Job Description
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 ne placed under the accommodation of 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 an AI Assisted & Automation 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
Strong systems and business thinking
Proven Capabilities and /or interest 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
It would also be nice if you have:
- Exposure to Banking /Fintech or Highly Regulated Environments
- Knowledge of test data and environment management
- ISTQB Certification
- Hands on Experience with technological complexity - mixed technology stacks (.NET, Java, microservices, frontend frameworks), where you have built your resilience
- Demonstrated experience introducing meaningful QA or engineering change in the last 12–18 months
- Experience working across multiple teams/products and Various SDLC flows (SCRUM, Waterfall)
- Comfort in influencing without direct authority, with readiness to step into leadership
What Makes This Role Unique:
- You will operate within the most advanced QA stream in a 55-person Quality Engineering organization
- Your work will directly influence approximately 33% of the product portfolio, including the fastest-moving modernization initiatives
- You will help define how AI is embedded into real production QA systems, not experimental frameworks
- You will be part of a Deputy COO–backed transformation mandate, ensuring visibility and adoption across the organization
- You will transition from individual technical ownership into a fast-evolving leadership trajectory
Why This Role Matters:
This is not a traditional QA engineering position. It is a strategic entry point into the next evolution of Quality Engineering in Fintech, where:
- Automation evolves into intelligence
- QA becomes an embedded engineering capability
- AI becomes part of production quality systems, not experimental tooling
- Quality shifts from validation to continuous system awareness
- It is designed for an engineer ready to move beyond execution into architecting how quality is defined and scaled across an enterprise system landscape.
The Company Offers:
- Competitive salary package 3500 - 4500 gross euros monthly
- 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
ABOUT US:
Founded in 2018, HumanI is an Executive Search firm, satisfying the needs of organizations for C-level, Senior and Middle positions, or specialised projects in the Engineering and Software functions. In parallel, through our partnerships we support HR Digital Transformation initiatives and build data analytics to facilitate informed decision making. Our competitive advantage stems from the collaboration of diversified people with backgrounds in HR, Psychology, Coaching, IT and Finance.
Our brand “HumanI”, stands for Human Intelligence, encompassing our belief that no matter how multifaceted, digitally advanced or artificially intelligent a system may seem, it will always be a creation of 𝗛𝘂𝗺𝗮𝗻𝘀. This human aspect and ethical part of our work makes us unique in what we do. Ethical Headhunting; treating our candidates as our true clients, investing time and effort, consulting them on their careers. Supporting our companies as genuine strategic partners, investing in understanding their own internal needs and market trends.
Each person is 𝗨𝗡𝗜𝗤𝗨𝗘 to us. After all, talent resides in deviations; embracing it, is the only way forward.
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