QA Automation Engineer

eEducation Albert AB; Göteborgs kommun; On-site; SEK 540,000 - 760,000; Full time

Job summary

Albert Group is building next-generation maths learning products for school and home. We are seeking a QA Automation Engineer who can own testing strategy across a small, fast-moving product team and drive AI-assisted testing and automation.

You will define standards for unit, component, and end-to-end tests, collaborate with developers, and apply AI to generate, extend, and validate test coverage while performing manual testing when needed.

Qualifications

• Strong QA background spanning test strategy, E2E testing, and manual/exploratory testing.
• Experience defining testing standards for a product team, including unit/component tests written by developers.
• Experience reviewing AI-generated output critically.

Responsibilities

• Set overall testing strategy across the product surface.
• Define standards for unit and component testing.
• Build and maintain end-to-end tests across user flows.
• Apply AI-assisted test generation and automation.
• Perform manual and ad-hoc testing when automation isn't practical.
• Review AI-generated code and features for quality.
• Work with Python where relevant for testing/validating learner data pipelines.

Skills

QA strategy

End-to-end testing

Manual testing

AI-assisted testing

Python for testing

Exploratory testing

Tools

Python

Job description

QA Automation Engineer

Albert Group is building next-generation maths learning products for school and home. AI is a genuine and relevant part of the solution. Quality and accuracy are core to what we do — especially as we build with AI coding agents doing meaningful parts of implementation, which raises the bar on review rather than lowering it.

We're looking for someone who can own testing broadly — not just executing test plans, but setting the testing strategy for a small, fast-moving product team and working hands-on across the full range of automated and manual testing. We want to push testing itself to be heavily AI-driven — using AI to help generate, maintain, and expand test coverage, not just to test AI-built features.

What you'll do:

• Set our overall testing strategy — what gets tested, how, and at what level, across a growing product surface
• Define standards and coverage expectations for unit and component-level testing, which developers write themselves as part of their agentic development workflow — you set the bar and help maintain consistency, rather than writing these tests yourself
• Build and maintain end-to-end tests covering real user flows across the school and home products
• Explore and apply AI-assisted test generation and automation — using AI to produce, expand, and maintain test suites, not just relying on manually written tests
• Do manual and ad-hoc testing where automation isn't practical yet or where human judgment catches things scripts won't — particularly around subtle product logic and learner-facing behavior
• Build a strong review discipline specifically around AI-agent-generated code and features
• Work with Python where relevant for testing/validating learner data pipelines
• Work embedded within the product development team — not a separate QA function bolted on at the end, but part of the daily build process
• Work closely with our learning scientist and pedagogical lead to catch subtle logic errors, not just software bugs

What we're looking for:

• Strong, broad QA background spanning test strategy, E2E testing, and manual/exploratory testing
• Experience setting testing strategy and standards for a product team, including for unit/component tests written by developers — not necessarily writing these yourself
• Real experience reviewing AI-generated output critically — this is central to the role, not incidental
• Experience using AI to generate or automate tests is a strong plus — we recognize this is still an emerging practice, so we're not requiring deep professional experience here, just genuine interest and some hands‑on exploration
• Comfort with Python for data validation tasks
• Ideally some exposure to education or assessment products
• Detail‑oriented, self‑directed — flat team, no management layer