{"id":1806106,"url":"https://alion.io/job/vertextech-eg-senior-automation-qa-engineer","title":"Senior Automation QA Engineer","company":{"id":3882190,"name":"Vertex Technologies","domain":"vertextech-eg.com","url":"https://alion.io/company/vertextech-eg","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":9000,"max_usd":25000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1282},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cypress","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"JMeter","optional":false},{"name":"k6","optional":false},{"name":"Locust","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Playwright","optional":false},{"name":"Python","optional":false},{"name":"Selenium","optional":false},{"name":"TypeScript","optional":false},{"name":"WebDriverIO","optional":false}],"status":"live","first_seen_at":"2026-09-21T12:35:26Z","employer_posted_date":null,"last_verified_at":"2026-09-21T12:35:26Z","board_verified":false,"closed_at":null,"days_open":35,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":35},"description":"We are looking for a Senior Automation QA Engineer to join our growing engineering team. In this role, you will play a key technical role across a diverse ecosystem—spanning back-end microservices, Web UI portals, mobile applications, VR, Data Analytics, and Machine Learning.\nWe need a proactive quality leader who can architect scalable test automation frameworks, establish quality standards, integrate AI-driven testing workflows, and mentor team members across multiple project streams.\n\nWhat We Offer:\nLong-term career stability with a competitive salary paid in USD.\n\nConditions for steady career development.\n\nDevelopment supported by dedicated mentors and a variety of programs focused on expertise and innovation.\n\nPrivate medical insurance provided after successful completion of the probationary period\n\nA well-equipped and cozy office supports comfort and productivity across all project stages.\n\nWelcoming atmosphere and a friendly corporate culture.\n\nRequirements\nWhat we expect from you\nExperience: 5+ years of commercial experience in software test automation including leadership or ownership.\n\nArchitecture & Frameworks: Hands-on experience building, maintaining, and scaling commercial-grade automation frameworks from scratch (UI and API).\n\nProgramming Mastery: Strong proficiency in at least two primary automation languages (TypeScript/JavaScript, Java, Python or C#) with solid software engineering principles (OOP, Design Patterns, SOLID).\n\nCI/CD & DevOps: Practical experience integrating automated test suites into CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) and working with containerization tools (Docker).\n\nAI-Proficiency in: \nBuilding multi-agent workflows using AI Assistants like GitHub Copilot, Codex, and Claude, covering all STLC stages.\n\nOutput validation and improvement techniques.\n\nEffective context collection, handling, and processing.\n\nSuccess measurement and efficiency assessment.\n\nProcess & Strategy: Deep understanding of Agile methodologies, quality metrics, and the ability to define overall test strategies rather than just executing scripts.\n\nTooling & Version Control: Advanced knowledge of modern automation tools (Playwright, Cypress, Selenium, or WebdriverIO) and Git workflows.\n\nCommunication: Upper-Intermediate (B2+) or Advanced (C1) English for clear technical communication with cross-functional stakeholders.\n\nWill be a plus\nExperience setting up and running Performance & Load Testing (e.g., JMeter, k6, Locust).\n\nDirect experience with automated testing for Data Analytics, Machine Learning models, or VR applications.\n\nExperience mentoring junior/middle engineers and conducting technical code reviews.\n\nKnowledge of infrastructure-as-code or cloud platforms (AWS, Azure, or GCP).\n\nDeep understanding of AI and Large Language Models (LLMs), including their application in automated test generation and defect 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