Senior QA Automation Engineer (Financial Apps)

About the role

This role focuses on owning the quality of financial applications from end to end. The engineer will analyze product specifications, identify logical gaps, and propose improvements to enhance the final product. This involves a proactive approach to quality assurance, moving beyond simple spec testing to actively shape product development.

A key aspect of this position is the use of AI tools to accelerate workflows and automate test coverage, enabling faster delivery without compromising depth. The engineer will also conduct deep-dive analyses, utilizing monitoring tools like Datadog and Sentry to pinpoint root causes of issues, and will be comfortable investigating backend systems.

The successful candidate will build and maintain automation across both backend APIs and frontend interfaces within a rapid development cycle. This position requires an engineer with a product-oriented mindset, someone who actively contributes to improving the systems they are testing, rather than just performing testing tasks.

The salary for this position ranges from $82,000 to $138,000 USD.

Skills that matter here

• TypeScript: This role requires experience building automation across the full stack, preferably using TypeScript.
• AI tools: The engineer will leverage AI tools like Claude Code to accelerate workflows, automate test coverage, and analyze complex errors.
• backend APIs: The role involves building and maintaining automation for backend APIs in a fast-paced environment.
• frontend interfaces: This position requires building and maintaining automation for frontend interfaces.
• Datadog: The engineer will use Datadog to dig into logs and monitor systems to understand the causes of issues.
• Sentry: Sentry will be used for monitoring and analyzing why system components have failed.

Who this role suits

• Someone who takes full ownership of product quality, actively looking for improvements beyond just testing.
• An individual who is comfortable using AI tools to enhance their productivity and automate tasks.
• A person with a strong analytical mindset, who instinctively investigates logs and monitoring tools to find root causes.
• Someone who thrives in a fast-paced environment and can quickly learn new domains within the crypto space.

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."