planning engineer

qa/qc engineer

project engineer

sales engineer

agile coach

ai solutions 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

Inmogestion del Sur Real Estate

The PropTech Engineer is responsible for the research, implementation, and maintenance of technological solutions that enhance property value, operational efficiency, and the customer experience. At Inmogestion del Sur, you will focus on digitizing the real estate lifecycle&mdash;from automated lead management and virtual property viewings to integrating Smart Building technologies (BMS) into residential and commercial portfolios in Doha.Key Responsibilities<ul><li>Smart Building Integration: Oversee the deployment and maintenance of IoT sensors and Building Management Systems (BMS) to monitor energy usage, security, and occupancy in real-time.</li><li>Platform Development: Manage and optimize the company&rsquo;s digital platforms, ensuring seamless integration between CRM (Salesforce/Propertybase), listing portals, and internal property databases.</li><li>Virtual Experience Management: Implement and maintain VR/AR tools for remote property viewings, a critical service for Doha&rsquo;s high volume of international and expatriate investors.</li><li>Data Analytics &amp; Valuation: Utilize Big Data and AI to develop automated valuation models (AVMs) and provide predictive market analytics for the Qatari market.</li><li>Cybersecurity &amp; Privacy: Ensure all digital property records and tenant data comply with Qatar&rsquo;s Personal Data Privacy Protection Law (PDPPL).</li><li>Process Automation: Architect workflows to automate manual tasks in leasing, maintenance requests, and contract management (PropTech automation).</li><li>Vendor Liaison: Evaluate and manage relationships with global and local tech vendors (e.g., smart lock providers, energy management software).</li></ul>Requirements &amp; Qualifications<ul><li>Experience: 4&ndash;7 years in a technical role within the Real Estate, Construction, or Tech sector. Experience in the Middle East PropTech scene is highly valued.</li><li>Education: Bachelor&rsquo;s degree in Computer Science, Industrial Engineering, or Information Systems. An additional certification in Real Estate Management is a plus.</li><li>Technical Skills:</li><li>Systems: Experience with BMS (Honeywell, Siemens) and PropTech software (Yardi, MRI, or Propertyfinder Pro).</li><li>Development: Proficiency in Python or JavaScript for system integrations and data analysis.</li><li>Data: Mastery of SQL and experience with data visualization tools like Power BI.</li><li>IoT/Networking: Understanding of LoRaWAN, Zigbee, or 5G applications in smart buildings.</li><li>Language: Professional English fluency is mandatory. Arabic is a major asset for communicating with local developers and government utility bodies (KAHRAMAA).</li></ul>Job Type: Full-timePay: QAR21,000.00 per monthWork Location: In person

Property Technology (PropTech) Engineer

Al Adyat consultancy

Job Profile: Cloud Infrastructure ArchitectJob Overview:The Cloud Infrastructure Architect is responsible for designing and overseeing the deployment of scalable, secure, and high-performance infrastructure to support the implementation of Plant Data Model (PDM) system. This role focuses on hybrid architecture with a strong emphasis on Microsoft technologies, including Azure, Microsoft 365, Intune, and Power Platform.The architect will evaluate infrastructure proposals submitted by implementation partners, ensure alignment with enterprise architecture and cybersecurity standards, and supervise the setup and integration of cloud and on-premises components. The role requires deep technical expertise in cloud infrastructure, virtualization, disaster recovery, and enterprise-grade networking, with proven experience in oil and gas environments.Key Responsibilities:<ul><li>Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment with enterprise architecture, cybersecurity standards, and operational requirements.</li><li>Lead the implementation of hybrid cloud infrastructure to support the PDM solution, with a focus on Microsoft technologies including Azure, Microsoft 365, Intune, and Power Platform in collaboration with implementation partners.</li><li>Lead the deployment and configuration of virtual machines, storage systems, networking components, and backup solutions across on-premises and cloud environments.</li><li>Ensure seamless integration of infrastructure with Active Directory, DNS, SCCM, Intune, and other enterprise services.</li><li>Oversee disaster recovery planning and high availability setup for PDM, ensuring compliance with existing DR architecture and recovery objectives.</li><li>Monitor infrastructure performance across distributed sites (e.g., Ras Laffan, Taweelah, Abu Dhabi), optimizing for latency, bandwidth, and system responsiveness.</li><li>Collaborate with system integration experts to ensure infrastructure readiness for middleware, APIs, and real-time data systems.</li><li>Enforce security protocols including encryption, role-based access controls, and secure remote access via ZTNA and MFA.</li><li>Support infrastructure scalability planning, capacity assessments, and hardware provisioning in coordination with approved vendors.</li><li>Maintain detailed documentation of infrastructure architecture, deployment plans, and operational procedures.</li><li>Provide technical oversight during implementation, testing, and go-live phases, ensuring infrastructure stability and compliance.</li></ul>Required Qualifications:Educational Background:<ul><li>A degree in computer science, Computer Engineering, information technology, or a related field</li></ul>Certifications (Preferred)<ul><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>Certified Kubernetes Administrator (CKA)</li><li>TOGAF or similar enterprise architecture framework</li></ul>Expected Experience<ul><li>Minimum: 7&ndash;10 years of experience in IT infrastructure and cloud architecture</li><li>Preferred: Experience leading or supporting cloud/hybrid deployments for industrial platforms (e.g., AVEVA, Hexagon, Siemens, Bentley)</li></ul>Technical Skills<ul><li>Deep expertise in Microsoft Azure services including Virtual Machines, Azure Active Directory, Azure Storage, Azure Networking, and Azure Monitor.</li><li>Experience with Microsoft 365, Intune, and Power Platform for enterprise productivity, device management, and workflow automation.</li><li>Strong understanding of hybrid cloud architecture, including integration between on-premises infrastructure and cloud services.</li><li>Experience with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for deploying and managing containerized applications in hybrid environments</li><li>Advanced knowledge of Azure Virtual Network (VNet) design, ExpressRoute, VPN gateways, DNS, load balancing, and secure network segmentation.</li></ul>Soft Skills:<ul><li>Excellent analytical and research skills.</li><li>Strong communication skills to collaborate with cross-functional teams.</li><li>Strong presentation skills</li></ul>Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>IT infrastructure and cloud architecture: 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Computer Engineering (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

Cloud Infrastructure Architect

Starlink Qatar

<div>
 
 The
 
 Data Governance &amp; Privacy Lead
 
 defines and drives the governance framework for data used by smart-city capabilities (including Cognitive AI). The role establishes standards for
 
 data classification, privacy-by-design, consent, retention, lineage, and controlled sharing
 
 across multi-tenant environments and multiple vendors. Working with stakeholders, security teams, and delivery vendors, the lead ensures that
 
 data products and AI pipelines comply with applicable regulations and policies
 
 , and that governance is operationalized through tooling, processes, and automated controls embedded into platform onboarding and service delivery.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define
 
 data governance operating model
 
 : roles (data owners/stewards), RACI, councils, and approval workflows.
 </li>
 <li>
 Establish standards for
 
 data classification, residency, retention, legal holds, and secure disposal
 
 across tenants.
 </li>
 <li>
 Define
 
 privacy-by-design requirements
 
 : consent management, purpose limitation, minimization, and data access controls.
 </li>
 <li>
 Drive
 
 data cataloging and metadata management
 
 (ownership, descriptions, schemas, sensitivity labels, quality scores).
 </li>
 <li>
 Define
 
 lineage and provenance requirements
 
 for data pipelines and AI artifacts (datasets, labels, embeddings, vector indexes).
 </li>
 <li>
 Specify
 
 DLP and egress control requirements
 
 for storage, APIs, and AI/RAG workflows; coordinate with Cybersecurity Architect.
 </li>
 <li>
 Define
 
 data-sharing policies and contracts
 
 (inter-agency sharing, vendor access boundaries, anonymization/masking rules).
 </li>
 <li>
 Establish
 
 data quality framework
 
 : validations, monitoring, SLA/KPIs, issue management, and remediation processes.
 </li>
 <li>
 Provide
 
 governance assurance for vendor deliverables
 
 (design reviews, acceptance criteria, compliance evidence packs).
 </li>
 <li>
 Enable
 
 operations
 
 : governance dashboards, audit reporting, periodic access reviews, and training for data owners/stewards.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Abilities
 
 
 <ul>
 <li>
 Strong knowledge of
 
 data governance, privacy, and compliance practices
 
 in regulated environments.
 </li>
 <li>
 Ability to
 
 operationalize governance
 
 through processes and automated technical controls (policy-as-code mindset).
 </li>
 <li>
 Understanding of
 
 modern data platforms
 
 (lakehouse, streaming, catalog/lineage) and
 
 AI data lifecycle
 
 (RAG/embeddings).
 </li>
 <li>
 Excellent
 
 stakeholder management
 
 across legal, security, business owners, and vendor teams.
 </li>
 <li>
 Strong
 
 documentation, control definition, and audit-readiness skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Information Technology, Cybersecurity
 
 ; Master&rsquo;s degree highly preferred.
 </li>
 <li>
 
 7+ years
 
 in data governance, privacy, compliance, or data management roles (government/telco preferred).
 </li>
 <li>
 Experience implementing
 
 data catalog/lineage tools
 
 and defining enterprise-wide data standards and policies.
 </li>
 <li>
 Experience with
 
 privacy controls
 
 (consent, RTBF/DSR processes, anonymization/masking, retention schedules).
 </li>
 <li>
 Background working with
 
 delivery vendors
 
 and integrating governance into program delivery and acceptance gates.
 </li>
 <li>
 Familiarity with
 
 AI data governance concepts
 
 (dataset/model cards, provenance, RAG content governance).
 </li>
 </ul>
 
 
 
 
 
 Preferred Tools
 
 
 <ul>
 <li>
 
 Data governance/catalog:
 
 Microsoft Purview (or equivalent), data classification/labeling tools
 </li>
 <li>
 
 Data protection:
 
 DLP tooling, encryption/CMK/HSM, key management (Key Vault/KMS)
 </li>
 <li>
 
 Data platforms:
 
 lakehouse (Delta/Iceberg), streaming (Kafka/Event Hubs), SQL/ETL orchestration (Airflow)
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong
 
 facilitation and consensus-building
 
 (data councils, policy workshops)
 </li>
 <li>
 Ability to
 
 translate legal/privacy requirements into actionable technical controls
 
 </li>
 <li>
 High
 
 attention to detail
 
 with pragmatic prioritization
 </li>
 <li>
 Confidence to
 
 challenge non-compliant designs
 
 and drive remediation
 </li>
 <li>
 Effective
 
 communication and training approach
 
 for non-technical stakeholders
 </li>
 </ul>
</div>

Data Governance & Privacy Lead

QNB Group

<div>
 
 About QNB
 
 
 
 Established in 1964 as the country&rsquo;s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.
 
 
 QNB Group&rsquo;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.
 
 
 QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard &amp; Poor&rsquo;s (A), Moody&rsquo;s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.
 
 
 Based on the Group&rsquo;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.
 
 
 QNB Group has an active community support program and sponsors various social, educational and sporting events.
 
 
 
 Job Summary
 
 
 
 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, GenAI 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.
 
 
 Main Responsibilities
 
 
 <ul>
 <li>
 Shareholder &amp; Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data &amp; 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&rsquo;s exposure to Data &amp; AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data &amp; Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data &amp; Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics &amp; AI solutions to user requirements keeping in mind the Group&rsquo;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.
 </li>
 <li>
 Customer (Internal &amp; 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&rsquo;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&rsquo;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&rsquo;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&rsquo;s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.
 </li>
 <li>
 Internal (Processes, Products, Regulatory):
 </li>
 <li>
 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.
 </li>
 <li>
 Learning &amp; 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.
 </li>
 <li>
 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) &amp; 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.
 </li>
 <li>
 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
 
 
 </li>
 </ul>
 
 Education And Experience Requirements
 
 
 
 <ul>
 <li>
 University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field.
 </li>
 <li>
 At least 10 years of relevant experience, preferably within a Data Scientist or related role.
 </li>
 <li>
 A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable.
 </li>
 <li>
 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.
 </li>
 <li>
 Sound knowledge and implementation experience on LLM based solutions.
 </li>
 <li>
 Prior experience in banking is desirable
 </li>
 <li>
 Sound knowledge in cloud technologies ,Python and full stack engineering is must.
 
 
 </li>
 </ul>
 Note: you will be required to attach the following:
 
 
 <ul>
 <li>
 Resume/CV
 </li>
 <li>
 Copy of Passport or QID
 </li>
 <li>
 Copy of Education Certificate
 </li>
 </ul>
</div>

QNB3619 - Assistant Vice President, Data Science

<div>
 
 We are seeking a
 
 Cybersecurity Architect
 
 to define and govern the end-to-end security architecture for platform capabilities and vendor-delivered solutions. The role ensures
 
 secure-by-design implementation
 
 across cloud-agnostic deployments.
 
 
 You will establish security standards, reference architectures, and assurance processes covering
 
 identity, network segmentation, application security, data protection, and operational security monitoring
 
 . Working with stakeholders, vendors, and operations teams, the architect drives
 
 threat modeling, security controls validation, and compliance evidence readiness
 
 , including SIEM/SOAR integration, vulnerability management, and incident response procedures. The role ensures consistent security posture across multi-tenant environments and multiple cloud platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define
 
 security reference architecture and baseline controls
 
 for cloud, Kubernetes, applications, and data services.
 </li>
 <li>
 Lead
 
 security governance
 
 : design reviews, threat modeling, security exceptions, and risk acceptance processes.
 </li>
 <li>
 Define
 
 identity and access controls
 
 (Entra ID, RBAC, PIM/JIT, conditional access, service principals, secrets management).
 </li>
 <li>
 Design
 
 network security architecture
 
 (segmentation/trust zones, private endpoints, WAF, egress controls, firewall policies).
 </li>
 <li>
 Establish
 
 application security standards
 
 (OWASP, secure SDLC, SAST/DAST, dependency/SBOM, container image signing).
 </li>
 <li>
 Define
 
 data security controls
 
 (classification, encryption/CMK/HSM, DLP, key management, retention, secure deletion).
 </li>
 <li>
 Own
 
 security monitoring requirements and integrations
 
 : Defender for Cloud (CSPM/CWPP), Sentinel (SIEM), SOAR playbooks, alert tuning.
 </li>
 <li>
 Define
 
 vulnerability management and patching processes
 
 for OS/Kubernetes/runtime components, including SLA targets and reporting.
 </li>
 <li>
 Support
 
 incident response readiness
 
 : runbooks, tabletop exercises, forensic logging, evidence handling, and post-incident improvements.
 </li>
 <li>
 Provide
 
 assurance of vendor deliverables and go-live readiness
 
 (pen test coordination, remediation validation, compliance evidence packs).
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Abilities
 
 
 <ul>
 <li>
 Deep understanding of
 
 cloud security architecture, zero-trust networking, and Kubernetes/container security
 
 .
 </li>
 <li>
 Strong capability in
 
 IAM design and privileged access governance
 
 in regulated environments.
 </li>
 <li>
 Ability to translate
 
 risk and compliance requirements into practical technical controls and acceptance criteria
 
 .
 </li>
 <li>
 Experience implementing
 
 security monitoring, detection engineering, and incident response processes
 
 .
 </li>
 <li>
 Strong
 
 stakeholder influence
 
 and ability to enforce standards across multiple vendors and teams.
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Information Technology, Cybersecurity
 
 ; Master&rsquo;s degree highly preferred.
 </li>
 <li>
 
 8+ years
 
 in cybersecurity architecture or security engineering roles in government, telco, finance, or critical infrastructure.
 </li>
 <li>
 Hands-on experience securing
 
 Azure and at least one other cloud
 
 (GCP/AWS), including hybrid connectivity and shared responsibility.
 </li>
 <li>
 Proven experience with
 
 SIEM
 
 (Microsoft Sentinel preferred) and
 
 CSPM/CWPP
 
 (Defender for Cloud preferred).
 </li>
 <li>
 Experience with
 
 secure SDLC, vulnerability management, penetration testing coordination, and remediation programs
 
 .
 </li>
 <li>
 Relevant certifications preferred:
 
 CISSP/CCSP, CISM, Azure Security Engineer, CKA/CKS, ISO 27001 awareness
 
 .
 </li>
 </ul>
 
 
 
 
 
 Preferred Tools
 
 
 <ul>
 <li>
 
 Security posture &amp; SIEM:
 
 Microsoft Defender for Cloud, Microsoft Sentinel, SOAR playbooks
 </li>
 <li>
 
 Container/Kubernetes security:
 
 image scanning (Trivy/Anchore), policy-as-code (OPA/Gatekeeper), cosign/Sigstore, Kubernetes audit tools
 </li>
 <li>
 
 Identity &amp; secrets:
 
 Azure Entra ID, PIM, Key Vault/KMS/HSM, PAM tooling
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Risk-based
 
 decision-making
 
 and ability to articulate trade-offs clearly
 </li>
 <li>
 Strong facilitation of
 
 threat modeling and security design reviews
 
 </li>
 <li>
 Clear, structured
 
 documentation and compliance evidence mindset
 
 </li>
 <li>
 Calm, decisive leadership during
 
 incidents and high-pressure situations
 
 </li>
 <li>
 
 Collaborative approach
 
 that enables delivery while maintaining security standards
 </li>
 </ul>
</div>

Cybersecurity Architect

AL FARAH CONTRACTING

Interior Design Architect<ul><li>minimum 5 years' experience in interior design</li><li>most experience are in site coordination not in office</li><li>preferably working experienced in consultancy</li><li>ID architect will be responsible of all site inspections, shall have knowledge in interior site execution</li><li>Will be responsible of material inspections too, good knowledge in materials &amp; verification of quality</li><li>Interior Designer: Also responsible for reviewing shop drawings and details &amp; confirm whether aligning with the project standards</li><li>more onsite inspection, execution and reviewing shop drawings</li><li>Making quality reports based on site observations</li><li>willing to join 6 to 9 months contract duration in Lusail Site</li><li>Long Term</li><li>with valid QID with NOC</li><li>Immediate Joiner</li></ul>Job Types: Full-time, Part-time

INTERIOR DESIGN ARCHITECT

Explore 191+ Ai solutions architect in Lusail this April. Find roles across top companies and apply now to boost your career.