QA Engineer (Automation)

WHY SPEKTR

At spektr, we are on a mission to automate the world’s most complex compliance workflows through AI. Founded by the team behind HelloFlow (acquired by Trulioo), spektr is building the infrastructure and AI agents to run compliance at scale.

Most large financial companies rely on thousands of employees to handle compliance manually. With spektr’s AI agents, we have the opportunity to change that and completely redefine how compliance operates.

This is a rare opportunity to join spektr at the moment of take-off. We have a proven product, already used by some of the largest and fastest-moving financial companies like Santander, Pleo, Phantom, and many more. Backed by NEA, Northzone, Seedcamp and PSV, we are scaling incredibly fast and changing the way compliance works in real time. The work is ambitious, the bar is high, and the opportunity for personal and professional growth is huge.

THE OPPORTUNITY

We’re looking for a QA Automation Engineer to help us build and scale high-quality, reliable products as we grow.

You’ll work closely with backend engineers, product managers, and customer-facing teams to build and maintain the automated testing that keeps our platform behaving exactly as intended, especially across complex, AI-driven, API-first systems. If you enjoy writing solid test code, finding the edge cases others miss, and helping teams ship with confidence, you’ll feel at home here.

WHAT YOU WILL BE DOING

• Test Automation: Design, build and maintain scalable automated E2E test suites using Cypress, using LLMs to speed up test generation and maintenance.

• Agent Validation: Build and run test cases and evals that validate AI agent behaviour, so our autonomous compliance workflows are accurate, explainable and hallucination-free.

• API & Data Validation: Test RESTful APIs and validate complex data flows, checking data directly in the database so frontend, backend and AI systems stay fully aligned.

• CI/CD Integration: Integrate automated tests into CI/CD pipelines so AI model updates and deployments don’t break existing logic.

• Production Issues: Investigate production issues, reproduce failures and turn them into automated regression tests.

• Quality Practices: Work with engineers and PMs early in development on testability and acceptance criteria, and contribute to our QA processes and standards.

WHAT WE ARE LOOKING FOR

• The Scale-up Mindset: You thrive in fast-moving environments and prefer building systems over following manuals.

• Automation Expertise: Strong hands-on experience with JavaScript/TypeScript and modern frameworks like Cypress.

• API & Database Skills: You’re comfortable navigating backend services, testing RESTful APIs and verifying data integrity with SQL.

• Maintainable Test Code: You don’t just write scripts. You write clean, reusable tests that the rest of the team can build on.

• Communication Skills: You can explain a bug or edge case clearly to both a PM and an engineer.

• Detail Obsession: You have a “sixth sense” for where a system might break and a genuine passion for delivering a polished user experience.

• Curiosity about AI testing: Exposure to testing LLM-based features or eval frameworks is a strong plus.

OUR TECH INTERESTS

• Languages: JavaScript / TypeScript

• Testing: Cypress

• AI/ML: LLM Prompting, LangChain/AutoGPT concepts, Evals frameworks

• Infrastructure: API-driven architectures, SQL databases, CI/CD pipelines

OUR PROCESS

• Intro call with our Talent team (30 minutes)

• Technical Interview (30 minutes)

• Technical Interview (60 minutes)