
Automated Software Quality Engineer
1 week ago
Looking for a challenging role?
Senior SDETWe are seeking a Senior SDET to join our team and contribute to the development of cutting-edge projects.
About the Role:
The ideal candidate will design, develop, and execute automated test frameworks to ensure the performance, security, and reliability of our products. This involves working closely with developers, AI researchers, and blockchain engineers to validate features, simulate real-world scenarios, and maintain high-quality releases.
- Automation Development: Design, implement, and maintain automated test frameworks for backend, frontend, APIs, and blockchain interactions.
- Blockchain Testing: Simulate on-chain transactions, wallet interactions, and smart contract behavior for EVM-compatible chains and/or Solana.
- Ai System Validation: Test AI-driven decision-making flows, ensuring correctness, performance, and resilience in production environments.
- Performance & Load Testing: Stress-test systems handling large datasets, market data feeds, and high-throughput API calls.
- Security & Reliability: Implement tests for authentication, data integrity, rate-limiting, and vulnerability detection.
- Collaboration: Work closely with developers to ensure testability, participate in code reviews, and advocate for best engineering practices.
- CI/CD Integration: Maintain test suites in the build pipeline, ensuring automated regression testing on every commit.
About You:
We are looking for a skilled and experienced Senior SDET who has a strong background in programming, test frameworks, and blockchain technology. You should be able to work independently and as part of a team, have excellent communication skills, and be passionate about delivering high-quality software.
What We Offer:
We offer a competitive salary, a dynamic and supportive work environment, and opportunities for professional growth and development.
Nice to Have:
We are also interested in candidates who have experience with DeFi protocols, tokenomics, and blockchain analytics, as well as exposure to ML model testing, dataset validation, and AI explainability checks.
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