Mid-level SDET (WFH)

Work Arrangement

• Monday to Friday, 11:00 AM – 8:00 PM

• Willingness to render overtime when necessary

• Equipment will be provided by the company

• Work-from-home setup effective immediately

Responsibilities

• Author and maintain automated UI and API tests (Playwright, TypeScript) covering the trading, custody, and customer-portal surfaces of the platform.

• Work with agentic AI tools daily — planning tests, generating code, triaging failures, reviewing PRs — and critically verify everything an agent produces before it ships.

• Triage nightly regression and smoke runs: separate genuine product bugs from environment noise and test-side defects, and file clear, well-evidenced bug reports that a developer outside your domain can act on.

• Keep the suite honest: link failing tests to known bugs, release them when fixes land, and never let a silent skip or a warning-instead-of-failure hide a real defect.

• Run and maintain suites in CI (GitHub Actions) and help keep the pipelines green, fast and trustworthy.

• Keep test cases traceable in our test-case-management tooling.

• Occasionally cross the test boundary and fix what you find: QA works in the same monorepo as the product, so small bug fixes and improvements to the application itself are yours to ship, through the same PR and review process the developers use.

• Review teammates' test PRs — and respond to review findings on your own, including findings raised by AI reviewers — with evidence, not opinion.

• Collaborate with developers, QA engineers, and product owners across a globally distributed team.

Requirements

• Hands-on experience in software testing, QA automation, or software development —typically 3 to 6 years relevant experience

• Working knowledge of JavaScript/TypeScript, or clear evidence you can pick a language up quickly.

• A solid grasp of how web applications and HTTP APIs work: requests and responses, status codes, JSON, authentication.

• Genuine interest in AI-assisted engineering. You should be comfortable making AI tools do real work — and sceptical enough to check the output. If you already use AI assistants for real tasks, we'll want to hear how.

• Excellent written English. In an agentic workflow, writing is the work: prompts, bug reports, test plans, and review comments all succeed or fail on clarity.

• Attention to detail and honest reporting. A failing test you explain truthfully is worth more to us than a green one you can't.

Strong candidates usually bring several of the following — you don't need them all:

• Hands-on experience with Playwright (or Cypress/Selenium).

• Experience building or maintaining a shared test framework — fixtures, page objects, helpers, CI wiring — rather than only writing specs inside one.

• Exposure to financial services, trading, or capital markets — order lifecycles, settlement, custody concepts.

• WebSockets / real-time data, SQL/PostgreSQL, CI pipelines (GitHub Actions or similar).

• Familiarity with digital assets or blockchain.

Nice to have

• Performance or load testing (k6, JMeter, or similar).