perk.

• Competitive compensation, tailored to individual discussions.