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Join Fireblocks as a Senior QA Automation Engineer to enhance the quality of financial applications in the crypto space. Leverage AI and automation to ensure robust product quality in a fast-paced environment.
Fireblocks is the institutional standard for digital asset security and settlement. We enable banks, fintechs, and exchanges—like BNY Mellon, Revolut, and ANZ—to securely navigate the blockchain economy. Our platform and network provide the simplest and most secure way for companies to work with digital assets.
What You’ll Do
- Holistic Quality Ownership: You own the quality of the product end-to-end. You don’t just test against a spec; you analyze the spec, find the logical gaps, and suggest improvements to ensure a better final product.
- AI-Powered Velocity: You leverage AI agents (e.g., Claude Code) to accelerate your workflow, automate test coverage, and ship faster without sacrificing depth.
- Deep-Dive Analysis: You are comfortable digging into logs and monitoring tools (Datadog/Sentry) to understand why something broke. You aren't afraid to get your hands dirty in the backend to find the root cause.
- Automation at Scale: Apply your experience to build and maintain automation across both backend APIs and frontend interfaces in a very fast-paced environment.
- Product Partnership: You don't see yourself as "just a tester." You are an engineer with a product mindset who actively works to improve the systems you are checking.
Who You Are
- Experienced: 3+ years of building automation across the full stack (Frontend & Backend) preferably with experience in TypeScript.
- Crypto-Technical: You have a strong grasp of blockchain fundamentals, the end-to-end transaction lifecycle, and the logic behind DeFi protocols like staking and bridging.
- AI-Fluent: You already use AI tools to force-multiply your output and analyze complex errors more efficiently.
- Adaptive: You have the ability to learn multiple domains quickly and thrive in a fast-paced environment that moves at the speed of crypto.
- Analytical: When you see an error, your first instinct is to look at the logs and find the "why."