Senior QA Automation Engineer
Crystal Intelligence provides blockchain analytics and decision-intelligence software for crypto compliance, transaction monitoring, investigations, and risk management. Its clients include banks, payment providers, crypto exchanges, VASPs, regulators, law-enforcement agencies, and digital-asset businesses.
About Crystal Intelligence
Crystal Intelligence operates a blockchain intelligence platform combining cross-chain analytics, AI, and verified entity attribution. Its products support transaction monitoring, sanctions and wallet screening, AML compliance, blockchain investigations, case management, risk analysis, stablecoin market intelligence, and audit-ready reporting across more than 330 blockchains. The company also provides investigative services, advisory support, and crypto compliance and investigation training for financial institutions, crypto-native companies, VASPs, regulators, law-enforcement bodies, legal teams, and other organizations managing digital-asset risk.
Skills
About the Role
You will design, develop, and maintain automated tests for backend, API, frontend, and data-processing systems. You will investigate failures, review code, prioritize testing, improve QA practices, evaluate AI tools, collaborate on service reliability, and maintain test documentation and defect reports.
Requirements
- 5+ years of AQA/SDET experience testing complex backend, API, data-heavy, or distributed systems
- Understanding of SOLID principles and design patterns applied to test frameworks
- SQL and PostgreSQL experience, including advanced queries and data validation
- Test design skills
- Understanding of backend architecture, environment configuration, service health checks, and deployment validation
- Java skills for test automation
- Experience with test automation tools and frameworks such as Playwright, Postman, REST-assured, and Allure
- Experience with Git
- Experience working in Scrum or another Agile delivery process
- Experience with Cursor and Claude, including custom skills, agents, and rules
- Experience with AI no-code tools and business process automation such as n8n
- English proficiency
Responsibilities
- Design, develop, and maintain automated tests for backend, API, frontend, and data-processing systems
- Create test coverage for edge cases
- Analyze failed tests and production-like issues using logs, metrics, dashboards, and API responses
- Conduct code reviews
- Pioneer testing approaches, architectures, or frameworks
- Establish technical vision and make cross-project trade-offs
- Prioritize testing efforts based on business needs, risks, and timelines
- Identify and implement QA process improvements and best practices
- Evaluate and drive adoption of AI tools for QA and development workflows
- Define guidelines for AI tool use in QA
- Collaborate to improve service testability, observability, and reliability
- Maintain test documentation, automation coverage notes, and defect reports
Benefits
- Fully remote work