Lead Automation QA Engineer

HFM

Lead Automation QA Engineer at HFM, focusing on AI/ML testing tools in fintech. Establishing test automation strategies and mentoring engineers for high data integrity in trading platforms.

Posted 7/23/2026full-timeAthens • 🇬🇷 GreeceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and owning test automation strategies, with a strong focus on AI/ML adoption and performance testing within high-transactional environments. Proven leadership in mentoring teams and integrating automation into CI/CD pipelines while ensuring architectural alignment.

Highest-signal resume keywords

QA AutomationAI/ML TestingPerformance TestingCI/CD IntegrationLeadership in FinTech

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Test Automation StrategyPerformance TestingLoad TestingObject-Oriented DesignAutomation PatternsAI/ML ConceptsCoding in PythonCoding in JavaCoding in JavaScriptAnalyzing Network Metrics

Soft Skills

Team MentorshipArchitectural Alignment

Tools & Technologies

JenkinsGitLab CIDockerKubernetesK6Locust

Industry Keywords

FinTechForexHigh-Transactional PlatformsFinancial Market ConceptsTrading Platform Functionalities

Tech Stack

Tools & technologies

DockerJavaJavaScriptJenkinsKubernetesPython

About the role

Key responsibilities & impact

Define and Own Test Automation Strategy
Drive AI/ML Adoption (MCP Focus)
Team & Mentorship
Architectural Alignment
Framework Ownership
Performance & Load Testing
CI/CD & DevOps Integration
Contextual Test Design

Requirements

What you’ll need

7+ years of hands-on experience in QA automation
At least 2+ years in a leadership or senior mentorship role within a FinTech, Forex, or high-transactional platform environment
Expert-level coding skills in at least one modern language (e.g., Python, Java, JavaScript)
Deep understanding of object-oriented design and automation patterns
Strong, demonstrable background in performance, load, and stress testing using tools like k6, Locust
Experience analyzing low-latency network metrics
Expertise in integrating automation into modern CI/CD pipelines (Jenkins, GitLab CI)
Understanding of containerization (Docker, Kubernetes) for scalable test environment management
Proven understanding or hands-on experience working with AI/ML testing concepts, specifically around Model Context Protocol (MCP)
Solid understanding of financial market concepts, trading platform functionalities, and the necessity of high data integrity and precision

Benefits

Comp & perks

Hybrid Work Model (2 days working from home)
Monthly Food Vouchers
Comprehensive Health & Life Insurance
Summer Short Fridays (August)
Additional Paid Annual Leave
Birthday Leave
Training & Education Allowance
Udemy Business access
Referral Bonus Program
Additional Support
Visa Sponsorship and Relocation Assistance