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Salary
≈ $38k – $89k per year (Estimated)
Location
In office (Vienna)

Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Oct 11, 2026.

Overview
Company
Impact
Profile match
BAWAG Group is a major publicly listed financial holding company and one of Austria's largest banking institutions, offering comprehensive retail, corporate, and digital banking solutions. Headquartered in Vienna, Austria, the group serves millions of individual and commercial customers across core European markets, including Austria, Germany, Switzerland, and the Netherlands. With origins tracing back to 1922, it is recognized for its disciplined capital management, cost-efficient business model, and expansive portfolio of consumer lending and wealth management services.

About the Role

  • We're looking for a QA Engineer who doesn't just find bugs - they prevent them.
  • You'll be embedded in a cross-functional product team, working closely with developers and a Product Owner to build quality in from day one. You write code, you break things on purpose, and you use AI to work faster and smarter.
  • One thing that makes this role different: we already run an AI agent pipeline on the product side. Ideas get shaped, analysed, broken down and turned into Jira tickets by a chain of AI agents with a human reviewing every gate.
  • What we don't have yet is the equivalent on the quality side. That's yours to build.

Your Responsibility

The QA craft

  • Design and maintain automated test suites (E2E, integration, regression) with Playwright as the primary tool
  • Write and execute test strategies for Angular frontends and Java backends
  • Build and own CI pipeline quality gates - no broken build makes it to staging on your watch
  • Perform API testing (REST, Postman/Newman, contract testing)
  • Contribute to test data management and environment stability
  • Conduct exploratory testing focused on edge cases and real user journeys
  • Triage defects, reproduce them reliably, and communicate impact clearly
  • Champion quality practices across the team - you're the one who raises the bar

The AI side

  • Extend our existing AI agent pipeline into QA - the same way we generate requirements today, we want to generate test plans, test cases and Gherkin specs
  • Plug into the pipeline upstream: acceptance criteria written by an agent should come out testable, and you're the one who makes sure they do
  • Use AI to expand coverage, hunt edge cases a human wouldn't think of, and keep test suites from rotting
  • Build the prompts, context files and guardrails that make agent output reliable rather than plausible-looking
  • Decide what AI should not touch - some things need a human, and knowing where that line sits is part of the job
  • Review everything. AI output that ships unreviewed is a defect waiting to happen, and you own that standard for the team

Your Profile

  • 5+ years in QA with a strong automation focus
  • Playwright: you've built and maintained E2E suites from scratch; you understand selectors, fixtures, page object models and parallel execution
  • SQL:you write queries confidently, understand joins and indexes, and validate data at the source without asking a developer
  • AI-assisted testing: you actively use AI tools (Copilot, Claude, ChatGPT or similar) in your day-to-day. You know what a good prompt looks like, you've been burned by a bad one, and you can tell the difference between output that's correct and output that just reads well
  • Solid understanding of Angular applications and how to test them (component, E2E, snapshot)
  • Comfortable reading and writing Java or TypeScript - you're not just clicking around
  • Experience testing REST APIs, HTTP, auth flows, JSON schemas
  • Familiarity with CI/CD pipelines (Jenkins preferred - that's what we run)

Strong Plus

  • Power BI: you build dashboards and reports the team actually uses (quality metrics, coverage, defect trends), not ones that get opened once
  • Jira + Xray or similar test management tooling
  • Experience in banking, fintech or another regulated industry: you understand why the audit trail matters
  • You've built something with AI agents before - custom instructions, agent workflows, MCP, RAG, whatever it was. Tell us what worked and what didn't

Nice to Have

  • OWASP Top 10 awareness
  • Exposure to performance testing (k6, JMeter)
  • Understanding of accessibility testing (WCAG 2.1)

What We Value

  • You ask why before you test what
  • You treat flaky tests as bugs, not noise
  • You're genuinely curious about AI, but you're not a believer - you've seen it get things confidently wrong and you check the output
  • You give honest, constructive feedback in code reviews
  • You document just enough - clear, not exhaustive
  • You care about the end customer, not just the ticket
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