Software Quality Engineering Manager

Job not on LinkedIn

🔥 0 minutes ago

🇪🇬 Egypt – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Unifonic

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2006

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $125M Series B on 2021-09

Consulting • Healthcare • Logistics

Unifonic is a customer engagement platform powered by artificial intelligence, designed to facilitate personalized omnichannel communication. The company offers a variety of communication channels and applications, including SMS, Voice, WhatsApp, Push Notifications, and Webchat to enhance customer interactions across multiple industries. Unifonic focuses on improving marketing automation, IT and operations, and customer support by providing AI-powered tools and automated workflows, ensuring timely and efficient customer communication. Their solutions cater to industries such as retail, banking, healthcare, and logistics, providing integrations with popular platforms like Salesforce and Shopify. With over 25 billion messages sent and 5,000+ customers, Unifonic provides global connectivity and a seamless customer experience.

📋 Description

• Lead, coach, and grow a team of SDETs, including hiring, performance management, and career development • Support multiple scrum delivery teams with estimation, planning, and testing strategy for web and mobile applications • Own the release management process across products • Own test case coverage, test and defect reporting, and quality metrics • Establish and scale automated testing frameworks for UI and API test automation • Advocate for QA best practices across development and engineering teams • Establish lightweight checks and balances to prevent regressions and production issues • Define and evolve QA practices for AI-native features, including validation of LLM and agent outputs and testing of agentic workflows • Organize and lead engineering special initiatives, including process improvement, tool investigation and qualification, and development of test frameworks and techniques • Report to the Senior Products Director and work closely with them to execute the test strategy

🎯 Requirements

• 10+ years of relevant development or testing experience • 7+ years in quality roles testing and automating large-scale, customer-facing systems with sophisticated distributed integrations • 3+ years managing SDETs responsible for qualifying features through the complete software development lifecycle • Excellent knowledge of QE automation architecture, methodologies, processes, and tools • Hands-on experience building QE automation frameworks for frontend and backend applications, including tools such as Cucumber, Selenium, Rest Assured, TestNG, and SOAPUI • Experience creating multiple test frameworks from scratch • Proficiency in Java or Python • Familiarity with databases, SQL, and scripting languages • Understanding of REST and RESTful services • Experience working with remote and distributed teams • Experience working on Agile Scrum teams • Ability to collaborate with and influence cross-functional teams • Ability to drive efficiency through process improvement and automation, increase test coverage, reduce customer-impacting defects, make risk-based decisions, and mentor engineers • Ability to build, drive, and support an automation test strategy • Advanced AI proficiency at minimum Level L5, applying AI across QA, test automation, defect analysis, test data generation, and quality-risk assessment • Experience using AI to generate and expand test cases, accelerate automation development and debugging, analyze logs and defects, generate edge-case test data, and evaluate coverage and release-quality metrics • Strong understanding of testing AI/agent-based features, including hallucination detection, grounding, guardrails, fallback behavior, and prompt-injection resistance • Experience with tools such as Claude is required • AI-generated outputs must be critically reviewed and validated before use in testing or release decisions • Knowledge of software quality engineering, engineering management, test automation, API and UI testing, AI-native quality engineering, release management, Agile software delivery, DevOps and CI/CD, cloud and container technologies, quality strategy and process improvement, and leadership and people management

🏖️ Benefits

• Competitive salary and bonus • Unifonic share scheme • 30 holiday days after the first anniversary • Birthday off • Spend up to 25 days per year working from anywhere in the world • Paid leave for new parents