وظائف هندسة النظم في قطر

<h2 class="h5">وصف الوظيفة</h2> <div class="t-break" data-jb-field="description"> <span>تتطلع Mindrift إلى العثور على مصمم علامة تجارية عالي المهارة للانضمام إلى مشروع Tendem (**https://tendem.<br>ai/**) وخلق هويات بصرية قوية لعلامات تجارية ومنتجات واقعية. <br> في هذا الدور، ستطبق خبرتك في استراتيجية العلامة التجارية، الهوية البصرية، ونُظم التصميم لخلق أصول علامة تجارية متماسكة وحديثة وذات تأثير. <br> هذه الفرصة بدوام جزئي عن بُعد مثالية للمهنيين المبدعين ذوي الخبرة العملية في إنشاء أصول العلامة التجارية، تطوير الهوية البصرية، والحفاظ على اتساق العلامة التجارية. <br> ماذا نقوم به منصة Mindrift تربط الخبراء بمشروعات تكنولوجية مبتكرة. <br> هدفنا هو المساعدة في تطوير تكنولوجيا AI عالية الجودة من خلال الجمع بين خبرة الواقع من المهنيين حول العالم مع جهود تطوير AI المتقدمة. <br> حول الدور هذه وظيفة حرة لمشروع Tendem. <br> كمصمم علامة تجارية، سيكون تركيزك على إنشاء أصول العلامة التجارية، الهوية البصرية، واتساق العلامة التجارية. <br> نحتاج إلى متخصص رئيسي مكرس لبناء أساس بصري قوي. <br> ستعمل كمعماري لهوية العلامة التجارية، تقوم بتحديث الجمالية والتأكد من أن جميع نقاط التماس البصرية تبدو متماسكة عبر وسائل متعددة باستخدام أدوات التصميم المعتمدة في الصناعة. <br> المسؤوليات الرئيسية تطوير أصول علامة تجارية أساسية، بما في ذلك الشعارات، والهوية البصرية الكاملة، وأنظمة الألوان الشاملة. <br> إنشاء، وتنظيم بشكل منهجي، وتقديم التكرارات الضرورية لعناصر العلامة الأساسية. <br> العمل كحارس صارم لاتساق العلامة التجارية عبر جميع المواد الداخلية والخارجية، بما في ذلك عروض الشرائح وحزم الوسائط الاجتماعية. <br> بناء أنظمة بصرية قابلة للتوسع وقابلة للاستمرار تتماشى مع المعايير التصميمية الحديثة. <br> فرض جودة التصميم من خلال التحقق عبر المنصات، مع التأكد من أن جمالية العلامة التجارية تُترجم بسلاسة عبر الوسائط الرقمية والمطبوعة. <br> كيف تبدأ التقديم، اجتز الاختبار/الاختبارات، وابدأ بالتح contribute للمشروعات المتماشية مع خبرتك — وفق جدولك. <br> المؤهلات التعليمية: خبرة لا تقل عن سنتين في تصميم العلامة التجارية، تصميم الجرافيك، الإخراج الفني، أو الاتصالات البصرية مرغوبة. <br> درجة البكالوريوس أو الماجستير في تصميم الجرافيك، الفنون البصرية، تصميم الاتصالات، أو مجالات إبداعية ذات صلة تعتبر زائدًا. <br> الخبرة الأكاديمية و/أو المهنية: يجب أن يكون لدى المرشح ملف أعمال قوي يركز بشكل كبير على إنشاء الهوية العلامة، تصميم الشعار، ودلائل العلامة الشاملة. <br> نبحث عن متخصصين لديهم فهم عميق لكيفية ترجمة العلامة الأساسية بسلاسة عبر الوسائط الرقمية والمطبوعة المختلفة. <br> نهج استراتيجي ومهووس بالتفاصيل والقدرة على العمل بشكل مستقل لبناء أنظمة بصرية طويلة الأمد ضروريان. <br> المهارات التقنية (أساسية): إنشاء هوية العلامة: خبرة في بناء أصول أساسية من الصفر، بما في ذلك شعارات قابلة للتوسع ولوحات ألوان مميزة وأنظمة طباعة. <br> أدوات التصميم: إتقان عميق لبرنامج Adobe Creative Suite (Illustrator، Photoshop، InDesign) وFigma لصنع وإدارة أصول التصميم الأساسية. <br> التكيف عبر الوسائط: قدرة مثبتة على ترجمة DNA العلامة بشكل مثالي عبر صيغ مختلفة، من حزم وسائل التواصل الرقمية إلى عروض الشرائح الشركاتية ومواد مطبوعة. <br> هندسة نظام العلامة: مهارات تنظيمية قوية لتطوير دلائل أسلوب، ودلائل هوية، ومكتبات أصول منظمة لاستخدام الفريق الأوسع. <br> المتطلبات الإضافية: عقلية استراتيجية ومهووسة بالتفاصيل مركّزة على قيمة العلامة التجارية على المدى الطويل. <br> تفانٍ قوي في الاتساق البصري والعمل كحارس حقيقي للعلامة. <br> أخلاق عمل ذاتي التوجيه مع القدرة على حل المشكلات بشكل مستقل وتقديم أصول عالية الجودة. <br> يجب تضمين محفظة تعرض أعمال العلامة (شعارات، أنظمة الهوية، دلائل) في السيرة الذاتية. الكفاءة في اللغة الإنجليزية: مستوى أعلى من المتوسط (B2) أو أعلى (مطلوب). <br> توقعات الوقت للمشروع: لهذه المشروع، يُقدّر أن المهام تستغرق حوالي 10–20 ساعة أسبوعيًا خلال المراحل النشطة، وفق متطلبات المشروع. <br> هذا تقدير وليس عبء عمل مضمون، ويطبق فقط أثناء نشاط المشروع. <br> التعويض: في هذا المشروع، يمكن للمساهمين كسب ما يصل إلى 45 دولارًا في الساعة مكافئًا، وفق مستواهم وتيرتهم في المساهمة. <br> يتفاوت التعويض عبر المشاريع حسب النطاق والتعقيد والخبرة المطلوبة. <br> يرجى ملاحظة أن مشاريع أخرى على المنصة قد تقدم مستويات ربح مختلفة بناءً على متطلباتها.<br></span> </div>

يدعو برنامج الهندسة الكهربائية وهندسة الحاسوب (ECEN) في جامعة تكساس إيه أند إم في قطر لتقديم الطلبات لشغل وظيفة أكاديمية مهنية بنظام الدوام الكامل (بدون تثبيت) في مجال هندسة الحاسوب. سيتم النظر في المتقدمين للحصول على المسميات الأكاديمية: أستاذ مساعد تعليمي أو أستاذ مشارك تعليمي، وذلك بناءً على المؤهلات.<br><br>تتضمن هذه الوظيفة ذات المسار غير القابل للتثبيت تعيينًا أكاديميًا لمدة 9 أشهر مع تاريخ بدء متوقع في صيف أو خريف عام 2024. ويتضمن التعيين لمدة 9 أشهر عبئًا تدريسيًا يعادل 3-3 مقررات خلال الفصلين الدراسيين الخريف والربيع. وسيكون من المتوقع أيضًا من المتقدم الناجح تدريس مقررين خلال الفصل الدراسي الصيفي مقابل راتب إضافي لمدة 3 أشهر. ستكون المسؤولية الرئيسية للمتقدم هي تدريس المقررات في الهندسة الكهربائية وهندسة الحاسوب. سيتم النظر في المرشحين في جميع المجالات، ولكن يُشجع بشكل خاص أولئك المتخصصون في مجالات هندسة الحاسوب والبرمجة على التقدم. تتضمن هذه الوظيفة واجبات التدريس والخدمة فقط ولا تتضمن أنشطة بحثية. يُعتبر المتقدمون الذين يمكنهم تقديم مقررات جديدة لمرحلة البكالوريوس مثل تطوير التطبيقات لنظامي iOS وAndroid، وبرمجة تطبيقات التعلم الآلي (الذكاء الاصطناعي)، وشبكات الحاسوب، ميزة إضافية.<br><br>يلتزم برنامج ECEN التزامًا تامًا بتوفير هيئة تدريس متنوعة ثفافيًا وأكاديميًا. تقع هذه الوظيفة في الدوحة ويجب على المرشح الناجح الانتقال إلى قطر.<br><br>جامعة تكساس إيه أند إم في قطر هي شراكة مع مؤسسة قطر. تأسست جامعة تكساس إيه أند إم في قطر عام 2003، وتقدم درجة البكالوريوس في العلوم في الهندسة الكيميائية، والهندسة الكهربائية وهندسة الحاسوب، والهندسة الميكانيكية، وهندسة البترول، بالإضافة إلى برنامج الماجستير في الهندسة الكيميائية. تستقطب جامعة تكساس إيه أند إم في قطر بعضًا من أفضل خريجي المدارس الثانوية في المنطقة. وتعتبر البرامج الدراسية مماثلة ماديًا لتلك الموجودة في الحرم الجامعي الرئيسي في كوليج ستيشن، تكساس. وتُمنح شهادات جامعة تكساس إيه أند إم للخريجين.<br><br>تعد الدوحة مقرًا للمدينة التعليمية (https://www.qf.org.qa/education/higher-education)، وهو حرم جامعي مخصص للبحوث والتعليم. بالإضافة إلى جامعة تكساس إيه أند إم في قطر، يستضيف حرم المدينة التعليمية مؤسسات أكاديمية أخرى، بما في ذلك وايل كورنيل للطب - قطر، وجامعة كارنيجي ميلون، وجامعة فيرجينيا كومونويلث، وجامعة نورثوسترن، وجامعة جورجتاون. كإحدى المؤسسات الدولية للتعليم العالي، ساهمت جامعة تكساس إيه أند إم في قطر وشركاؤها في المدينة التعليمية بشكل كبير في تطوير التعليم العالي والنمو الثقافي في قطر.<br><br>تستقطب جامعة تكساس إيه أند إم في قطر بعضًا من أفضل خريجي المدارس الثانوية في المنطقة. يضم برنامج ECEN (https://www.qatar.tamu.edu/programs/ecen/) 10 أعضاء في هيئة التدريس و7 موظفين. يمتلك أعضاء هيئة التدريس التزامًا قويًا بالتدريس والبحث والخدمة. يستفيد البرنامج من أحدث المرافق والأجهزة لدعم مهامه التعليمية والبحثية الرئيسية. أقام أعضاء هيئة التدريس في الهندسة الكهربائية وهندسة الحاسوب برامج تعليمية وبحثية قوية على قاعدة من التخصصات الهندسية الأساسية. هناك دعم كبير للبحوث في قطر من خلال أموال من الصندوق القطري لرعاية البحث العلمي والقطاع الصناعي.<br><br>تقدم جامعة تكساس إيه أند إم في قطر حزم رواتب تنافسية تتناسب مع الرتبة والخبرة. تشمل الحزمة السكن، وبدلات الإجازة السنوية للعودة إلى الوطن، وتعليم الأبناء، وبدل التنقل المحلي، والتأمين الطبي للموظف ومعيليه، بالإضافة إلى مصاريف الانتقال والعودة إلى الوطن المناسبة. كما يحق لأعضاء هيئة التدريس الحصول على أموال التطوير المهني لمساعدتهم في التدريس وتطوير المناهج الدراسية.<br><br>يجب أن يحمل المرشح درجة الدكتوراه في هندسة الحاسوب أو الهندسة الكهربائية وأن تكون الشهادة بحوزته بحلول تاريخ التوظيف. يُتوقع من المرشحين الناجحين أن يكون لديهم التزام قوي بالتميز في التدريس على مستوى البكالوريوس وتفانٍ قوي لتنفيذ الأنشطة الخدمية. يجب أن يمتلك المتقدمون مهارات برمجية صلبة (Python وC وC++‎ وJava وVHDL أو Verilog، إلخ) وأن يكونوا قادرين على تدريس Python وC وبرمجة الحاسوب وبنيته، وتصميم الأنظمة الرقمية، وبنية الحاسوب وتصميمه، وتصميم أنظمة المعالجات الدقيقة. الخبرة في PLAs وARM Cortex-M ومنصات المعالجات الدقيقة المدمجة وبنيات الحاسوب مطلوبة.<br><br>ستُعطى الأفضلية للمتقدمين المطلعين على نظام التعليم العالي الأمريكي، ممن لديهم خبرة ممتازة في هندسة الحاسوب والبرمجة وخبرة تدريسية متميزة في جامعات مرموقة.<br><br>يجب على المتقدمين تقديم المستندات التالية عبر Interfolio: خطاب تغطية، والسيرة الذاتية، وبيان شخصي يتضمن الفلسفة والخطط للتدريس والخدمة، ومعلومات الاتصال لأربعة مراجع سيرسلون خطابات عند الطلب. للحصول على الاعتبار الكامل، يجب تقديم الطلبات قبل الموعد النهائي ذي الأولوية وهو 1 يناير 2024. سيتم قبول الطلبات حتى يتم شغل الوظيفة. يجب تحميل جميع مواد الطلبات إلى Interfolio عبر apply.interfolio.com/126764<br><br>يجب توجيه الأسئلة المتعلقة بالوظيفة إلى رئيس لجنة البحث hussein.alnuweiri@qatar.tamu.edu<br><br><strong>بيان تكافؤ فرص العمل<br><br></strong>صاحب عمل يلتزم بتكافؤ الفرص/المحاربين القدامى/ذوي الإعاقة.

<strong>About Us<br><br></strong><strong>Base360.ai</strong> is the AI operating system for short-term rental businesses, helping property managers run their operations on autopilot.<br><br>Born out of The Flex, a short-term rental operator that scaled to an eight-figure business using its own software, Base360.ai is now launching as a standalone platform for short-term rental operators worldwide.<br><br>We bring reservations, guest communication, pricing, payments, cleaning, maintenance, and reporting into one platform—helping operators automate manual work, reduce costs, increase revenue, and scale their portfolios.<br><br>We're looking for an ambitious <strong>Senior Full-Stack Product Engineer</strong> who wants to turn real customer problems into intuitive, reliable software. You'll work closely with founders, designers, and operators to identify what matters, build solutions, and improve them based on how people use them.<br><br>If you enjoy owning the full journey from customer problem to shipped product—and you're excited by AI, automation, and short-term rentals—we want to meet you.<br><br>What You'll Build<br><br>As a Senior Full-Stack Product Engineer, you'll help shape and scale Base360.ai across the entire short-term rental lifecycle.<br><br>You'll build customer-facing features, operational dashboards, automation engines, AI-powered workflows, and integrations that help property managers grow without increasing their workload at the same rate.<br><br>Your work will connect what users see with the systems behind it—from a guest’s check-in experience to the workflows coordinating reservations, cleaning, payments, and owner reporting.<br><br>Your Mission<br><br>Understand Customer Problems<br><br>Work directly with property managers and internal teams to understand their workflows, identify friction, and decide which problems are worth solving.<br><br>Build Products End-to-End<br><br>Take features from idea and prototype through frontend, backend, integrations, testing, and deployment. Own the complete experience and how it performs in production.<br><br>Create Intuitive User Experiences<br><br>Work with designers to make complex short-term rental operations easy to manage. Build interfaces that help users complete tasks quickly and confidently.<br><br>Create Powerful Automations<br><br>Build event-driven workflows that eliminate repetitive work—from scheduling cleaning after a booking to sending check-in instructions and generating owner statements.<br><br>Develop AI-Powered Features<br><br>Use LLMs and AI agents to automate guest communication, triage maintenance requests, support pricing decisions, and help operators manage their portfolios more efficiently.<br><br>Connect the Ecosystem<br><br>Build reliable APIs and integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, OpenAI, Google, and other partners across the short-term rental ecosystem.<br><br>Solve Real Operational Problems<br><br><strong>Build Solutions For<br><br></strong><ul><li>Real-time reservation and availability synchronization</li><li>Dynamic pricing intelligence</li><li>Smart lock access and key management</li><li>Automated guest communication across channels</li><li>Guest check-in and upsell journeys</li><li>Operational forecasting</li><li>Cleaning and maintenance automation</li><li>Owner reporting and financial workflows</li><li>AI-powered monitoring and alerts<br><br></li></ul>Measure and Improve<br><br>Use customer feedback, product usage, and operational results to evaluate what you ship. Improve features based on adoption, time saved, fewer errors, and better user outcomes.<br><br>Build for Scale<br><br>Make sound technical decisions that balance delivery speed, maintainability, security, and reliability as more operators and properties join the platform.<br><br>Tech Stack<br><br>We care more about capability than specific technologies, but our current stack includes:<br><br><ul><li>Python</li><li>FastAPI</li><li>React</li><li>TypeScript</li><li>Supabase</li><li>PostgreSQL</li><li>AWS</li><li>Serverless architecture</li><li>OpenAI APIs</li><li>Twilio</li><li>Stripe</li><li>Docker</li><li>GitHub Actions<br><br></li></ul>You Might Be a Great Fit If You Have<br><br><ul><li>Strong experience building and shipping production software</li><li>The ability to work across frontend and backend systems</li><li>Experience with React, TypeScript, Python, FastAPI, or similar technologies</li><li>Strong understanding of APIs, databases, integrations, and cloud architecture</li><li>A product mindset and curiosity about why users need a feature</li><li>Good judgment around usability, scope, and technical trade-offs</li><li>The ability to turn an ambiguous problem into a practical, working solution</li><li>Confidence working directly with customers, designers, and founders</li><li>The ability to work independently and own outcomes</li><li>Curiosity about AI, automation, and operational efficiency</li><li>A bias toward shipping, learning, and iterating<br><br></li></ul><strong>Bonus Points For Experience With<br><br></strong><ul><li>Short-term rentals, hospitality technology, or property management systems</li><li>Multi-tenant SaaS platforms</li><li>Marketplace businesses and booking channel integrations</li><li>AI agents and workflow automation</li><li>Product analytics and experimentation</li><li>Event-driven architectures</li><li>Supabase</li><li>AWS serverless infrastructure<br><br></li></ul>What Success Looks Like<br><br><strong>Within Your First 12 Months<br><br></strong><ul><li>You've shipped features that property managers actively use</li><li>Core short-term rental workflows are automated through products you've built</li><li>Customers spend less time on manual administration and repetitive tasks</li><li>Complex workflows become easier to understand and complete</li><li>Integrations move reservations, availability, payments, and operational data reliably</li><li>AI-powered features become part of customers’ everyday operations</li><li>Customer feedback and usage data consistently inform your product decisions</li><li>Your work helps operators grow their portfolios, improve guest experiences, and operate more profitably<br><br></li></ul>Why Join Us<br><br>Build Something Meaningful<br><br>Solve problems experienced daily by short-term rental operators, with direct access to The Flex’s operations to test ideas and see their impact.<br><br>Own the Product Outcome<br><br>Help decide what to build, how it should work, and how to measure its success. Take responsibility for features from the first conversation through ongoing improvement.<br><br>Small Team, Massive Opportunity<br><br>Work closely with the founders and directly influence the product and technical direction of Base360.ai.<br><br>Learn Faster<br><br>Solve real-world challenges across product, software, AI, automation, hospitality operations, and scale.<br><br>Performance-Based Rewards<br><br>Competitive compensation with substantial upside for exceptional performers.<br><br>Remote-First<br><br>Work from anywhere. We care about outcomes, not hours.<br><br>This Role Is Not For You If<br><br><ul><li>You're looking for a slow-paced corporate environment</li><li>You want a narrowly defined role with limited customer or product involvement</li><li>You need detailed specifications before you can make progress</li><li>You avoid ownership and accountability</li><li>You consider a feature finished without checking whether it solves the user’s problem<br><br></li></ul>We're looking for someone who wants to help build the AI operating system for the short-term rental industry.<br><br>

<strong>About Us<br><br></strong><strong>Base360.ai</strong> is the AI operating system for short-term rental businesses, helping property managers run their operations on autopilot.<br><br>Born out of The Flex, a short-term rental operator that scaled to an eight-figure business using its own software, Base360.ai is now launching as a standalone platform for short-term rental operators worldwide.<br><br>We bring reservations, guest communication, pricing, payments, cleaning, maintenance, and reporting into one platform—helping operators automate manual work, reduce costs, increase revenue, and scale their portfolios.<br><br>We're looking for an ambitious <strong>Product Engineer</strong> who wants to turn real customer problems into intuitive, reliable software. You'll work closely with founders, designers, and operators to identify what matters, build solutions, and improve them based on how people use them.<br><br>If you enjoy owning the full journey from customer problem to shipped product—and you're excited by AI, automation, and short-term rentals—we want to meet you.<br><br>What You'll Build<br><br>As a Product Engineer, you'll help shape and scale Base360.ai across the entire short-term rental lifecycle.<br><br>You'll build customer-facing features, operational dashboards, automation engines, AI-powered workflows, and integrations that help property managers grow without increasing their workload at the same rate.<br><br>Your work will connect what users see with the systems behind it—from a guest’s check-in experience to the workflows coordinating reservations, cleaning, payments, and owner reporting.<br><br>Your Mission<br><br>Understand Customer Problems<br><br>Work directly with property managers and internal teams to understand their workflows, identify friction, and decide which problems are worth solving.<br><br>Build Products End-to-End<br><br>Take features from idea and prototype through frontend, backend, integrations, testing, and deployment. Own the complete experience and how it performs in production.<br><br>Create Intuitive User Experiences<br><br>Work with designers to make complex short-term rental operations easy to manage. Build interfaces that help users complete tasks quickly and confidently.<br><br>Create Powerful Automations<br><br>Build event-driven workflows that eliminate repetitive work—from scheduling cleaning after a booking to sending check-in instructions and generating owner statements.<br><br>Develop AI-Powered Features<br><br>Use LLMs and AI agents to automate guest communication, triage maintenance requests, support pricing decisions, and help operators manage their portfolios more efficiently.<br><br>Connect the Ecosystem<br><br>Build reliable APIs and integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, OpenAI, Google, and other partners across the short-term rental ecosystem.<br><br>Solve Real Operational Problems<br><br><strong>Build Solutions For<br><br></strong><ul><li>Real-time reservation and availability synchronization</li><li>Dynamic pricing intelligence</li><li>Smart lock access and key management</li><li>Automated guest communication across channels</li><li>Guest check-in and upsell journeys</li><li>Operational forecasting</li><li>Cleaning and maintenance automation</li><li>Owner reporting and financial workflows</li><li>AI-powered monitoring and alerts<br><br></li></ul>Measure and Improve<br><br>Use customer feedback, product usage, and operational results to evaluate what you ship. Improve features based on adoption, time saved, fewer errors, and better user outcomes.<br><br>Build for Scale<br><br>Make sound technical decisions that balance delivery speed, maintainability, security, and reliability as more operators and properties join the platform.<br><br>Tech Stack<br><br>We care more about capability than specific technologies, but our current stack includes:<br><br><ul><li>Python</li><li>FastAPI</li><li>React</li><li>TypeScript</li><li>Supabase</li><li>PostgreSQL</li><li>AWS</li><li>Serverless architecture</li><li>OpenAI APIs</li><li>Twilio</li><li>Stripe</li><li>Docker</li><li>GitHub Actions<br><br></li></ul>You Might Be a Great Fit If You Have<br><br><ul><li>Strong experience building and shipping production software</li><li>The ability to work across frontend and backend systems</li><li>Experience with React, TypeScript, Python, FastAPI, or similar technologies</li><li>Strong understanding of APIs, databases, integrations, and cloud architecture</li><li>A product mindset and curiosity about why users need a feature</li><li>Good judgment around usability, scope, and technical trade-offs</li><li>The ability to turn an ambiguous problem into a practical, working solution</li><li>Confidence working directly with customers, designers, and founders</li><li>The ability to work independently and own outcomes</li><li>Curiosity about AI, automation, and operational efficiency</li><li>A bias toward shipping, learning, and iterating<br><br></li></ul><strong>Bonus Points For Experience With<br><br></strong><ul><li>Short-term rentals, hospitality technology, or property management systems</li><li>Multi-tenant SaaS platforms</li><li>Marketplace businesses and booking channel integrations</li><li>AI agents and workflow automation</li><li>Product analytics and experimentation</li><li>Event-driven architectures</li><li>Supabase</li><li>AWS serverless infrastructure<br><br></li></ul>What Success Looks Like<br><br><strong>Within Your First 12 Months<br><br></strong><ul><li>You've shipped features that property managers actively use</li><li>Core short-term rental workflows are automated through products you've built</li><li>Customers spend less time on manual administration and repetitive tasks</li><li>Complex workflows become easier to understand and complete</li><li>Integrations move reservations, availability, payments, and operational data reliably</li><li>AI-powered features become part of customers’ everyday operations</li><li>Customer feedback and usage data consistently inform your product decisions</li><li>Your work helps operators grow their portfolios, improve guest experiences, and operate more profitably<br><br></li></ul>Why Join Us<br><br>Build Something Meaningful<br><br>Solve problems experienced daily by short-term rental operators, with direct access to The Flex’s operations to test ideas and see their impact.<br><br>Own the Product Outcome<br><br>Help decide what to build, how it should work, and how to measure its success. Take responsibility for features from the first conversation through ongoing improvement.<br><br>Small Team, Massive Opportunity<br><br>Work closely with the founders and directly influence the product and technical direction of Base360.ai.<br><br>Learn Faster<br><br>Solve real-world challenges across product, software, AI, automation, hospitality operations, and scale.<br><br>Performance-Based Rewards<br><br>Competitive compensation with substantial upside for exceptional performers.<br><br>Remote-First<br><br>Work from anywhere. We care about outcomes, not hours.<br><br>This Role Is Not For You If<br><br><ul><li>You're looking for a slow-paced corporate environment</li><li>You want a narrowly defined role with limited customer or product involvement</li><li>You need detailed specifications before you can make progress</li><li>You avoid ownership and accountability</li><li>You consider a feature finished without checking whether it solves the user’s problem<br><br></li></ul>We're looking for someone who wants to help build the AI operating system for the short-term rental industry.<br><br>

معلومات عامة<br><br><strong>رقم المرجع#</strong> 226755<br><br><strong>الموقع:</strong> قطر-الدوحة<br><br><strong>عائلة الوظيفة:</strong> الشؤون المؤسسية والتجارية<br><br><strong>تاريخ الإغلاق:</strong> 2026-10-20<br><br><strong>الوصف<br><br></strong><strong>دورك<br><br></strong>نحن نبحث عن مدير أول للمشاركة والتسليم التقني يتمتع بالخبرة والفاعلية والديناميكية للانضمام إلى فريقنا المبتكر. يركز هذا الدور على العمل كشريك تجاري في تخطيط خارطة طريق التكنولوجيا والإشراف على خارطة طريق المنتجات الرقمية من منظور تقديم تكنولوجيا المعلومات. وسيتمتع المرشح الناجح بسجل حافل ومثبت في إدارة مشاريع التكنولوجيا واسعة النطاق وتقديم حلول رقمية عالية الجودة.<br><br><strong>مسؤولياتك<br><br></strong><ul><li>التعاون مع قادة الأعمال والمديرين التنفيذيين وأصحاب المصلحة لفهم الأهداف والغايات الاستراتيجية، ومواءمة البنية التحتية للمؤسسة مع الاتجاه الاستراتيجي</li><li>العمل كشريك تجاري في وضع الاستراتيجيات وتخطيط خارطة طريق التكنولوجيا لمواءمتها مع أهداف المؤسسة.</li><li>تقييم والتوصية بالحلول التكنولوجية التي تتوافق مع أهداف وغايات الأعمال</li><li>الإشراف على خارطة طريق المنتجات الرقمية من منظور تقديم تكنولوجيا المعلومات، مع ضمان التوافق مع أهداف الأعمال. التأكد من أن خارطة الطريق قائمة على القيمة وليست مجرد مصنع للميزات، مع التركيز على تقديم حلول عالية التأثير تلبي احتياجات الشركة وعملائها</li><li>ضمان التمويل في الوقت المناسب لفرق Agile لدعم التسليم والتحسين المستمر.</li><li>تصميم وتطوير وصيانة البنية التحتية للمؤسسة، والتي تشمل الهيكل والعمليات والمعلومات والأصول التكنولوجية لخط الأعمال المعين</li><li>الإشراف على البنية التحتية العامة للمؤسسة لضمان القابلية للتوسع والكفاءة والتوافق مع أهداف الأعمال.</li><li>التحسين المستمر من خلال التحليل لتحديد مجالات التحسين تقديم التوجيه الاستراتيجي بشأن الاستثمارات التكنولوجية</li><li>إدارة العلاقات مع الموردين في المنظومة لضمان تقديم خدمات ومنتجات عالية الجودة. بالإضافة إلى المسؤولية عن رسم خارطة الطريق المستقبلية لمنتجات الموردين والعمل مع خطوط الأعمال المعينة لتضمينها في خارطة طريق التنفيذ</li><li>مراقبة مستويات الخدمة لضمان الأداء العالي والموثوقية للحلول الرقمية<br><br></li></ul><strong>كن جزءًا من قصة استثنائية<br><br></strong>مهاراتك. خيالك. طموحك. هنا، لا توجد حدود لإمكانياتك والأثر الذي يمكنك تركه. ستجد فرصًا لا حصر لها للنمو والعمل على أكبر التحديات وأكثرها إفادة والتي من شأنها أن تبني مهاراتك وخبراتك. لديك الفرصة لتكون جزءًا من مستقبلنا، وتبني الحياة التي تريدها بينما تكون جزءًا من مجتمع دولي.<br><br>أفضل ما لدينا موجود هنا وما زال القادم أفضل. بالنسبة لنا، المستحيل مجرد تحدٍ. انضم إلينا ونحن نتجرأ على تحقيق ما لم يتم القيام به من قبل. معًا، كل شيء ممكن<br><br>المؤهلات<br><br><strong>المؤهلات<br><br></strong><ul><li>الخبرة: خبرة لا تقل عن 10 سنوات في المشاركة والتسليم التقني، مع ما لا يقل عن 5 سنوات في دور إداري يركز على عمليات التسليم واسعة النطاق.</li><li>الخبرة الفنية: خلفية قوية في الحلول التكنولوجية، مع خبرة في ممارسات وأدوات التطوير الحديثة.</li><li>منهجيات Agile: خبرة واسعة في قيادة فرق Agile وإدارة المشاريع باستخدام أطر عمل Agile.</li><li>مهارات حل المشكلات: قدرات ممتازة في التحليل وحل المشكلات، مع التركيز على تقديم حلول عالية الجودة.</li><li>مهارات التواصل: مهارات تواصل لفظية وكتابية قوية، مع القدرة على نقل المفاهيم الفنية بفعالية إلى أصحاب المصلحة غير الفنيين.</li><li>التعليم: درجة البكالوريوس أو الماجستير في علوم الحاسوب، أو هندسة البرمجيات، أو في مجال ذات صلة.<br><br></li></ul><strong>المهارات المفضلة<br><br></strong><ul><li>خبرة في التقنيات والبنى التحتية القائمة على السحابة.</li><li>خبرة في تقديم الحلول الرقمية وحلول تجارة التجزئة الموجهة للمستهلكين (B2C)</li><li>معرفة بممارسات وأدوات DevOps.</li><li>إلمام ببنية الخدمات المصغرة (microservices) والحوسبة الحاوية (containerization).</li><li>إدارة وإشراك أصحاب المصلحة<br><br></li></ul><strong>نبذة عن مجموعة الخطوط الجوية القطرية<br><br></strong>بدأت قصتنا بأربع طائرات. واليوم، نقدم التميز عبر 12 شركة مختلفة تجتمع ككيان واحد. لقد نمونا بسرعة، وحطمنا الأرقام القياسية وأرسينا اتجاهات يتبعها الآخرون. نحن لا نتباطأ بسبب الخوف من الفشل. بدلاً من ذلك، نتجرأ على تحقيق ما لم يتم القيام به من قبل.<br><br>لذا، سواء كنت تبتكر تجربة فريدة لعملائنا أو تبتكر خلف الكواليس، فإن كل شخص يساهم في قصتنا التي نفخر بها. قصة نمو مذهل وإصرار. الآن هو الوقت المناسب لتقديم أفضل أفكارك وشغفك إلى مكان لا يعرف فيه طموحك حدودًا، وتكون جزءًا من مجتمع عالمي بحق<br><br>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=226755

ملخص الدور:<br>بصفتك استشاري حلول ما قبل البيع / مسؤولاً في وحدة أعمال تطوير وتحديث التطبيقات في شركة "معلوماتية" (Malomatia)، ستلعب دوراً محورياً في صياغة وتقديم حلول برمجية مخصصة لعملاء القطاع الحكومي والمؤسسات. ستعمل كمستشار تقني واستراتيجي للحلول، حيث ستتعاون بشكل وثيق مع العملاء وفرق المبيعات والتسليم والهندسة لتصميم تطبيقات مخصصة قابلة للتوسع وآمنة ومستعدة للمستقبل.<br>يتطلب هذا الدور فهماً عميقاً لممارسات تطوير البرمجيات الحديثة، وتحويل الأنظمة القديمة، وتقديم الحلول التي تركز على العميل. بدءاً من استخلاص المتطلبات وإعداد مخططات الحلول، وصولاً إلى بناء مقترحات مقنعة وقيادة العروض التوضيحية التقنية، ستساعد في تعزيز مكانة "معلوماتية" كشريك موثوق في تقديم حلول رقمية ذات تأثير عالٍ.<br>مواصفات الوظيفة:<br>متحدث باللغة العربية.<br>• خبرة لا تقل عن 5 سنوات في أدوار ما قبل البيع التقني، أو استشارات الحلول، أو هندسة النظم، ويفضل أن تكون في شركة تكامل أنظمة أو مزود خدمات مؤسسية.<br>• درجة البكالوريوس في علوم الحاسب، أو هندسة البرمجيات، أو مجال ذي صلة.<br>• خبرة قوية في تصميم وتسليم التطبيقات المخصصة، بما في ذلك واحد أو أكثر مما يلي:<br>o إطارات العمل القائمة على Java أو .NET أو Python.<br>o منصات التطوير منخفضة الكود (Low-code).<br>o التطبيقات السحابية الأصلية (Cloud-native) على Azure أو AWS أو GCP.<br>• اختياري: خبرة عملية سابقة في تنفيذ حلول البيانات والذكاء الاصطناعي، بما في ذلك الخبرة العملية في استخدام Microsoft Azure Data & AI، وCopilot، وOpen AI.<br>• خبرة في تحديث الأنظمة القديمة، بما في ذلك إعادة بناء الأنظمة، أو النقل إلى الحاويات (Containerization)، أو تمكين واجهات برمجة التطبيقات (API).<br>• فهم التكامل المؤسسي، وتنظيم سير العمل، واعتبارات الأمن في تصميم التطبيقات.<br>• القدرة المثبتة على إنشاء العروض التقديمية التقنية، ومخططات هندسة الحلول، وبيئات إثبات المفهوم (PoC)، ووثائق المقترحات.<br>• خبرة سابقة في التسليم المرن (Agile)، وممارسات Dev Ops، وهندسات التطبيقات متعددة الطبقات.<br>• مهارات تواصل كتابية ولفظية استثنائية، مع إتقان تام للغتين العربية والإنجليزية.<br>الأدوار والمسؤوليات:<br>• نبحث عن استشاري حلول ما قبل البيع يتمتع بالتحفيز والمهارة العالية للانضمام إلى وحدة أعمال تطوير وتحديث التطبيقات لدينا.<br>• سيعمل هذا الفرد كمستشار موثوق للعملاء وأصحاب المصلحة الداخليين، حيث سيجلب معرفة عميقة بتطوير البرمجيات المخصصة، وتحديث التطبيقات القديمة، وتصميم التطبيقات السحابية الأصلية، وتطوير تطبيقات الهاتف المحمول، والمنصات منخفضة الكود/بدون كود.<br>• سيتولى المرشح المثالي دورة حياة ما قبل البيع بالكامل، بما في ذلك جلسات الاستكشاف، وتصميم الحلول، والعروض التقديمية التقنية، والمقترحات، والتعاون مع فرق التسليم والمبيعات.<br>• ستدعم الفرص عبر عملاء القطاع الحكومي والمؤسسات، وتساهم في صياغة وتأهيل الفرص والتعاون مع فريق المبيعات في مجالات تطوير وتحديث التطبيقات المخصصة.<br>• التفاعل مع أصحاب المصلحة في الأعمال والتقنية لاستخلاص المتطلبات، ونقاط الألم، واحتياجات التحول.<br>• ترجمة متطلبات العملاء إلى تصميمات حلول ومقترحات تقنية رفيعة المستوى، تتماشى مع أفضل الممارسات في الهندسة وقابلية التوسع والأداء.<br>• قيادة المناقشات التقنية وتقديم عروض حلول مقنعة، واستعراضات للهندسة، وإثباتات المفهوم (PoCs).<br>• الرد على الأقسام التقنية في استفسارات المعلومات (RFIs) وطلبات تقديم العروض (RFPs) ومصفوفات الامتثال، وتطوير مقترحات مخصصة وعروض قيمة.<br>• صياغة ومراجعة بيانات العمل (SOWs) وجداول الكميات (BOQs) للتطبيقات المخصصة وخدمات التحديث.<br>• المساهمة في استراتيجية العطاءات، وإنشاء المقترحات، ومدخلات التسعير، وتنسيق الشركاء عند الحاجة.<br>• الحفاظ على وعي عميق باتجاهات الصناعة، والأدوات، ونماذج التسليم (مثل الخدمات المصغرة Microservices، وDev Ops، وCI/CD، وAPI-first، والسحابة الأصلية، والذكاء الاصطناعي (AI)، والمنصات منخفضة الكود مثل Power Platform).<br>• دعم استراتيجيات الوصول إلى السوق (Go-to-market)، وكتيبات التشغيل، وجهود التمكين لعروض تطوير التطبيقات.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span>Provide advanced diagnostics at system, application, and infrastructure levels.</span><br></p><br><p><span>•</span><span> Perform root-cause analysis for major and recurring incidents and implement permanent fixes.</span><br></p><br><p><span>•</span><span> Manage OEM back-to-back support cases within the applicable ticketing and SLA framework.</span><br></p><br><p><span>•</span><span> Manage system configurations, firmware, software maintenance, manufacturer releases, and upgrades.</span><br></p><br><p><span>•</span><span> Maintain technical design documents, SOPs, and knowledge-base information.</span><br></p><br><p><span>•</span><span> Provide technical assessments to the Change Advisory Board for system changes.</span><br></p><br><p><span>•</span><span> Maintain IPTV encoders, servers, endpoints, displays/signage, and related infrastructure.</span><br></p><br><p><span>•</span><span> Maintain master-clock distribution systems and ensure accurate synchronization across connected systems.</span><br></p><br><br><span>Requirements</span><p><span>*</span><b><b>Minimum 4 years</b></b><span>*</span><span> of hands-on experience with relevant systems in a comparable environment.</span><br></p><br><p><span>•</span><span>*</span><b><b>VITEC and Mobatime product training, or equivalent.</b></b><span>*</span><br></p><br><p><span>•</span><span> Strong experience with IPTV, AV systems, and time-distribution/master-clock systems.</span><br></p><br><p><span>•</span><span> ITIL Foundation certification.</span><br></p><br><p><span>•</span><span> Strong knowledge of IPTV distribution architecture, encoders, servers, endpoints, and signage systems.</span><br></p><br><p><span>•</span><span> Knowledge of master/slave clock distribution and synchronization and strong diagnostic and root-cause-analysis skills.</span><br></p><br><p><span>•</span><span> Experience coordinating with OEMs and managing escalations.</span><br></p><br><p><span>•</span><span> Strong documentation and technical mentoring capability.</span><br></p><br><br> </div>

<p>نحن حالياً نبحث عن مدير نظام لينوكس لعملياتنا في قطر. خبرة عملية عميقة قوية في تنفيذ PAM / PIM وتجربة فهم مستوى SOC للاكتشاف والاستجابة لهجمات الهوية ومهارات تحليل الأسباب الجذرية والتصحيحية الممتازة ومهارات الاتصال الكتابي والشفهي. تثبيت ومراقبة وصيانة أنظمة وخوادم رئيسية وتطبيقات لأنظمة لينوكس. مدير نظام معتمد من Red Hat. معرفة عملية قوية بخطة OpenShift من Red Hat وهندساتها ونماذج النشر، وعمليات اليوم الثاني بما في ذلك استضافة التطبيقات المحتواة داخل حاويات، والتوسع، وإدارة دورة الحياة. تكامل SOC وهندسة الكشف العمل عن كثب مع فرق SOC في التهديدات المتصلة بالهوية تحديد وتحسين حالات اكتشاف الهوية دمج قياسات الهوية مع منصات SIEM / SOAR ضبط التنبيهات لتقليل الإيجابيات الكاذبة وتحسين جودة الإشارة بناء وصيانة أدلة استجابة الحوادث الخاصة بالهوية دعم التحقيقات في الحسابات المخترقة وإساءة الامتياز تقوية الأنظمة والتقييمات والتحسين المستمر تحديد تحولات الإعدادات والدين الفني والدفع نحو تقليل المخاطر وإعادة التخطيط وتوجيه مبادرات تحسين أمن الهوية المستمر الحوكمة والمخاطر والامتثال ضمان بأن تتحقق ضوابط الهوية من معايير الأمن الداخلية والمتطلبات التنظيمية دعم التدقيق وتقييمات المخاطر المتعلقة بالهوية والوصول توفير أدلة وموارد وثائق ومبررات تقنية المشاركة في لجان التصميم ومراجعات الأمن. التوثيق ونقل المعرفة إنتاج توثيق واضح جاهز للمراجعة: مخططات هندسة الهوية معايير الأمن والمرجعيات التنظيمية إجراءات تشغيلية وأدلة تشغيل حوادث وتوفير نقل معرفة وإرشاد للفرق الداخلية. إطار الانضمام: أسبوعان (حد أقصى شهر واحد)

Job description:<br><br>Our business landscape We’re an award-winning global communications company operating in nine countries across the Middle East, North Africa, and Southeast Asia. Our strategy is to become the region’s leading digital infrastructure provider. Ooredoo Group’s strategic vision is guided by five key pillars:<br><br> Value-Focused Portfolio: <br>Boosting asset returns by focusing on telco operations, towers, data centres, the sea <br>cable business and fintech. Strengthen the Core: <br>Optimally using deployed capital and <br>maintain an appropriate cost structure. Evolve the Core: <br>Monetising opportunities to generate new revenue streams via programmes focusing <br>on analytics, digitalisation of operations, and partnerships with digital service providers. People: <br>Building an engaged and empowered workforce through integrated learning programs and coaching and mentoring. Excellence in Customer Experience: <br>Creating superior customer experiences.<br><br> From day one, every employee who joins our team becomes an integral part of our success journey. <br>We offer you the chance to enhance your skills, advance your career, and maintain a healthy work-<br>life balance. Empowering you to catapult your personal and professional growth. If you’re looking <br>to challenge your growth potential, Ooredoo is the employer for you. Job overview This role plays a key role in supporting digital procurement operations across the Group. The analyst is responsible for driving the data driven decision making across Ooredoo Group’s sourcing and procurement eco-system. The role will lead the design, development, and continuous enhancement of reporting, dashboards, and analytics across key procurement domains including sourcing, procurement operations, spend analytics, supplier management, and contract management. In addition, the role will act as Level 1 (L1) functional support for sourcing systems (including Ariba and i Certis) in Ooredoo Group, ensuring smooth system usage, provides training to end users, and delivers high-quality data for category managers to support in decision making The Senior Analyst will bridge business and technology by transforming procurement data into actionable insights that improve efficiency, compliance, cost optimization, and supplier performance. Your impact on our goals Responsible for leading operational excellence across the Group in the areas of:NOC (Network Operations Center), SOC (Security Operations Center), FLM (Field Maintenance), Tools (OSS, monitoring, assurance platforms, CEM), Operational efficiency and performance management activities, Services (such as Roaming) Drive & support the evaluation, deployment, and management of current and future Operations and Managed Services Technology strategies Drive & support the development of Group-level Operations and Managed Services - Technology roadmaps, architectures and best practices ensuring alignment with Group strategic vision Enforce Group-wide operational frameworks, architecture standards, and governance models with a close collaboration and alignment with all OG technology functions, but also with strategy and business departments to ensure consistency and positive impact. Co-ordinate with Group Strategic Sourcing for driving synergies, evaluation of bids, and selecting vendors; provide technical expertise. Contribute to relevant expert groups & drive centers of excellence in the defined area of responsibility, while actively contributing to other domains when needed (Engineering, IT, …) Oversee alignment of OpCo projects and vendor engagements with Group models Participate in reviewing OpCos’ strategic plans and budgets as a technical expert (participate in development also if requested) Support OpCos in resolving Operations and Managed Services Technology related issues, as required, and as per the defined framework for Group involvement in the OpCos Support in M&A technology due diligence Participate in the formulation of strategic and operational governance processes of Group Technology as a member of the senior management team. Standardize network operations, performance management tools and processes Promote knowledge sharing and cross-OpCo collaboration. When needed/Requested, evaluate the efficiency of OpCo-related organizational structures and provide actionable recommendations to the leadership team Define and govern the managed services model across OpCos, and promote effective knowledge sharing and cross-OpCo collaboration Ensure continuous and effective vendors performance reviews and lead contract transitions, scope extensions, or renegotiations Ensure alignment with Ooredoo procurement, finance, commercial, strategy, customer experience functions Team dynamics Internal Group Heads and peers in Group Technology, Group Finance, Group Consumer and Group Strategy functions. Assigned OPCOs CTOs and Heads and Peers in Technology in the OPCOs. External Vendors: Key account Managers, Vendor Technical interface. Your profile Experience >15 years’ experience directly related to the duties and responsibilities specified Previously held any of the following positions or similar as head at a major telecommunications operating company, in: NW Service assurance, NW SOC or Performance. Network Operations International experience Experience in Ooredoo Group OPCOs is a plus. In-depth working knowledge of RAN, Tx, Core Networks and Service Delivery is mandatory Six Sigma, ETIL and any similar certifications are a good plus. Good IT network background Extensive hands-on experience in the planning, design and implementation and operating systems in mobile networks Vast knowledge of key mobile telecom NW systems, platforms, and technologies, including hardware and software components Strong knowledge of Telecom infrastructure technologies and end-to-end planning practices, implementation methods and cost optimization strategies, with a specialty in NW domains (RAN, Tx, CORE) Knowledge and experience in systems integration techniques, system engineering, systems management, Current working experience with NW Technology products (Planning and Performance) from group frame vendors very desirable. Proven ability to translate commercial/marketing needs into technology targets, ability to guide marketing through that process, and contribute to strategy formulation Qualifications Engineering Degree or equivalent. Industry training in RAN, Tx, core network platform technologies preferred International experience, preferably in the MENA or Asia regions. Must-have skills Technical Technology Strategy - Advanced Technology Performance Management - Advanced Change Management - Advanced Analytical Thinking - Advanced Behavioural Networking & Influencing Collaboratively - Advanced Delivering Results & Fostering Ownership - Advanced Building Customer Value - Advanced Leading Teams - Advanced Driving Change - Advanced Shaping Strategy - Advanced

Job description:<br><br>Our business landscape We’re an award-winning global communications company operating in nine countries across the Middle East, North Africa, and Southeast Asia. Our strategy is to become the region’s leading digital infrastructure provider. Ooredoo Group’s strategic vision is guided by five key pillars:<br><br> Value-Focused Portfolio: <br>Boosting asset returns by focusing on telco operations, towers, data centres, the sea <br>cable business and fintech. Strengthen the Core: <br>Optimally using deployed capital and <br>maintain an appropriate cost structure. Evolve the Core: <br>Monetising opportunities to generate new revenue streams via programmes focusing <br>on analytics, digitalisation of operations, and partnerships with digital service providers. People: <br>Building an engaged and empowered workforce through integrated learning programs and coaching and mentoring. Excellence in Customer Experience: <br>Creating superior customer experiences.<br><br> From day one, every employee who joins our team becomes an integral part of our success journey. <br>We offer you the chance to enhance your skills, advance your career, and maintain a healthy work-<br>life balance. Empowering you to catapult your personal and professional growth. If you’re looking <br>to challenge your growth potential, Ooredoo is the employer for you. Job overview This role plays a key role in supporting digital procurement operations across the Group. The analyst is responsible for driving the data driven decision making across Ooredoo Group’s sourcing and procurement eco-system. The role will lead the design, development, and continuous enhancement of reporting, dashboards, and analytics across key procurement domains including sourcing, procurement operations, spend analytics, supplier management, and contract management. In addition, the role will act as Level 1 (L1) functional support for sourcing systems (including Ariba and i Certis) in Ooredoo Group, ensuring smooth system usage, provides training to end users, and delivers high-quality data for category managers to support in decision making The Senior Analyst will bridge business and technology by transforming procurement data into actionable insights that improve efficiency, compliance, cost optimization, and supplier performance. Your impact on our goals Responsible for leading operational excellence across the Group in the areas of:NOC (Network Operations Center), SOC (Security Operations Center), FLM (Field Maintenance), Tools (OSS, monitoring, assurance platforms, CEM), Operational efficiency and performance management activities, Services (such as Roaming) Drive & support the evaluation, deployment, and management of current and future Operations and Managed Services Technology strategies Drive & support the development of Group-level Operations and Managed Services - Technology roadmaps, architectures and best practices ensuring alignment with Group strategic vision Enforce Group-wide operational frameworks, architecture standards, and governance models with a close collaboration and alignment with all OG technology functions, but also with strategy and business departments to ensure consistency and positive impact. Co-ordinate with Group Strategic Sourcing for driving synergies, evaluation of bids, and selecting vendors; provide technical expertise. Contribute to relevant expert groups & drive centers of excellence in the defined area of responsibility, while actively contributing to other domains when needed (Engineering, IT, …) Oversee alignment of OpCo projects and vendor engagements with Group models Participate in reviewing OpCos’ strategic plans and budgets as a technical expert (participate in development also if requested) Support OpCos in resolving Operations and Managed Services Technology related issues, as required, and as per the defined framework for Group involvement in the OpCos Support in M&A technology due diligence Participate in the formulation of strategic and operational governance processes of Group Technology as a member of the senior management team. Standardize network operations, performance management tools and processes Promote knowledge sharing and cross-OpCo collaboration. When needed/Requested, evaluate the efficiency of OpCo-related organizational structures and provide actionable recommendations to the leadership team Define and govern the managed services model across OpCos, and promote effective knowledge sharing and cross-OpCo collaboration Ensure continuous and effective vendors performance reviews and lead contract transitions, scope extensions, or renegotiations Ensure alignment with Ooredoo procurement, finance, commercial, strategy, customer experience functions Team dynamics Internal Group Heads and peers in Group Technology, Group Finance, Group Consumer and Group Strategy functions. Assigned OPCOs CTOs and Heads and Peers in Technology in the OPCOs. External Vendors: Key account Managers, Vendor Technical interface. Your profile Experience >15 years’ experience directly related to the duties and responsibilities specified Previously held any of the following positions or similar as head at a major telecommunications operating company, in: NW Service assurance, NW SOC or Performance. Network Operations International experience Experience in Ooredoo Group OPCOs is a plus. In-depth working knowledge of RAN, Tx, Core Networks and Service Delivery is mandatory Six Sigma, ETIL and any similar certifications are a good plus. Good IT network background Extensive hands-on experience in the planning, design and implementation and operating systems in mobile networks Vast knowledge of key mobile telecom NW systems, platforms, and technologies, including hardware and software components Strong knowledge of Telecom infrastructure technologies and end-to-end planning practices, implementation methods and cost optimization strategies, with a specialty in NW domains (RAN, Tx, CORE) Knowledge and experience in systems integration techniques, system engineering, systems management, Current working experience with NW Technology products (Planning and Performance) from group frame vendors very desirable. Proven ability to translate commercial/marketing needs into technology targets, ability to guide marketing through that process, and contribute to strategy formulation Qualifications Engineering Degree or equivalent. Industry training in RAN, Tx, core network platform technologies preferred International experience, preferably in the MENA or Asia regions. Must-have skills Technical Technology Strategy - Advanced Technology Performance Management - Advanced Change Management - Advanced Analytical Thinking - Advanced Behavioural Networking & Influencing Collaboratively - Advanced Delivering Results & Fostering Ownership - Advanced Building Customer Value - Advanced Leading Teams - Advanced Driving Change - Advanced Shaping Strategy - Advanced

<p>نحن حالياً نبحث عن مسؤول OpenShift لعملياتنا في قطر بالشروط والأحكام التالية.</p><p>المهارات</p><ul><li>Red Hat OpenShift</li><li>IBM App connect.</li><li>IBM API connect.</li><li>IBM MQ</li><li>IBM data power gateway</li></ul><p>تبسيط وتحسين التطبيقات لـ OpenShift.</p><p>يُفَضَّل التميز في إدارة النظام والرصد والتحديثات والنشر والتثبيت، وتقييم السعة وحل المشكلات.</p><p>سيكون تعزيز الهندسة إضافة مطلوبة.</p><p>الإطار الزمني للانضمام: أسبوعان (حد أقصى شهر واحد)</p>

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - To assist customers in all their queries on Bank’s product and seek solution to their requests. - Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - To assist customers in all their queries on Bank’s product and seek solution to their requests. - Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - To assist customers in all their queries on Bank’s product and seek solution to their requests. - Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - To assist customers in all their queries on Bank’s product and seek solution to their requests. - Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

<strong>المسمى الوظيفي: </strong>استشاري إدارة الأنظمة - عمليات تقنية المعلومات (فريق الأنظمة)<br><br><strong>نظرة عامة على الدور الوظيفي<br><br></strong>بصفته محلل أنظمة يعمل في قسم عمليات تقنية المعلومات، سيلعب شاغل الوظيفة دورًا رئيسيًا في إدارة ودعم الخدمات التي يديرها فريق عمليات الأنظمة للحفاظ على عمليات فعالة وموثوقة. وسوف يساهم شاغل الوظيفة كنقطة تصعيد من المستوى الثاني (Tier 2) لخدمات الهوية والمراسلات والتعاون والوصول عن بُعد وإدارة الأجهزة وأمان النقاط الطرفية المتعلقة بالافتراضية (Virtualization)، واستبدال الأجهزة، وترقيات الأنظمة، ونقل الأنظمة؛ والعمل على تشخيص الحوادث المعقدة المحالة من المستوى الأول (Tier 1)، وإجراء تحليل الأسباب الجذرية (RCA)، وتطبيق إصلاحات دائمة، وتدريب موظفي الخط الأمني الأول لحل البلاغ التالي عند الاتصال الأول.<br><br><strong>المسؤوليات الرئيسية<br><br></strong><ul><li>نشر واستكشاف أخطاء كائنات سياسة المجموعة (GPOs) في Active Directory وإصلاحها</li><li>إضافة/إزالة سجلات DNS، وحجوزات DHCP، والشهادات بناءً على طلبات موظفي تقنية المعلومات الآخرين</li><li>استكشاف أخطاء المزامنة وإصلاحها في Entra ID أو FIM</li><li>استكشاف أخطاء عمليات النشر الفاشلة وإصلاحها في Configuration Manager</li><li>نشر تحديثات DAT/المحرك عبر ePO؛ وتقييم وإدارة حوادث الأداء المتعلقة بالسياسات أو ملفات DAT</li><li>صيانة سياسات منع تسريب البيانات (DLP) وإضافة المتطلبات الجديدة إلى القائمة البيضاء</li><li>تتبع الحالات الشاذة في تدفق البريد الإلكتروني باستخدام تعقب الرسائل (Message Trace)</li><li>استكشاف أخطاء الانضمام إلى اجتماعات Teams/Webex أو مشكلات جودة الوسائط وإصلاحها من خلال تحليل CQD وتحليلات المكالمات.</li><li>التحقق من بيانات OneDrive المكررة في مكتبة الاحتفاظ بالمستندات (Preservation Hold Library)</li><li>عزل أعطال بدء الجلسات عن طريق مراجعة سجلات Citrix Director وStudio</li><li>الاستجابة للحوادث المتعلقة بأعطال بروتوكول سطح المكتب عن بعد (RDP)</li><li>تتبع وتنسيق إدارة التحديثات والتصحيحات لجميع أنظمة Windows</li><li>العمل كمدير لقائمة انتظار الحوادث/الطلبات/المهام</li><li>تحديد التحسينات المحتملة للعمليات</li><li>صيانة التوثيق المتعلق بالبنية التحتية والتكوين<br><br></li></ul><strong>المؤهلات<br><br></strong><ul><li>درجة البكالوريوس في علوم الحاسوب، أو تقنية المعلومات، أو الهندسة، أو نظم المعلومات</li><li>الخبرة: أكثر من 5 سنوات في إدارة أنظمة Windows للمؤسسات مع سنتين على الأقل في التعامل مع تصعيدات المستوى 2/3.<br><br></li></ul><strong>الخبرة<br><br></strong><strong>المهارات التقنية: <br><br></strong><ul><li>خبرة مثبتة في إدارة Active Directory وHybrid Entra ID والخدمات الأساسية لـ DNS/DHCP.</li><li>خبرة عملية في Intune / System Center Configuration Manager (SCCM)</li><li>فهم قوي لبنية وتبعية Exchange Online وTeams/Webex وOneDrive.</li><li>عمليات Citrix Virtual Apps &amp; Desktops (مثل Studio وDirector وWorkspace) وWindows RDS.</li><li>معرفة عملية بـ Trellix ENS/DLP والقائمة البيضاء للتطبيقات</li><li>كتابة البرامج النصية: إتقان PowerShell (الدوال، الوحدات، استدعاءات REST/Graph).</li><li>تقنيات الافتراضية (Virtualization)</li><li>الشهادات (يوصى بها): مسؤول الهوية وإدارة الوصول من Microsoft (SC-300)، MCSA/MCSE، Citrix CC-VAD، وتأسيسي ITIL v4.<br><br></li></ul><strong>مهارات الأعمال<br><br></strong><ul><li>إتقان اللغة الإنجليزية كتابة وتحدثًا.</li><li>مهارات قوية في التحليل وحل المشكلات</li><li>خبرة تقنية متخصصة ومعرفة أوسع بتقنية المعلومات</li><li>الالتزام بمبادئ إدارة المخاطر والأمن واستمرارية الأعمال<br><br></li></ul>المهارات: dlp,ens,active directory,rdp,escalations,configuration manager,dhcp,rest,windows rds,hybrid entra id,dns,studio

<h2 class="h5">وصف الوظيفة</h2> <div class="t-break" data-jb-field="description"> وصف الوظيفة<br><p>نحن نبحث حالياً عن مسؤول OpenShift لعملياتنا في قطر بالشروط والأحكام التالية.</p><br><p>المهارات</p><br><p>• Red Hat OpenShift</p><br><p>• IBM App connect.</p><br><p>• IBM API connect.</p><br><p>• IBM MQ</p><br><p>• IBM data power gateway</p><br><p>• تبسيط وتحسين التطبيقات لـ OpenShift.</p><br><p>• يجب أن تتميز في إدارة النظام والمراقبة والتحديث والتوزيع والتركيب وتحديد السعة وحل المشكلات.</p><br><p>• سيكون تعزيز الهندسة إضافة إيجابية.</p><br><p>إطار الانضمام: أسبوعان (حد أقصى شهر واحد)</p><br><br><br> </div>

Senior Full Stack Developer (Contractor)<br><br>Primary Purpose Of The Job<br><br>Design and build efficient and innovative software solutions and interfaces that integrate with the company's existing IT architecture to enable business growth and risk control through automation.<br><br>Key Responsibilities<br><br>Work with traders, risk & finance managers, system architects, business analysts, project managers and other ICT departments to develop efficient and scalable systems, applications, interfaces and tools from scratch, and enable company business growth through a high level of automation and process optimisation. Build and maintain software solutions that fully integrate with the existing third party and in-house platforms in accordance with the company's overall IT architecture design. Provide timely technical support to in-house trading solutions to ensure business continuity. Work with internal IT developers and solution architects to gather technical requirements; design solutions; and build automated tests following the defined coding standards and best practices to ensure the delivery of IT solutions meets the business requirements, are scalable and supportable. Stay updated with the latest technology and tools, find innovative solutions, conduct POCs, and document and share knowledge & practices to help the company gain a sustainable and competitive advantage in the market. Apply security measures by following security procedures and standards to ensure a secure environment; manage and address trading systems vulnerabilities and threats; and adhere to established standards, processes, procedures, and policies throughout the software development life cycle.<br><br>Education<br><br>Bachelor’s degree in computer science, engineering or a related field.<br><br>Experience & Skills<br><br>Software Development Experience<br><br>Minimum 8 years of experience designing, developing and implementing multitier software solutions using C#, Angular JS, . Net within a commodity trading, banking or hedge fund environment. Minimum 3 years of experience developing, deploying, and maintaining systems on Azure, with expertise in Azure services (Azure Active Directory, Azure Functions, Azure Service Bus, Azure App Services, Azure Storage, Azure SQL, Azure Cosmos DB, etc.) and the implementation practices.<br><br>Backend Development<br><br>Experience in backend API development using C#. In-depth knowledge of RESTful and Graph QL web services.<br><br>Frontend Development<br><br>Experience on frontend SPA development using Angular.<br><br>Dev Ops & Cloud Technologies<br><br>Hands on experience with CI/CD tooling, including platforms such as Azure Dev Ops and Git Hub. Experience using infrastructure-as-code tools such as Bicep or Terraform. Knowledge and experience in the implementation and maintenance of cloud solutions using Azure Dev Ops and other cloud technologies (e.g. Microsoft Azure Data Factory, Data Bricks) and building reporting capabilities is preferred.<br><br>Database & Architecture<br><br>Extensive experience in writing efficient SQL and relevant experience with database design. Understanding of microservices architecture. Understanding of microfrontend is preferred.<br><br>Trading & Industry Knowledge<br><br>Good understanding of straight-through-processing (STP) requirements and FIX protocol is preferred. Experience working with any CTRM/ETRM system is preferred.<br><br>Additional Technical Skills<br><br>Ability to perform full SDLC activities using Agile methods, including requirement definition, prototyping, proof of concept, design, implementation, testing and maintenance. Proficiency in Python is a plus.<br><br>Personal & Communication Skills<br><br>Excellent written and verbal communications skills. Self-reliance and self-sufficiency; willingness to help build a business from the ground upwards in a phased manner but with quick short-term solutions essential for success. Strong delivery focus is critical.

Senior Full Stack Developer (Contractor)<br><br>Primary Purpose Of The Job<br><br>Design and build efficient and innovative software solutions and interfaces that integrate with the company's existing IT architecture to enable business growth and risk control through automation.<br><br>Key Responsibilities<br><br>Work with traders, risk & finance managers, system architects, business analysts, project managers and other ICT departments to develop efficient and scalable systems, applications, interfaces and tools from scratch, and enable company business growth through a high level of automation and process optimisation. Build and maintain software solutions that fully integrate with the existing third party and in-house platforms in accordance with the company's overall IT architecture design. Provide timely technical support to in-house trading solutions to ensure business continuity. Work with internal IT developers and solution architects to gather technical requirements; design solutions; and build automated tests following the defined coding standards and best practices to ensure the delivery of IT solutions meets the business requirements, are scalable and supportable. Stay updated with the latest technology and tools, find innovative solutions, conduct POCs, and document and share knowledge & practices to help the company gain a sustainable and competitive advantage in the market. Apply security measures by following security procedures and standards to ensure a secure environment; manage and address trading systems vulnerabilities and threats; and adhere to established standards, processes, procedures, and policies throughout the software development life cycle.<br><br>Education<br><br>Bachelor’s degree in computer science, engineering or a related field.<br><br>Experience & Skills<br><br>Software Development Experience<br><br>Minimum 8 years of experience designing, developing and implementing multitier software solutions using C#, Angular JS, . Net within a commodity trading, banking or hedge fund environment. Minimum 3 years of experience developing, deploying, and maintaining systems on Azure, with expertise in Azure services (Azure Active Directory, Azure Functions, Azure Service Bus, Azure App Services, Azure Storage, Azure SQL, Azure Cosmos DB, etc.) and the implementation practices.<br><br>Backend Development<br><br>Experience in backend API development using C#. In-depth knowledge of RESTful and Graph QL web services.<br><br>Frontend Development<br><br>Experience on frontend SPA development using Angular.<br><br>Dev Ops & Cloud Technologies<br><br>Hands on experience with CI/CD tooling, including platforms such as Azure Dev Ops and Git Hub. Experience using infrastructure-as-code tools such as Bicep or Terraform. Knowledge and experience in the implementation and maintenance of cloud solutions using Azure Dev Ops and other cloud technologies (e.g. Microsoft Azure Data Factory, Data Bricks) and building reporting capabilities is preferred.<br><br>Database & Architecture<br><br>Extensive experience in writing efficient SQL and relevant experience with database design. Understanding of microservices architecture. Understanding of microfrontend is preferred.<br><br>Trading & Industry Knowledge<br><br>Good understanding of straight-through-processing (STP) requirements and FIX protocol is preferred. Experience working with any CTRM/ETRM system is preferred.<br><br>Additional Technical Skills<br><br>Ability to perform full SDLC activities using Agile methods, including requirement definition, prototyping, proof of concept, design, implementation, testing and maintenance. Proficiency in Python is a plus.<br><br>Personal & Communication Skills<br><br>Excellent written and verbal communications skills. Self-reliance and self-sufficiency; willingness to help build a business from the ground upwards in a phased manner but with quick short-term solutions essential for success. Strong delivery focus is critical.

Position Summary:The Lead Data Engineer is responsible for leading the design, development, implementation, and optimization of scalable cloud-based data platforms and engineering solutions that enable analytics, business intelligence, and data-driven decision-making across Group Digital. The role provides technical leadership, establishes engineering best practices, ensures the delivery of secure and high-performance data solutions, and supports the continuous evolution of the organization’s data ecosystem.<br>Key Responsibilities and Accountabilities:Lead the design, development, implementation, and optimization of scalable cloud-based data platforms, data lakes, and data pipelines supporting Group Digital initiatives. Design, build, and maintain robust ETL/ELT pipelines using SQL, Python, and modern cloud technologies to integrate data from multiple internal and external sources. Develop and optimize data models, storage architectures, and processing frameworks to ensure high performance, scalability, reliability, and cost efficiency. Establish and enforce data engineering standards, coding best practices, documentation, and governance across the data engineering function. Collaborate with Business Intelligence, Product, Technology, Commercial, Marketing, and Content teams to translate business requirements into scalable technical solutions. Ensure data quality, integrity, security, and compliance through monitoring, validation, and governance processes. Support the development of analytics, reporting, dashboards, and self-service BI capabilities by delivering reliable and trusted datasets. Optimize cloud infrastructure, database performance, and processing workloads to improve system availability and operational efficiency. Troubleshoot and resolve complex data platform issues, ensuring minimal disruption to business operations. Mentor and provide technical guidance to Data Engineers, promoting knowledge sharing and continuous capability development. Provide technical leadership across the Data Engineering function by driving engineering best practices, mentoring engineers, and guiding technical decisions across Group Digital. Work closely with cross-functional stakeholders, vendors, and technology partners to deliver data engineering initiatives aligned with business priorities. Contribute to Agile delivery by participating in sprint planning, backlog refinement, code reviews, testing, deployment, and continuous improvement activities. Ensure adherence to enterprise data governance, security, architecture, and compliance standards.<br>Job Requirements and Qualifications:Education: Bachelor’s degree in computer science, Information Technology, Software Engineering, Data Engineering, or a related field. A master’s degree or relevant cloud certifications (e.g., Google Cloud Professional Data Engineer, Google Cloud Professional Cloud Architect) is an advantage. Experience: Minimum 7+ years of progressive experience in Data Engineering, Data Platform Development, or related disciplines. Proven experience designing and implementing enterprise-scale data platforms and cloud-native data solutions. Experience leading technical initiatives and mentoring engineering teams. Hands-on experience with Google Cloud Platform (GCP) or equivalent cloud technologies.