Senior QA Automation Engineer (Financial Apps)

About the role

This role focuses on owning the quality of financial applications within the digital asset sector. The engineer will not only test against specifications but also analyze them for gaps and propose improvements to enhance the final product. A key aspect involves using AI agents to accelerate workflows and automate test coverage, ensuring rapid delivery without compromising depth.

The position requires a strong analytical approach, including digging into logs and monitoring tools like Datadog and Sentry to identify root causes of issues. The successful candidate will build and maintain automation across both backend APIs and frontend interfaces, operating in a fast-paced environment. This involves applying existing experience to scale automation efforts effectively.

Success in this role means acting as an engineer with a product mindset, actively contributing to system improvements rather than just testing. The individual will need to quickly learn new domains and adapt to the rapid pace of the crypto industry, ensuring robust product quality for institutional clients navigating the blockchain economy.

The salary range for this position is between $82,000 and $138,000 USD.

Skills that matter here

• TypeScript: This role involves building automation across the full stack, with a preference for experience in TypeScript.
• AI tools: The engineer will leverage AI agents to accelerate workflows, automate test coverage, and analyze complex errors efficiently.
• backend APIs: The role requires building and maintaining automation across backend APIs to ensure product quality.
• frontend interfaces: The engineer will also apply automation experience to frontend interfaces within the financial applications.
• Datadog: The role involves using monitoring tools like Datadog to analyze logs and understand the root causes of issues.
• Sentry: The engineer will utilize Sentry as a monitoring tool to investigate and diagnose problems within the applications.

Who this role suits

• You have at least three years of experience building full-stack automation, preferably with TypeScript.
• You possess a solid understanding of blockchain fundamentals, transaction lifecycles, and DeFi protocols.
• You are accustomed to using AI tools to enhance your productivity and error analysis.
• You are an analytical problem-solver whose first instinct is to examine logs to find the underlying cause of an error.

From the employer

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."