Lead Automation QA Engineer

HFM

Lead Automation QA Engineer driving test automation strategy and AI/ML adoption for HFM's trading platform. Overseeing a team to ensure robust testing in a low-latency environment.

Posted 7/23/2026full-timeLarnaca • 🇨🇾 CyprusSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and implementing test automation strategies, particularly in low-latency trading environments, while leading and mentoring teams to achieve high coding standards and system-level understanding. Proficient in integrating AI/ML testing tools and CI/CD pipelines to enhance testing efficiency and coverage.

Highest-signal resume keywords

Test Automation StrategyAI/ML Testing ToolsPerformance TestingCI/CD IntegrationLeadership & Mentorship

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonJavaJavaScriptPerformance TestingLoad TestingStress TestingObject-Oriented DesignAutomation PatternsModel Context ProtocolAdaptive Testing

Soft Skills

Team LeadershipMentorshipCoachingCollaborationCommunication

Tools & Technologies

JenkinsGitLab CIDockerKubernetesK6LocustPlaywright

Industry Keywords

FinTechForexHigh-Transactional PlatformsFinancial Market ConceptsData Integrity

Tech Stack

Tools & technologies

DockerJavaJavaScriptJenkinsKubernetesMicroservicesPython

About the role

Key responsibilities & impact

Define and Own Test Automation Strategy: Establish a robust, scalable, and cost-effective test automation strategy that aligns with short-term release goals and long-term product vision for a low-latency trading environment.
Drive AI/ML Adoption (MCP Focus): Champion the research, proof-of-concept, and full implementation of AI-powered testing tools, specifically focusing on utilizing the Model Context Protocol (MCP) with Playwright in Python to build adaptive, self-aware test suites that understand system changes and minimize maintenance effort.
Team & Mentorship: Lead, mentor, and coach Senior, Mid, and Junior Automation Engineers, fostering a culture of engineering excellence, high coding standards, and deep system-level understanding.
Architectural Alignment: Represent QA in architecture reviews and design discussions, ensuring testability is baked into the system design from inception, especially for distributed microservices.
Framework Ownership: Lead the design and development of advanced, polyglot test automation frameworks (API, UI, Database, Mobile) ensuring they are scalable, highly maintainable, and adhere to best-in-class design patterns.
Performance & Load Testing: Define and manage the strategy for high-frequency performance and load testing, focusing on latency and throughput benchmarks critical for a Forex trading platform. Provide actionable reports and system tuning recommendations.
CI/CD & DevOps Integration: Collaborate closely with DevOps to optimize the continuous testing pipeline (CT), ensuring full test suite execution is a seamless, fast, and mandatory gate in the CI/CD flow (e.g., Jenkins, GitLab CI).
Contextual Test Design: Design test automation solutions that effectively gather and utilize system context and behavior data to enhance testing coverage and pinpoint complex issues, feeding into the Model Context Protocol (MCP).

Requirements

What you’ll need

7+ years of hands-on experience in QA automation, with 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) and a deep understanding of object-oriented design and automation patterns.
Strong, demonstrable background in performance, load, and stress testing using tools like k6, Locust, with specific experience analyzing low-latency network metrics.
Expertise in integrating automation into modern CI/CD pipelines (Jenkins, GitLab CI) and working with 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), adaptive testing, or self-healing techniques driven by system context.
Experience with integrating and leveraging specialized AI/ML tools to enhance testing intelligence and coverage.
Solid understanding of financial market concepts, trading platform functionalities, and the necessity of high data integrity and precision.
Resumes must be submitted in English.
Applicants must be eligible or have legal authorization to work in the country where the position is based.

Benefits

Comp & perks

Hybrid Work Model (2 days working from home)
Monthly Wolt Vouchers
Comprehensive Health & Life Insurance
Provident Fund (Upon completion of the trial period)
Summer Short Fridays (August)
Additional Paid Annual Leave (up to 30 days, based on years of service)
Birthday Leave
Training & Education Allowance
Udemy Business access
Gym Membership
Referral Bonus Program
Additional Support
Visa Sponsorship and Relocation Assistance