Genius is building a professional, high-velocity on-chain trading terminal where correctness, determinism, and execution integrity are non-negotiable. This role owns automated testing across both the frontend interface and the on-chain execution layer.
The Senior QA Engineer is responsible for designing, implementing, and maintaining automated test coverage that continuously validates UI behavior, backend coordination, and on-chain state transitions.
This is an automation-first role with real ownership over quality infrastructure.
Core ResponsibilitiesDesign and maintain automated test suites covering:
Frontend user flows (wallet connection, balances, trading, error states)
Backend coordination and API contracts
On-chain execution flows and state transitions
Build deterministic tests for:
Order submission and cancellation
Slippage enforcement and fee calculation
Transaction lifecycle (submitted, pending, confirmed, reverted)
Balance and position reconciliation between UI and chain
Automate regression coverage for critical trading paths
Validate frontend state against on-chain truth
Create mocks, fixtures, and local chain environments where appropriate
Integrate automated tests into CI/CD pipelines
Triage failures and distinguish product bugs from test instability
Work closely with engineers to enforce testability at the architecture level
5+ years experience in QA engineering with a strong automation focus
Proven experience testing complex, stateful systems
Strong proficiency with modern test frameworks for:
Frontend automation (e.g. Playwright, Cypress, Selenium)
API and integration testing
Ability to design deterministic, non-flaky tests
Strong debugging skills across frontend, backend, and execution layers
Clear written communication and disciplined documentation
Experience testing trading systems, financial platforms, or real-time systems
Familiarity with blockchain execution models and on-chain state
Working knowledge (or fast ramp-up ability) on concepts such as:
Wallets and signing flows
Gas estimation and failures
Slippage, MEV, and partial execution scenarios
Experience running tests against:
Local chains or forks
Testnets and simulated mainnet conditions
Manual-only testing without automation ownership
Writing superficial UI tests that do not validate execution correctness
Treating QA as a downstream or passive function
High-confidence releases backed by automated coverage
Early detection of execution-breaking regressions
Low test flakiness and fast CI signal
Clear ownership of quality across frontend and on-chain execution
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