Senior QA Specialist (Typescript + AI)

Description

The company is a global partner for AI-first digital transformation and engineering, with more than 25 years in the field and around 5,000 staff across 16 countries.

Its core areas are artificial intelligence, data and cloud, intelligent automation and digital products.

The CEE unit has close to 1,000 specialists building modern applications, data platforms and AI solutions for large clients, using AWS, Azure, GCP, Databricks and Snowflake.

The team is small and senior. It is modernising a large set of legacy desktop business applications from an established financial software platform into web solutions.

Migration is done with AI coding agents in a structured, gated workflow. You own quality and verification: showing that a migrated application behaves like the original, embedding automated checks in delivery, and helping the client's engineers adopt this approach.

Responsibilities

• Design the verification approach for migrated applications, from test strategy through to acceptance.
• Define behavioural specifications and keep them testable and traceable to the source system.
• Build automated quality gates into the AI-assisted development workflow.
• Test REST APIs and web front ends, validating data against the legacy system.
• Measure and report on test effectiveness, review effort and quality metrics.
• Run acceptance testing with domain experts and record results in agreed formats.
• Prepare and deliver knowledge transfer sessions for the client's engineering team.

Requirements

• 5+ years in quality engineering, including verifying legacy system migrations or rewrites through characterization, golden master or parity testing.
• Skill in specification-based test design and traceability, for example with BDD, acceptance criteria or requirements-based testing.
• Strong test automation skills in TypeScript.
• REST API testing, covering contract and schema validation and data-driven tests.
• Web E2E testing, with Playwright preferred.
• Good SQL skills and experience validating data in business applications.
• Hands-on use of AI coding tools such as Claude Code, Cursor or GitHub Copilot in QA work, and the ability to critically evaluate AI-generated code and tests.
• Experience measuring test effectiveness through mutation testing, fault injection or similar methods.
• Experience testing data-intensive business systems, ideally in finance or ERP.
• Fluent English.
• Practical use of AI-powered assistants such as Claude Code, GitHub Copilot or Cursor to improve productivity, quality or decision-making in software delivery.
• Experience evaluating LLM output, for example with eval harnesses or LLM-as-judge setups.
• Snapshot, approval, visual regression or property-based testing.
• Testing multi-tenant or single-tenant-per-customer deployments.
• Performance and batch processing testing.
• Mutation testing tools such as Stryker or PIT.
• Working knowledge of Docker and CI/CD pipelines, and setting up isolated test environments.
• Structured use of GenAI within the SDLC, such as defined workflows, prompt patterns or tool integrations in daily work.
• Interest in and familiarity with emerging AI-driven practices, such as agent-based workflows, automation patterns and AI-augmented development, and a willingness to experiment beyond standard approaches.

Conditions

Work from the European Union region. A work permit is required.

Hiring steps: CV review, HR call, interview, client interview, then decision.