Job Description
General Information
Position
QA Manager | Poland
Work arrangement
Full-time
City
Gdansk, Katowice, Krakow, Lodz, Poznan, Rzeszow, Szczecin, Warsaw, Wroclaw
Country
Poland
Department
Consulting
Team
Customer
Area of interest
Digital, ERP Platforms, IT - Development, IT - Services, Project & Programme Management, Quality Management, Research & Development
Way of work
Hybrid
Description & Requirements
Who we are looking for
✔ Do you have hands-on experience designing and building scalable test automation frameworks using modern technologies such as Playwright and TypeScript?
✔ Are you passionate about leveraging AI across the software delivery lifecycle and driving innovation in Quality Engineering?
✔ Can you take ownership of quality outcomes, delivery timelines and technical direction while effectively communicating with senior stakeholders, including C-level executives?
✔ Do you enjoy working closely with developers, architects and product teams to embed quality throughout the development lifecycle rather than treating testing as a final phase?
If you're motivated by combining technical leadership, AI-driven innovation, Quality Engineering excellence and delivery ownership within an international Digital Team, we'd love to meet you.
🎯 What We Expect From You
Essential
- Extensive experience in Test Automation, Quality Engineering or Software Development in Test (SDET)
- Strong expertise in JavaScript and TypeScript
- Hands-on experience with Playwright and modern UI automation frameworks
- Experience designing, developing and maintaining scalable automation frameworks
- Strong understanding of API testing and modern web application architectures
- Practical experience with Python for automation, tooling, AI integration and test data generation
- Experience with Docker and containerized environments
- Strong understanding of CI/CD pipelines and DevOps practices
- Experience driving quality strategy across all testing layers
- Excellent stakeholder management and communication skills
- Ability to take end-to-end ownership of timelines, quality objectives and delivery outcomes
- Experience working closely with product, engineering and architecture teams
- Strong analytical and problem-solving skills
- Ability to balance technical excellence with business priorities
- Experience mentoring and guiding engineers and quality teams in technical best practices
- Strong understanding of Agile delivery methodologies
- Very good English communication skills
- EU residency
AI & Quality Engineering
- Experience working in AI-enabled software delivery environments
- Understanding of AI-assisted software development and testing practices
- Ability to direct and leverage testing agents and AI-powered engineering tools
- Experience generating and validating AI-generated test assets and outputs
- Ability to assess quality risks associated with AI-driven development
- Passion for exploring and implementing emerging AI-driven Quality Engineering practices
- Strong critical thinking and independent quality judgement when evaluating AI-generated solutions
Nice to Have
- Experience with cloud platforms (AWS, Azure or GCP)
- Experience with Kubernetes
- Experience with performance and load testing
- Experience with security testing
- Experience with semantic testing approaches
- Experience with mutation testing
- Experience with property-based testing
- Experience with AI agents and agent-based workflows
- ISTQB certification
- German language skills
Your future role
As a QA Manager, you will act as a technical quality leader within an AI-first delivery environment, combining hands-on Quality Engineering expertise with delivery ownership and stakeholder management.
Technical & Quality Leadership
- Define and drive Quality Engineering strategy across the project
- Design and evolve scalable test automation frameworks using Playwright and TypeScript
- Establish testing standards, automation architecture and quality best practices
- Ensure effective integration of automated testing into CI/CD pipelines
- Promote engineering excellence, maintainability and reusable automation solutions
- Support technical decision-making across testing and quality domains
- Drive adoption of modern Quality Engineering practices across the team
AI-First Quality Engineering
- Build and shape an AI-first QA capability skilled in directing testing agents, generating test data and validating AI-generated outputs
- Drive adoption of AI-powered approaches across software development and testing activities
- Lead QA innovation initiatives, including evaluation and validation of approaches such as semantic snapshots, agentic property-based testing and AI-driven mutation testing
- Identify opportunities to leverage AI to improve delivery quality, efficiency and engineering productivity
- Ensure teams maintain independent quality judgement and effectively challenge AI-generated tests and recommendations
Delivery Ownership & Stakeholder Management
- Take end-to-end ownership of project timelines from a quality perspective
- Support planning, execution, risk management and quality governance activities
- Communicate delivery progress, risks, dependencies and quality outcomes to senior stakeholders and C-level audiences
- Drive quality-related decision making throughout the software delivery lifecycle
- Ensure release readiness and alignment between quality objectives and business goals
Embedding Quality Across Delivery
- Embed Quality Engineering practices throughout the entire software development lifecycle
- Partner with developers and product teams to define executable acceptance criteria before implementation starts
- Promote Shift-Left Testing and Test-Driven Development practices
- Coach teams to uncover missing scenarios, challenge assumptions and assess business risks
- Strengthen a culture of quality ownership across engineering and product teams
- Continuously improve testing approaches, automation capabilities and quality processes
What we offer
🌟 Why Join Us
🚀 AI-First Project: Work on a project where AI is embedded throughout the entire software delivery lifecycle, not just within testing.
💡 Innovation & Impact: Help shape the future of Quality Engineering through AI-enabled delivery and modern testing practices.
🛠️ Modern Technology Stack: Playwright, TypeScript, Python, Docker, AI-powered engineering tools and cloud-native development practices.
🌍 International Environment: Collaborate with global teams, architects, engineering leaders and business stakeholders.
📈 Strategic Role: Influence technical direction, delivery outcomes and product quality at scale.
📚 Continuous Learning: Work with emerging AI technologies and next-generation engineering approaches in a rapidly evolving environment.
Selection process
- Online test (approx. 1 hour): Critical Thinking, TypeScript, Java Script
- HR Interview (15 minutes).
- Technical interview (approx. 45 minutes)
- Professional interview with Team Leaders (approx. 45 minutes)
- Final interview with Project Leadership (approx. 45 minutes)
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