Senior AI-Driven QA Engineer

Our Partner is a leading technology solutions Group of Companies specializing in the Fintech industry and supporting organizations across more than 30 countries worldwide.

The Group operates a highly complex, regulated Fintech ecosystem built across a mixed technology landscape, including:

• .NET-based monolithic and microservices architectures across legacy and transitional domains
• Java-based monolithic and microservices architectures across legacy and transitional domains
• Heavy Duty RDBMS and Non-RDBMS mandates of Fintech
• Front-end applications built in React, Angular, and TypeScript
• Azure as the primary cloud and infrastructure environment

The environment is characterized by uneven maturity across products, ranging from modern cloud-native architectures to legacy monolithic systems that are still business-critical. This creates both engineering complexity and transformation opportunity at scale.

The QA Organisation:

The Quality Engineering function consists of approximately 55 professionals, structured across product-aligned QA teams under 3 QA Heads reporting to the Director of QA, with strategic oversight from the Deputy COO (former QA Director and Head of Engineering). The role will be placed within a high-maturity QA stream which is currently acting as a pilot environment for next-generation Quality Engineering practices.

We have partnered to look for a Senior AI-Driven QA Engineer to join their QA Shared Services function and help evolve quality engineering practices across products, teams and delivery pipelines.

Strategic Mandate: The organization is transitioning from Traditional automation → Scaled automation → AI-enabled Quality Engineering. AI is currently used for test case generation. The mandate is to evolve towards a Full lifecycle AI-assisted Quality Engineering in production environments

Role Positioning

• Initially an individual contributor role inside the pilot QA stream
• Fast-track evolution into leadership (supported by QA Director + Deputy COO)
• Influences approximately 33% of product portfolio (modernization-heavy domains)

Role Mission: Combining hands-on technical expertise with a coaching and enablement mindset, you will be responsible for accelerating the organization’s quality engineering maturity and helping embed quality throughout the software delivery lifecycle. Through cross-team collaboration, mentorship and engineering-first testing practices, you will help shape a culture where quality becomes a shared responsibility.

This role is designed for an engineering-minded QA professional who combines strong automation expertise with a consultant mindset; someone who can influence teams, coach engineers, modernize testing practices and act as a quality ambassador across the organization.

Core Responsibilities:

AI-Driven Quality Engineering (Primary Focus)

• Research and experiment in how AI contributes to test selection, prioritization, and risk coverage
• Design and implement AI-assisted testing strategies across product domains
• Expand AI usage from test generation into end-to-end quality engineering workflows
• Develop validation approaches for complex, distributed, and non-deterministic systems
• Evaluate and industrialize emerging AI QA tools into production-ready workflows

Automation Engineering & Framework Development

• Build and enhance scalable test automation frameworks (Playwright preferred)
• Develop robust UI and API automation across .NET, Java, and hybrid systems
• Strengthen CI/CD-integrated testing pipelines in Azure DevOps
• Improve reliability, maintainability, and reusability of test assets across teams

Cross-System Quality Enablement

• Work across multiple product teams as a shared QE technical authority
• Harmonize, as far as possible, automation approaches across heterogeneous tech stacks
• Improve testability, observability, and release confidence across domains
• Contribute to shift-left practices and engineering-led quality culture

Transformation & Influence

• Establish the practices from a pilot to standardized phase.
• Act as a key contributor in shaping next-generation QE practices
• Support standardization efforts across QA teams and product lines
• Enable adoption of AI-assisted testing practices across squads

Success Indicators

• AI-assisted testing moves from pilot usage into production-level adoption
• Automation frameworks become shared organizational assets
• QA practices across teams become more standardized and scalable
• Measurable improvement in release confidence and regression efficiency
• Reduced manual regression effort through intelligent automation
• The pilot stream becomes a reference model for enterprise-wide QE transformation

• Proven capability to operate across multiple teams and architectures
• A relevant degree
• 6+ years of experience in software testing and test automation
• Strong hands-on expertise in modern automation frameworks (Playwright preferred)
• Experience across API and UI automation in complex enterprise environments
• Solid understanding of CI/CD pipelines (Azure DevOps or equivalent)
• Familiarity or active exposure to AI-assisted testing or intelligent validation approaches
• Knowledge of test data and environment management
• Comfort in influencing without direct authority, with readiness to step into leadership
• Native-level fluency in Greek
• Strong business fluency in English
• Eligible to work in Greece

It would also be nice if you have:

• Exposure to banking, fintech, or highly regulated environments
• ISTQB certification
• Hands-on experience working in mixed technology environments, including .NET, Java, microservices, and frontend frameworks
• Demonstrated experience introducing meaningful QA or engineering change in the last 12–18 months
• Experience working across various SDLC flows, including Scrum and Waterfall

The Company Offers:

• Competitive salary package 49000-60300 EUR annually
• Meal benefits: Ticket restaurant (120 euros x 12) and annual bonus program.
• Private health insurance and onsite occupational doctor
• Cutting-edge IT equipment, mobile, and data plan.
• Modern facilities, free coffee, beverages, and indoor parking.
• Onsite gym, wellness facilities, and ping pong room.
• Flexible work arrangements curently on 50% - 50% ratio working from home