
Senior Engineering Automation Specialist
3 days ago
Leading Edge SDET
TechCareer is seeking an experienced Senior Software Development Engineer in Test (SDET) to lead the development and implementation of automated test frameworks for next-generation tools in decentralized finance.
About the Role
As a fast-growing tech company at the intersection of blockchain and artificial intelligence, we build high-performance engineering solutions for intelligent data-driven systems. Our team combines expertise in crypto protocols, AI modeling, and high-performance engineering to create products that redefine how people interact with financial markets.
Key Responsibilities:
- Design, implement, and maintain automated test frameworks for backend, frontend, APIs, and blockchain interactions.
- Simulate on-chain transactions, wallet interactions, and smart contract behavior for EVM-compatible chains and/or Solana.
- Test AI-driven decision-making flows, ensuring correctness, performance, and resilience in production environments.
- Stress-test systems handling large datasets, market data feeds, and high-throughput API calls.
- Implement tests for authentication, data integrity, rate-limiting, and vulnerability detection.
- Work closely with developers to ensure testability, participate in code reviews, and advocate for best engineering practices.
- Maintain test suites in the build pipeline, ensuring automated regression testing on every commit.
Required Skills & Experience:
- Proficiency in Python and/or JavaScript/TypeScript for automation.
- Experience with PyTest, Playwright, Cypress, Jest, or equivalent.
- Strong experience testing REST and WebSocket APIs; familiarity with tools like Postman, Newman, or k6.
- Understanding of crypto wallets, blockchain transactions, RPC calls, and smart contract testing (e.g., Hardhat, Foundry, Anchor).
- Hands-on with GitHub Actions, GitLab CI, or similar pipelines.
- Experience with SQL/NoSQL databases, preferably PostgreSQL and/or Redis.
- Familiarity with load testing and benchmarking tools.
- 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.
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