graphic designer

planning engineer

architect

civil engineer

material engineer

ai architect

Starlink Qatar

<div>
 
 
 Job Title: AI Architect
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 Design and deliver end-to-end AI solutions, with a strong focus on building business cases tailored to the sports, sports performance, education, and medical industries. The role involves leveraging machine learning, natural language processing, and data analytics to develop scalable, high-impact AI systems that enhance operational efficiency and domain-specific outcomes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Solution Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
 </li>
 <li>
 Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution delivery.
 </li>
 <li>
 Align AI solutions with organizational priorities across sports, healthcare, and education sectors.
 </li>
 </ul>
 
 
 Enterprise System &amp; Data Integration
 
 
 <ul>
 <li>
 Integrate cloud-based AI services with enterprise systems such as ERP, CRM, medical, and sports performance platforms.
 </li>
 <li>
 Enable seamless connectivity between structured data (databases, KPIs) and unstructured data (documents, video, medical records).
 </li>
 <li>
 Utilize APIs, middleware, and automation tools to streamline data pipelines and workflows.
 </li>
 </ul>
 
 
 AI Governance &amp; Risk Management
 
 
 <ul>
 <li>
 Ensure compliance with data protection regulations such as GDPR, HIPAA, and relevant local laws.
 </li>
 <li>
 Monitor AI systems for bias, transparency, and explainability.
 </li>
 <li>
 Implement security, governance, and ethical AI best practices.
 </li>
 </ul>
 
 
 Applied AI Enablement
 
 
 <ul>
 <li>
 Deploy and customize existing AI models for practical, real-world applications.
 </li>
 <li>
 Configure conversational AI, knowledge agents, and analytics tools to support business operations.
 </li>
 <li>
 Continuously evaluate advancements in AI platforms and implement enhancements.
 </li>
 </ul>
 
 
 Stakeholder &amp; Client Management
 
 
 <ul>
 <li>
 Collaborate with internal stakeholders to identify opportunities for AI adoption.
 </li>
 <li>
 Present AI solutions with clear, measurable business value.
 </li>
 <li>
 Act as a trusted advisor for AI-driven transformation initiatives.
 </li>
 </ul>
 
 
 Performance &amp; Scalability
 
 
 <ul>
 <li>
 Optimize AI systems for performance, scalability, and reliability.
 </li>
 <li>
 Establish monitoring frameworks and continuous improvement processes.
 </li>
 <li>
 Define KPIs and track ROI for AI implementations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Minimum 8+ years of experience in Solution Architecture.
 </li>
 <li>
 At least 4 years of hands-on experience in applied AI/ML projects.
 </li>
 <li>
 Mandatory: Bilingual (Arabic speaker)
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 <ul>
 <li>
 AI-related certifications such as Microsoft Certified AI Developer/Architect.
 </li>
 <li>
 Experience with Azure AI Foundry and Google Cloud AI/ML platforms.
 </li>
 <li>
 Additional software development certifications (e.g., Microsoft Certified Developer/Architect) are a plus.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong expertise in designing and delivering AI-driven solutions.
 </li>
 <li>
 Proficiency in AI concepts, tools, frameworks, and models.
 </li>
 <li>
 Experience with solution architecture methodologies, including evaluation techniques, component modeling, and impact analysis.
 </li>
 <li>
 Solid understanding of SDLC, requirements analysis, and technical design (high-level and detailed).
 </li>
 <li>
 Hands-on experience with Azure AI Foundry for enterprise AI lifecycle management.
 </li>
 <li>
 Expertise in Google Agent Builder, SDKs for mobile agents, and multi-agent systems.
 </li>
 <li>
 Strong knowledge of Advanced Retrieval-Augmented Generation (RAG) for enterprise knowledge systems.
 </li>
 <li>
 Proficiency in data and database architecture (SQL, NoSQL, vector databases, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, and high-performance AI systems.
 </li>
 <li>
 Excellent communication skills to bridge technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

AI Architect

Team Moxim

Job Opportunity: AI Solutions ArchitectLocation: Mesaieed, Qatar Company: Team MoximAbout UsTeam Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary AI Solutions Architect to design and deliver advanced AI-driven systems.Role OverviewWe are looking for an AI Solutions Architect to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.Key Responsibilities<ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul>Why Join Us?<ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul>Pay: Up to QAR32,000.00 per monthWork Location: In person

AI Solutions Architect

COZMALABS

We're looking for a Solution Architect who can lead the design of scalable, secure, and high-performance applications. You&rsquo;ll work closely with project management, Data, AI, and DevOps teams to bridge technical gaps, define best practices, and create architectures that meet business and user needs. You should be able to handle technical discussions with business and technical teams clearly and confidently.Key Responsibilities<ul><li>Collaborate with development teams to design scalable and maintainable applications across Data and AI.</li><li>Create detailed solution architecture documents, diagrams, and design artifacts.</li><li>Responsible for handling technical discussions with clients, developers, and business teams.</li><li>Provide technical leadership on Data &amp; AI architecture decisions.</li><li>Assess and select technologies to fit the needs of a project, considering performance, cost, and scalability.</li><li>Review code, architecture, and deployments to ensure alignment with best practices.</li><li>Support DevOps and cloud deployment strategies on Microsoft Azure</li><li>Help enforce security and networking standards within architecture</li><li>Conduct technical workshops and client presentations.</li><li>Full awareness of SDLC practices and techniques.</li><li>Stay up to date with the latest technologies and recommend adoption where appropriate.</li></ul>Technical SkillsData, AI, &amp; Cloud (Hands-On Experience required)<ul><li>Solid understanding of Azure Databricks, Azure Synapse Analytics, Azure Data Factory and other Azure SQL Databases</li></ul>&middot; Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI<ul><li>Experience of Microsoft Azure (App Services, Azure Functions, Azure DevOps, ARM/Bicep/Terraform templates, azure networking and security, etc.)</li><li>CI/CD, Infrastructure as Code (IaC), Monitoring, Security.</li></ul>Architecture &amp; Documentation (Hands-On Experience required)<ul><li>Flow diagrams, ERDs, data flow diagrams, HLD, LLD, sequence diagrams.</li><li>Architecture design patterns (Microservices, Monolith, Serverless, etc.)</li><li>Documenting and communicating technical decisions.</li></ul>Front-End (Nice to Have)<ul><li>React</li><li>Flutter, Native Android (Kotlin/Java), and iOS (Swift)</li></ul>Back-End (Hands-On Experience Required in one)<ul><li>Python</li><li>.NET (C#)</li><li>Laravel (PHP)</li></ul>Soft Skills<ul><li>Strong verbal and written communication.</li><li>Ability to explain complex technical concepts to non-technical stakeholders.</li><li>Team leadership and collaboration.</li><li>Confident in client-facing discussions and defending architectural decisions.</li></ul>Networking &amp; Security<ul><li>Understanding of firewalls, load balancers, VPNs, authentication (OAuth2, SAML), encryption, and secure coding practices</li></ul>Typical Day in the Role<ul><li>Attend daily stand-ups or sprint planning sessions with dev teams.</li><li>Define and own end-to-end data architecture using Azure Synapse, Databricks, Azure Data Factory, Power BI, and Microsoft Fabric</li><li>Lead the architecture and delivery of enterprise-scale AI/ML solutions aligned with business goals and emerging technologies.</li><li>Review and guide technical designs and architecture proposals.</li><li>Meet with clients and stakeholders to understand requirements or present solutions.</li><li>Document architectural decisions and update solution documentation.</li><li>Conduct code or infrastructure reviews.</li><li>Support DevOps pipelines and deployment planning.</li><li>Collaborating with other architects or tech leads to ensure alignment across teams.</li></ul>The Ideal CandidateYou are a technical problem solver and strategic thinker with a passion for designing scalable Data &amp; AI solutions and enabling teams to deliver impactful outcomes. You&rsquo;re just as comfortable defining data platform architectures and AI workloads as you are reviewing Databricks pipelines, MLOps processes, or Azure security and governance models.Job Type: Full-timeWork Location: In person

Solution Architect

QAFCO (Qatar Fertiliser Company)

<div>
 
 Job Summary
 
 
 
 The Enterprise Architect is responsible for defining, governing, and continuously evolving the organization&rsquo;s enterprise architecture across Information Technology (IT), Operational Technology (OT), Cybersecurity, Data, and Digital Office domains within the Oil &amp; Gas environment. The role ensures that all technology capabilities are fully aligned with corporate strategy, operational excellence objectives, HSE priorities, cybersecurity resilience requirements, and long-term digital transformation goals.
 
 
 The Enterprise Architect establishes an integrated architecture vision that connects business capabilities, industrial control systems, enterprise applications, data platforms, infrastructure, and digital collaboration environments into a secure, scalable, and future-ready ecosystem. This includes enabling IT/OT convergence while maintaining operational integrity, safety compliance, and cyber resilience in mission-critical environments.
 
 
 
 The Enterprise Architect Ensures That Technology Investments
 
 
 
 <ul>
 <li>
 Deliver measurable business value
 </li>
 <li>
 Improve operational efficiency and reliability
 </li>
 <li>
 Enhance cybersecurity posture
 </li>
 <li>
 Reduce technical debt and system redundancy
 </li>
 <li>
 Support regulatory compliance and risk management
 </li>
 <li>
 Enable data-driven decision-making across field and corporate operations
 
 
 </li>
 </ul>
 In addition, the role champions secure digital transformation by embedding cybersecurity-by-design principles, promoting zero-trust architecture, strengthening industrial control system protections, and ensuring business continuity in high-risk operational environments.
 
 
 The Enterprise Architect also leads the Digital Office strategy to modernize the workplace through cloud adoption, collaboration platforms, automation, AI-enabled productivity tools, and secure remote access solutions &mdash; improving workforce productivity and digital experience across corporate offices and remote field locations.
 
 
 Ultimately, the Enterprise Architect is accountable for building a resilient, innovative, and integrated technology landscape that enables sustainable growth, operational excellence, and competitive advantage in QAFCO.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Develop and maintain the enterprise architecture (EA) framework, principles, standards, policies and operating models.
 </li>
 <li>
 Define integrated IT/OT/cyber security /Digital architecture principles.
 </li>
 <li>
 Establish long-term IT road maps with alignment with business, cybersecurity, and Digital Office.
 </li>
 <li>
 Align IT strategy and architecture with business goals and corporate strategy.
 </li>
 <li>
 Define and manage enterprise technology roadmaps (short-, medium-, and long-term).
 </li>
 <li>
 Establish governance processes to ensure compliance with architectural standards.
 </li>
 <li>
 Translate business capabilities and strategy into technology architecture requirements.
 </li>
 <li>
 Partner with business stakeholders to understand transformation priorities.
 </li>
 <li>
 Ensure IT initiatives support enterprise-wide integration and optimization.
 </li>
 <li>
 Identify opportunities for digital innovation and automation.
 </li>
 <li>
 Define target-state architectures across:
 </li>
 </ul>
 <li>
 </li>
 <li>
 </li>
 <ul>
 <li>
 Business Architecture
 </li>
 <li>
 Application Architecture
 </li>
 <li>
 Data &amp; Information Architecture
 </li>
 <li>
 Infrastructure &amp; Cloud Architecture
 </li>
 <li>
 OT/ICS Architecture (SCADA, DCS, PLC)
 </li>
 <li>
 Cybersecurity Architecture
 </li>
 <li>
 Digital Workplace Architecture
 </li>
 <li>
 Integration Architecture
 </li>
 <li>
 Ensure secure integration between enterprise IT and operational technologies.
 </li>
 <li>
 Drive interoperability across production, refining, and distribution systems.
 </li>
 <li>
 Oversee system integration and interoperability standards.
 </li>
 <li>
 Ensure scalability, performance, and reliability of enterprise platforms.
 </li>
 <li>
 Establish enterprise data governance architecture.
 </li>
 <li>
 Enable enterprise data platforms and analytics.
 </li>
 <li>
 Support AI/ML, digital twins, and advanced analytics.
 </li>
 <li>
 Promote automation and RPA initiatives.
 </li>
 <li>
 Drive adoption of emerging digital technologies.
 </li>
 <li>
 Lead cloud adoption strategy.
 </li>
 <li>
 Evaluate and recommend emerging technologies.
 </li>
 <li>
 Rationalize application and technology portfolio to reduce redundancy.
 </li>
 <li>
 Lead legacy system modernization initiatives.
 </li>
 <li>
 Assess vendor solutions and ensure architectural fit.
 </li>
 <li>
 Ensure architectural designs comply with cybersecurity and regulatory requirements.
 </li>
 <li>
 Identify technical risks and develop mitigation strategies.
 </li>
 <li>
 Collaborate with Information Security and Risk teams.
 </li>
 <li>
 Support disaster recovery and business continuity planning.
 </li>
 <li>
 Provide architectural leadership across IT and business units.
 </li>
 <li>
 Mentor solution architects and technical teams.
 </li>
 <li>
 Present architecture strategies and investment cases to executive leadership.
 </li>
 <li>
 Act as a trusted advisor for strategic technology decisions.
 </li>
 <li>
 Promote best practices in architecture and solution design.
 </li>
 <li>
 Drive cloud adoption, automation, DevOps, and modernization strategies.
 </li>
 <li>
 Continuously evaluate architectural maturity and optimize frameworks.
 </li>
 <li>
 Participate in the on-the-job training of trainees and newly hired personnel within the Group to ensure that they develop the necessary skills to independently carry out assigned activities. Train End-Users in the application of newly developed systems.
 
 
 </li>
 </ul>
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in IT, Computer Engineering, or relevant discipline.
 </li>
 <li>
 7+ years direct and relevant experience.
 </li>
 </ul>
</div>

Enterprise Architect

Quantiphi

<div>
 
 
 Role:
 
 Client Solutions Partner
 
 
 
 Experience:
 
 8+ years
 
 
 
 Work location:
 
 Doha, Qatar
 
 
 
 
 
 We're looking for a brilliant technologist, an excellent communicator, and a strategic partner&mdash;to be the technical heart of our AI Go-To-Market team. You will be the spark that ignites our customers' imagination, bridging the gap between the art of the possible and transformative, real-world solutions.
 
 
 
 
 
 
 What You'll Achieve:
 
 
 <ul>
 <li>
 Architect the Future State: Act as the trusted technical advisor to our most strategic clients, architecting end-to-end AI solutions and shaping their long-term technology roadmap.
 </li>
 <li>
 Inspire Action: Translate deep technical concepts into compelling business value, delivering jaw-dropping presentations and demos to audiences ranging from engineers to CXOs.
 </li>
 <li>
 Build and Unblock: Lead and build rapid, hands-on Proofs-of-Concept (especially on Google Cloud) that solve critical problems and dismantle technical blockers, paving the way for large-scale adoption.
 </li>
 <li>
 Drive the Win: Own the entire technical sales cycle&mdash;from discovery and qualification to overcoming objections and securing the "technical win" for high-value enterprise deals.
 </li>
 <li>
 Shape Our Strategy: Act as the voice of the customer and the market, channelling your insights to directly influence the evolution of our products, services, and company strategy. Build team strategy with including sales planning
 </li>
 </ul>
 
 
 
 
 
 What You'll Bring:
 
 
 <ul>
 <li>
 
 Applied AI Mastery:
 
 Deep, demonstrable, hands-on expertise in building and deploying modern AI solutions, with a strong focus on Generative AI (RAG, Agents, LLMs) and Computer Vision.
 </li>
 <li>
 
 Data Strategy &amp; Enablement
 
 Expertise in defining data strategies that align with business goals&mdash;spanning data ingestion, modelling, governance, and consumption&mdash;enabling organizations to scale analytics and AI with confidence.
 </li>
 <li>
 
 Cloud &amp; Systems Fluency:
 
 Expertise of cloud architecture, with a proven track record of designing scalable, production-grade systems (strong Google Cloud experience is a significant advantage).
 </li>
 <li>
 
 Consultative Mindset:
 
 A natural ability to listen, challenge, and guide customers towards solutions they didn't know were possible.
 </li>
 <li>
 
 Effortless Communication:
 
 You are a storyteller who can command a room, build instant credibility, and articulate complex ideas with powerful simplicity.
 </li>
 <li>
 
 Proven GTM Experience:
 
 A significant track record of success in a senior, customer-facing technical role such as a Solutions Architect, Principal Sales Engineer, or Technical Evangelist.
 </li>
 <li>
 
 Be a Force Multiplier:
 
 Mentor and elevate our exceptional team of young AI talent, fostering a culture of curiosity and collaboration by being a leader who actively listens, learns, and guides.
 </li>
 </ul>
 
 
 
 
 
 Additional Skills required:
 
 
 
 You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred.
 
 <ul>
 <li>
 Knowledge and willingness to learn and apply emerging trends in business research, data science, Machine learning Artificial Intelligence, Cloud
 </li>
 <li>
 Strong exposure of cloud technologies like GCP, AWS, Azure etc
 </li>
 <li>
 Excellent communication, articulation, abstraction, analytical and presentation skills
 </li>
 <li>
 Executive demeanor and experience working with senior client executives
 </li>
 <li>
 Ability to work with minimal supervision in a dynamic and time sensitive work environment
 </li>
 <li>
 Excellent aptitude in business analysis and awareness of quantitative analysis techniques
 </li>
 <li>
 Self-driven and strong aptitude to work in an entrepreneurial , fast-paced environment with minimal supervision and a passion for developing new value-added AI based solutions for clients across a variety of industries
 </li>
 </ul>
 
 
</div>

Client Solutions Partner

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.</li>
<li>Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.</li>
<li>Experience engaging with, or presenting to, technical stakeholders or executive leaders.</li>
<li>Ability to communicate in Arabic and English fluently to interact with stakeholders in the region.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.</li>
<li>Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).</li>
<li>Experience building long-term technical strategies to uncover new workloads with customers.</li>
<li>Experience migrating applications and services to cloud platforms.</li>
<li>Experience with security concepts (e.g., encryption, identity management, access control, attack vectors, pen testing).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
The Google Cloud Platform team helps customers transform and build what's next for their business &mdash; all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers &mdash; developers, small and large businesses, educational institutions and government agencies &mdash; see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Platform Customer Engineer (CE), you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as the customer&rsquo;s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business challenges. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business challenges. You will use your strategic acumen and presentation skills to engage with technical and business leaders, and present practical and useful solutions on Google Cloud.<div>
You will focus on identifying, pursuing, and winning new business workloads. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.</div>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Develop and own the technical account plan and strategy, participating in planning and supporting aimed sales motions.</li>
<li>Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and workshops.</li>
<li>Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers, continue to lead the technical engagement in the solution phase.</li>
<li>Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.</li>
<li>Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Customer Engineer, Platform, MENA, Google Cloud (Arabic, English)

Confidential

<div>
 
 
 Role Definition
 
 
 
 
 
 
 The Architect will:
 
 <ul>
 <li>
 Own
 
 critical and irreversible architectural decisions
 
 </li>
 <li>
 Lead
 
 hands-on recovery of production failures
 
 </li>
 <li>
 Ensure
 
 long-term survivability, scalability, and resilience
 
 of infrastructure
 </li>
 </ul>
 
 ⚠️ This is a
 
 strictly on-site role
 
 , requiring continuous physical presence in the data center environment, including direct access to hardware, consoles, and secure facilities.
 
 
 
 
 
 
 Experience (Mandatory)
 
 
 <ul>
 <li>
 
 15&ndash;20 years
 
 of enterprise IT infrastructure experience
 </li>
 <li>
 Proven ownership of
 
 large-scale data centers
 
 (thousands of servers/workloads)
 </li>
 <li>
 Demonstrated accountability for:
 </li>
 <li>
 High-risk architectural decisions
 </li>
 <li>
 Major production outages
 </li>
 <li>
 Root cause analysis and recovery execution
 </li>
 <li>
 Hands-on involvement in
 
 critical incident management and recovery
 
 </li>
 <li>
 Mandatory
 
 100% on-site presence
 
 for operational and recovery activities
 </li>
 </ul>
 
 
 
 
 
 Hardware &amp; Data Center Management (Expert Level &ndash; Mandatory)
 
 
 
 
 Enterprise Hardware Platforms
 
 
 <ul>
 <li>
 Design, deployment, and lifecycle management of:
 </li>
 <li>
 Rack, blade, and hyper-converged systems
 </li>
 <li>
 Deep expertise in:
 </li>
 <li>
 BIOS, firmware, drivers, compatibility matrices
 </li>
 <li>
 BMC / iDRAC / iLO and out-of-band management
 </li>
 <li>
 Execution of:
 </li>
 <li>
 Large-scale hardware refresh and expansion programs
 </li>
 <li>
 Decommissioning and lifecycle governance
 </li>
 <li>
 Advanced troubleshooting of:
 </li>
 <li>
 Disk, memory, CPU, NIC, HBA failures
 </li>
 </ul>
 
 
 Data Center Operations &amp; Governance
 
 
 <ul>
 <li>
 Hands-on management of:
 </li>
 <li>
 Racks, power, cooling, cabling, and space planning
 </li>
 <li>
 Coordination with:
 </li>
 <li>
 Facilities teams
 </li>
 <li>
 Vendors and field engineers
 </li>
 <li>
 Ownership of:
 </li>
 <li>
 Hardware standards and build templates
 </li>
 <li>
 Asset lifecycle, warranties, and support contracts
 </li>
 </ul>
 
 
 Hands-On Technical Expertise (Mandatory)
 
 
 
 
 Containers, Kubernetes &amp; OpenShift
 
 
 <ul>
 <li>
 Deep operational expertise in
 
 Kubernetes/OpenShift environments
 
 </li>
 <li>
 Hands-on recovery of:
 </li>
 <li>
 Control plane failures under live production traffic
 </li>
 <li>
 Strong understanding of:
 </li>
 <li>
 Scheduler behavior
 </li>
 <li>
 etcd failure scenarios
 </li>
 <li>
 API server performance bottlenecks
 </li>
 <li>
 Design for:
 </li>
 <li>
 High availability (node, rack, DC failures as baseline scenarios)
 </li>
 </ul>
 
 
 Virtualization &amp; SDDC
 
 
 <ul>
 <li>
 Expert-level design and recovery of virtualization platforms
 </li>
 <li>
 Strong knowledge of:
 </li>
 <li>
 Micro-segmentation
 </li>
 <li>
 Distributed firewalls
 </li>
 <li>
 Performance tuning
 </li>
 <li>
 Ownership of:
 </li>
 <li>
 Emergency upgrades
 </li>
 <li>
 Rollbacks
 </li>
 <li>
 Lifecycle decisions
 </li>
 </ul>
 
 
 Networking &amp; Hybrid Cloud
 
 
 <ul>
 <li>
 Carrier-grade networking design and troubleshooting
 </li>
 <li>
 Hybrid cloud architecture with resilience against:
 </li>
 <li>
 Connectivity failures
 </li>
 <li>
 Identity/control-plane issues
 </li>
 <li>
 Ability to operate
 
 independently of vendors/system integrators
 
 </li>
 </ul>
 
 
 Certifications (Highly Preferred / Mandatory)
 
 
 <ul>
 <li>
 
 Red Hat Certified Architect (RHCA)
 
 &ndash; OpenShift &amp; Infrastructure tracks
 </li>
 <li>
 
 Certified Kubernetes Administrator (CKA)
 
 </li>
 <li>
 
 Certified Kubernetes Security Specialist (CKS)
 
 </li>
 <li>
 
 VMware VCIX (DCV + NV)
 
 or equivalent
 </li>
 <li>
 Cloud Architect Certification:
 </li>
 <li>
 AWS Professional OR Azure Architect Expert
 </li>
 <li>
 
 Expert-level networking certification (CCIE or equivalent)
 
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 
 
 Virtualization &amp; HCI
 
 
 <ul>
 <li>
 Nutanix HCI &amp; AHV (
 
 mandatory
 
 )
 </li>
 <li>
 VMware vSphere, NSX, vSAN
 </li>
 <li>
 Hypervisor performance tuning
 </li>
 <li>
 Data center infrastructure architecture
 </li>
 </ul>
 
 
 Cloud &amp; Automation
 
 
 <ul>
 <li>
 Private cloud architecture
 </li>
 <li>
 Infrastructure as Code (Terraform, Ansible)
 </li>
 <li>
 CI/CD integration
 </li>
 <li>
 API-driven infrastructure
 </li>
 </ul>
 
 
 Storage &amp; Networking
 
 
 <ul>
 <li>
 Software-defined storage:
 </li>
 <li>
 Ceph, Portworx, Nutanix Storage
 </li>
 <li>
 Software-defined networking
 </li>
 <li>
 Load balancers &amp; ingress controllers
 </li>
 </ul>
 
 
 Experience Requirements
 
 
 <ul>
 <li>
 
 10+ years
 
 in infrastructure/virtualization architecture
 </li>
 <li>
 
 5+ years
 
 in Kubernetes/container platforms
 </li>
 <li>
 Strong expertise in:
 </li>
 <li>
 Nutanix HCI
 </li>
 <li>
 VMware enterprise environments
 </li>
 <li>
 Experience in:
 </li>
 <li>
 Large enterprise / telecom / banking environments
 </li>
 <li>
 Proven track record in:
 </li>
 <li>
 Data center transformation
 </li>
 <li>
 Cloud migration programs
 </li>
 </ul>
 
 
</div>

Cloud, Container & Hardware Architect

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