QA Engineer Automation
Spektr provides an AI-powered platform.
Funding history
Investors
About Spektr
Spektr offers a complete compliance operations platform combining AI agents and configurable processes. Its AI agents execute tasks such as KYB, document review, ownership mapping, source-of-funds analysis, website checks, and false-positive reduction, while connected workflows collect data, trigger checks, update records, and automate follow-up actions across onboarding, monitoring, risk, remediation, enrichment, questionnaires, and scoring. Spektr serves fintechs, enterprise banks, and other financial institutions, with case studies involving payments, crypto-wallet, digital banking, leasing, and EV-charging businesses.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, and maintain scalable end-to-end automated test suites using Playwright. You will validate AI-agent behaviour, test REST APIs and data flows, check database data, integrate tests into CI/CD pipelines, investigate production failures, and convert them into regression tests. You will also help define testability, acceptance criteria, QA processes, and quality standards early in development.
Requirements
- Hands-on experience with JavaScript or TypeScript and Playwright
- Experience testing RESTful APIs
- Ability to verify data integrity with SQL
- Ability to write clean, reusable test code
- Ability to communicate bugs and edge cases clearly
- Exposure to testing LLM-based features or evaluation frameworks
Responsibilities
- Design, build, and maintain scalable automated end-to-end test suites using Playwright
- Build and run test cases and evaluations for AI-agent behaviour
- Test RESTful APIs and validate complex data flows in databases
- Integrate automated tests into CI/CD pipelines
- Investigate production issues and create automated regression tests
- Contribute to testability, acceptance criteria, QA processes, and standards
Hiring Process
Intro call with the Talent team (30 minutes) → Technical Interview (30 minutes) → Technical Interview (60 minutes)