Senior SDET (Blockchain)

About FereAI

blockchain

artificial intelligence

Role Overview

designing, developing, and executing automated test frameworks

writing production-grade code

Key Responsibilities

• 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.
  

Required Skills & Experience

• Programming Skills: Proficiency in Python and/or JavaScript/TypeScript for automation.
• Test Frameworks: Experience with PyTest, Playwright, Cypress, Jest, or equivalent.
• API Testing: Strong experience testing REST and WebSocket APIs; familiarity with tools like Postman, Newman, or k6.
• Blockchain Knowledge: Understanding of crypto wallets, blockchain transactions, RPC calls, and smart contract testing (e.g., Hardhat, Foundry, Anchor).
• CI/CD: Hands-on with GitHub Actions, GitLab CI, or similar pipelines.
• Databases: Experience with SQL/NoSQL databases, preferably PostgreSQL and/or Redis.
• Performance Testing: Familiarity with load testing and benchmarking tools.
• Version Control: Proficient with Git and collaborative workflows.
  

Nice to Have

• Experience with DeFi protocols, tokenomics, and blockchain analytics.
• Exposure to ML model testing, dataset validation, and AI explainability checks.
• Knowledge of Docker and Kubernetes for environment management.
• Security testing tools (e.g., OWASP ZAP, MythX, Slither).
• Familiarity with event-driven systems and real-time data pipelines.