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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

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>
 
 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

Job Profile: AI Expert for Plant Data Model (PDM Project)Job SummaryWe are seeking a highly skilled AI Expert to design, build, and operationalize AI/ML solutions that deliver measurable business outcomes. The ideal candidate combines deep machine learning expertise with strong software engineering practices, MLOps proficiency, and stakeholder collaboration. This role will lead end-to-end projects&mdash;from problem framing and data acquisition to model development, deployment, monitoring, and continuous improvement&mdash;while ensuring compliance with security, privacy, and governance policies.Key Responsibilities&middot; Partner with business stakeholders to translate strategic objectives into AI use cases with clear KPIs and ROI.&middot; Own the full ML lifecycle: data sourcing, feature engineering, model selection, training, evaluation, and production deployment.&middot; Implement robust MLOps: CI/CD for ML, model registry, automated testing, reproducible pipelines, and monitoring (drift, performance, fairness).&middot; Design scalable data/feature pipelines using best practices for data quality, lineage, and governance.&middot; Develop models across domains (e.g., predictive analytics, time series, NLP, computer vision, recommender systems).&middot; Optimize models for efficiency and cost across CPU/GPU, leveraging quantization, distillation, or serving optimizations.&middot; Deploy and maintain models on cloud and on-prem platforms; orchestrate with containers and microservices (Docker/Kubernetes).&middot; Establish and enforce responsible AI practices: privacy-preserving methods, bias detection/mitigation, explainability, and secure handling of data.&middot; Produce high-quality documentation: design docs, runbooks, experiment logs, and user guides; present results to technical and non-technical audiences.&middot; Mentor engineers and analysts; contribute to standards, templates, and reusable components within the AI platform.Minimum Qualifications&middot; Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, or related field (or equivalent experience).&middot; 5+ years building and deploying ML models in production environments.&middot; Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).&middot; Hands-on experience with data processing frameworks (e.g., Pandas, Spark), SQL/NoSQL databases, and feature stores.&middot; Proficiency in MLOps tooling (e.g., MLflow, DVC, Kubeflow, Airflow) and CI/CD for ML.&middot; Experience deploying to cloud platforms (e.g., Azure Machine Learning, AWS SageMaker, GCP Vertex AI) and container orchestration (Docker/Kubernetes).&middot; Solid understanding of statistics, experiment design (A/B testing), and model validation techniques.&middot; Excellent communication and stakeholder management skills; ability to articulate complex concepts clearly.Preferred Qualifications&middot; Master&rsquo;s or PhD in a quantitative field.&middot; Experience with NLP (transformers, LLMs, RAG) and computer vision (CNNs, detection/segmentation).&middot; Exposure to time-series forecasting, optimization, and reinforcement learning for industrial use cases.&middot; Experience with Azure ecosystem (Azure ML, Databricks, Data Factory, Synapse) and enterprise integration patterns.&middot; Familiarity with privacy-preserving techniques (differential privacy, federated learning) and model interpretability (SHAP, LIME).&middot; Track record of delivering AI solutions in manufacturing, energy, or operations (e.g., predictive maintenance, process optimization).Technical Stack &amp; Tools&middot; Languages: Python (preferred), SQL; familiarity with C++/Java is a plus.&middot; ML/AI: scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face; experiment tracking (MLflow).&middot; Data: Pandas, Spark, Delta/Parquet; data versioning (DVC); feature stores.&middot; Pipelines &amp; Orchestration: Airflow, Prefect, Kubeflow; Docker/Kubernetes for serving.&middot; Monitoring &amp; Observability: Prometheus/Grafana; model drift/performance monitoring tools.&middot; DevOps: Git, GitHub/GitLab, CI/CD, testing frameworks (pytest).&middot; Cloud: Azure (preferred), AWS, GCP; serverless and managed ML services.Core Competencies &amp; Soft Skills&middot; Business acumen with the ability to prioritize use cases based on value and feasibility.&middot; Structured problem solving and hypothesis-driven experimentation.&middot; Clear written and verbal communication, storytelling with data, and visualization skills.&middot; Collaboration and mentorship across cross-functional teams (engineering, operations, compliance).&middot; Ownership mindset with a focus on reliability, safety, and continuous improvement.AI Governance, Security &amp; Compliance&middot; Adhere to corporate data governance policies, security standards, and regulatory requirements (e.g., GDPR where applicable).&middot; Implement role-based access controls, encryption, secure secrets management, and audit trails across the ML stack.&middot; Ensure models meet fairness, transparency, and explainability guidelines; conduct regular risk assessments and reviews.Success Criteria &amp; KPIs&middot; Cycle time from ideation to production (weeks).&middot; Model performance against business KPIs (e.g., accuracy, precision/recall, uplift, cost savings).&middot; Operational reliability (SLA adherence, downtime, incident rate).&middot; Adoption and user satisfaction for AI-enabled products and workflows.Compliance metrics (governance checks passed, audits completed).Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Expert for Plant Data Model (PDM Project) : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Data Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

AI Expert for Plant Data Model (PDM Project)

COZMALABS

About the RoleApplab is a Microsoft Gold Partner and one of Qatar's leading AI and enterprise technology companies, serving government entities, energy sector clients, and major commercial organizations. As we scale our growth and ventures division, we are looking for a Business Development Officer who is built for one thing: closing complex enterprise deals.This is not a lead-generation role. You will operate at the final mile of our sales cycle, working alongside senior leadership to convert high-value opportunities into signed contracts. You will be deeply involved in shaping proposals, structuring commercial terms, and presenting to senior government and enterprise stakeholders across Qatar and the wider GCC.Key ResponsibilitiesProposal &amp; Deal Architecture<ul><li>Lead the development of sales presentations, Statements of Work (SOWs), and commercial proposals for enterprise software and AI engagements.</li><li>Structure deal terms in coordination with technical, legal, and finance teams to ensure proposals are competitive, compliant, and profitable.</li><li>Translate complex technical solutions into clear, persuasive value propositions tailored to government and enterprise buyers.</li></ul>Government &amp; Public Sector Engagement<ul><li>Manage and advance active opportunities with government ministries, regulatory bodies, and public sector entities in Qatar.</li><li>Navigate formal procurement processes including RFPs, RFQs, and tender submissions, ensuring compliance with public sector requirements.</li><li>Build and maintain trusted relationships with decision-makers and procurement officers across government accounts.</li></ul>Partner &amp; Stakeholder Alignment<ul><li>Act as the connective tissue between Applab and clients to move opportunities from qualified to contracted.</li><li>Coordinate with Partner&rsquo;s account teams to align on co-selling opportunities, and partner incentive programs.</li><li>Prepare and deliver executive-level pitch decks and product demonstrations for C-suite and government stakeholders.</li></ul>Pipeline &amp; Reporting<ul><li>Maintain accurate deal tracking and forecasting, with clear visibility into pipeline health and projected close timelines.</li><li>Identify upsell and cross-sell opportunities within the existing client base, particularly in government and commercial sectors.</li></ul>RequirementsEssential<ul><li>5 to 7 years of experience in B2B enterprise technology sales, business development, or pre-sales, with a demonstrable record of closing deals above QAR 500K.</li><li>Proven experience managing government or public sector deals, including familiarity with Qatar or GCC procurement processes.</li><li>Exceptional written and verbal communication skills, with the ability to produce high-quality presentations, SOWs, and commercial proposals independently.</li><li>Strong executive presence and presentation skills, comfortable engaging C-level and government decision-makers.</li></ul>Preferred<ul><li>Working knowledge of Microsoft Azure or similar cloud platform ecosystems.</li><li>Prior exposure to AI, digital transformation, or enterprise software solutions in a sales or BD capacity.</li><li>Arabic language proficiency is a strong advantage for stakeholder engagement in the Qatar market.</li><li>Bachelor's degree in Business, Engineering, Computer Science, or a related field.</li></ul>What You Will Be Part OfAt Applab, you will work at the intersection of AI, enterprise technology, and some of Qatar's most significant digital transformation programs. Our clients include government ministries, energy sector leaders, and major commercial organizations. We are a Microsoft Partner with a growing footprint across the GCC, and this role puts you at the center of our most strategic deals.<ul><li>Direct exposure to high-value, complex enterprise and government deals.</li><li>Close collaboration with senior leadership and partner teams.</li><li>Work on AI-powered solutions and enterprise platforms at the frontier of Qatar's digital agenda.</li><li>A team culture that values initiative, ownership, and professional growth.</li></ul>Job Type: Full-timeWork Location: In person

Business Development Officer

Forvis Mazars in Qatar

<div>Job responsibilities: 
<ul><li>Responsible for overall design, operation, maintenance and continuous improvement of the data, analytics and artificial intelligence platforms used by the Security Operations Center (further referenced as SOC). Responsibilities and duties are planned as follows:</li></ul>

<ul><li>Continuous maintenance of the data pipelines, analytics platforms and AI models used by the Security Operations Center; including data ingestion, normalization, feature extraction, model training and deployment.</li></ul>

<ul><li>Ensuring the overall health of the SOC data platform, analytics engines, machine learning models, and AI-assisted detection systems.</li></ul>

<ul><li>Manage verification, validation, tuning, and quality of security telemetry including logs, NetFlow/IPFIX, EDR data, threat intelligence feeds and other SOC data sources.</li></ul>

<ul><li>Develop, train, validate and tune machine learning and analytics models used for:</li></ul>

<ul><li>Anomaly detection</li></ul>

<ul><li>Threat classification</li></ul>

<ul><li>Behavioral analysis</li></ul>

<ul><li>Alert prioritization and risk scoring</li></ul>

<ul><li>Deploy and tune detection models and analytic use cases driven by security intelligence, threat hunting and incident response requirements.</li></ul>

<ul><li>Implement analytic use cases as required by Security Intelligence, Tier-2 and Tier-3 teams.</li></ul>

<ul><li>Manage and coordinate data source onboarding, integration, normalization, enrichment and troubleshooting for all SOC telemetry sources.</li></ul>

<ul><li>Manage access and permissions for data platforms, analytics environments and AI systems used by the SOC.</li></ul>

<ul><li>Ensure that security data sources are correctly feeding the analytics and AI platforms.</li></ul>

<ul><li>Generate analytical reports, dashboards and model outputs as required by SOC management, threat hunting and incident response teams.</li></ul>

<ul><li>Configuration, management, performance tuning and capacity planning of SOC data, analytics and AI platforms.</li></ul>

<ul><li>Support proof-of-concepts (POCs) for new SOC data sources, analytics techniques and AI-driven security capabilities.</li></ul>

<ul><li>Review vendor, open-source and research developments in security analytics, machine learning and AI relevant to SOC operations.</li></ul>

<ul><li>Should have good knowledge of systems, solutions and security tools and skills as follows:</li></ul>

<ul><li>Knowledge of MS Windows and UNIX-based systems.</li></ul>

<ul><li>Knowledge of data engineering and big-data platforms (data pipelines, stream processing, data lakes).</li></ul>

<ul><li>Knowledge of security telemetry including SIEM data models, NetFlow/IPFIX, EDR telemetry and threat intelligence formats.</li></ul>

<ul><li>Knowledge of machine learning and analytics techniques including anomaly detection, classification, clustering and statistical modeling.</li></ul>

<ul><li>Knowledge of AI-driven SOC technologies including LLM-based assistants, automated enrichment and detection analytics.</li></ul>

<ul><li>Familiarity with MITRE ATT&amp;CK, incident response lifecycle and threat hunting methodologies.</li></ul>

<ul><li>Problem-solving skills to identify data quality, detection gaps and model performance issues.</li></ul>

<ul><li>Communication with SOC teams (Tier-1, Tier-2, Tier-3) to align analytics and AI capabilities with operational needs.</li></ul>

<ul><li>Communication with vendors and data providers related to SOC analytics, telemetry and AI platforms.</li></ul>

Required certifications in:

<ul><li>Data engineering, analytics or AI platforms (Cloudera, Databricks, AWS, Azure, GCP, etc.)</li></ul></div>

CSOC Data Analyst L2

Bornan Sports Technology

Bornan Sports Technology is a company specializing in technological innovation for sports. We develop products for all types of sporting events, whether large or small, both nationally and internationally. We provide real-time results, timing, and TV graphics services.We are looking for an organized and professional person to join our team. The successful candidate will be responsible for managing and optimizing cloud infrastructure, supporting system reliability.Responsibilities:<ul><li>Administer and manage cloud environments, primarily on AWS</li><li>Review, maintain, and optimize infrastructure, including Linux instances and service/data migrations</li><li>Design and implement new cloud architectures</li><li>Ensure system reliability, security, and performance across cloud environments</li><li>Implement and manage CI/CD pipelines</li><li>Monitor infrastructure using observability tools</li></ul>Requirements:<ul><li>Minimum 1 year of experience with AWS</li><li>AWS Professional or Specialty certification (Solutions Architect, DevOps Engineer, or Security)</li><li>Strong Linux system administration and skills with Bash scripting</li><li>Experience with Infrastructure as Code tools such as Terraform</li><li>Knowledge of container technologies (Docker, ECS) and Kubernetes (EKS)</li><li>Experience designing CI/CD pipelines and working with high availability and fault-tolerant architectures</li><li>Familiarity with monitoring and observability tools (CloudWatch, Prometheus, Grafana, ELK)</li><li>Understanding of cloud security best practices, compliance, and the AWS Well-Architected Framework</li></ul>Preferred Qualifications:<ul><li>Experience with multi-cloud environments (AWS, GCP, or Azure)</li><li>Certifications in AWS Security or Kubernetes (CKA, CKSA, CKAD)</li><li>Automation and development experience with Python, Node.js, JavaScript, or Bash</li><li>Experience managing databases (RDS, MongoDB Atlas, ElasticSearch/OpenSearch)</li><li>Experience with CMS platforms such as WordPress or Drupal</li></ul>If you are a dynamic, detail-oriented professional looking to join a company with international projects where you can expand your skills, we would be delighted to meet you.Job Types: Full-time, PermanentApplication Question(s):<ul><li>What is your visa type and nationality?</li><li>What is your salary expectations QAR (full package)? </li><li>Please provide the link to your AWS certification badge on Credly</li></ul>Experience:<ul><li>AWS: 1 year (Required)</li></ul>License/Certification:<ul><li>AWS Professional Certification (Required)</li></ul>Willingness to travel:<ul><li>75% (Required)</li></ul>

Cloud (AWS)

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