cloud architect

Starlink Qatar

<div>
 
 Job Purpose
 
 
 
 
 
 The Cloud Architect is responsible for designing, implementing, and managing secure, scalable, and highly available cloud and hybrid-cloud architectures across Azure, Google Cloud (GCP), and on-premises HCI platforms (VMware &amp; Nutanix NCM). The role ensures robust cloud governance, automation, security compliance, and alignment with business and technology objectives.
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 <ol>
 <li>
 Cloud &amp; Hybrid Architecture Delivery
 </li>
 </ol>
 <ul>
 <li>
 Design and implement multi-cloud solutions across Azure and GCP aligned with performance, cost, and scalability requirements.
 </li>
 <li>
 Architect and maintain hybrid-cloud environments integrating on-premises data centers with cloud platforms.
 </li>
 <li>
 Design and operate HCI platforms (VMware vSphere, vSAN, NSX-T, and Nutanix NCM/AHV).
 </li>
 <li>
 Lead cloud modernization, migration, and transformation initiatives.
 </li>
 <li>
 Implement and manage Infrastructure as Code (IaC) using Terraform, Bicep, ARM, and GCP Deployment Manager.
 </li>
 <li>
 Develop cloud landing zones, networking architectures, and identity/security integration.
 </li>
 <li>
 Support multi-cloud workload deployment, containerization, and VM-based compute models.
 </li>
 <li>
 Ensure resilient architectures with HA/DR, backup, and failover strategies.
 </li>
 <li>
 Manage daily cloud operations, monitoring, and incident response.
 </li>
 <li>
 Troubleshoot complex hybrid/multi-cloud issues across compute, network, and storage.
 </li>
 <li>
 Review architectural documents, diagrams, and solution designs.
 </li>
 <li>
 Deliver technical design documents, governance frameworks, and presentations.
 </li>
 <li>
 Provide guidance for migrations, including AVS (Azure VMware Solution) and GCVE (Google Cloud VMware Engine).
 </li>
 </ul>
 <ol>
 <li>
 Communication / Documentation
 </li>
 </ol>
 <ul>
 <li>
 Collaborate with cross-functional teams to ensure alignment on cloud and hybrid architecture requirements.
 </li>
 <li>
 Create detailed architecture blueprints, cloud standards, and operating procedures.
 </li>
 <li>
 Maintain documentation for cloud deployments, changes, governance, and audit requirements.
 </li>
 <li>
 Participate in design reviews, technical workshops, and knowledge transfer sessions.
 </li>
 </ul>
 <ol>
 <li>
 Problem Solving &amp; Optimization
 </li>
 </ol>
 <ul>
 <li>
 Collaborate with cross-functional teams to ensure alignment on cloud and hybrid architecture requirements.
 </li>
 <li>
 Create detailed architecture blueprints, cloud standards, and operating procedures.
 </li>
 <li>
 Maintain documentation for cloud deployments, changes, governance, and audit requirements.
 </li>
 <li>
 Participate in design reviews, technical workshops, and knowledge transfer sessions.
 </li>
 </ul>
 
 Knowledge, Experience &amp; Requirements
 
 <ul>
 <li>
 5 years' experience in Azure Cloud management
 </li>
 <li>
 3 years' experience in Google Cloud management
 </li>
 <li>
 3 years' experience in Cloud Virtualization management and High Availability management
 </li>
 </ul>
 
 Job Specific Technical Skills
 
 <ul>
 <li>
 Deep knowledge of networking: VNET/VPC design, routing, subnetting, VPN, ExpressRoute, Interconnect, load balancers, firewalls.
 </li>
 <li>
 Multi-cloud and hybrid-cloud architecture expertise.
 </li>
 <li>
 In-depth experience with HCI platforms: VMware &amp; Nutanix NCM.
 </li>
 <li>
 Strong proficiency in automation &amp; IaC (Terraform, ARM, Bicep, Deployment Manager).
 </li>
 <li>
 Expertise with cloud security, identity, governance, Zero Trust, and compliance frameworks.
 </li>
 <li>
 Hands-on experience in monitoring tools, observability, and cloud operations (Azure Monitor, GCP Operations Suite, vRealize, Nutanix Prism).
 </li>
 <li>
 Strong documentation, design, and communication skills.
 </li>
 </ul>
</div>

Cloud Architect

Confidential

<div>
 
 
 Azure Cloud Architect + DevOps Engineer
 
 
 
 
 
 
 
 About the role
 
 
 
 Our entire stack runs on Azure Container Apps, App Services, Function Apps, Azure AI Search, Cosmos DB for PostgreSQL, Azure Database for PostgreSQL, Storage, Service Bus, Front Door plus an edge CDN provider (e.g. Cloudflare) for our public domains. We need one person who lives at the intersection of cloud architecture (designing the next major change) and operational DevOps (running the pipelines, the network, the cost, the security every day). You are not a platform-team-of-five behind a ticket queue; you are a builder / operator who owns the cloud end-to-end and partners with engineering to ship faster and cheaper.
 
 
 
 
 
 
 What you'll do
 
 
 
 
 Architecture
 
 
 
 &bull; Own the Azure architecture diagram across the platform and keep it current.
 
 
 &bull; Design changes to topology as the product grows (new container apps, replicas / autoscale rules, search-index sharding, queue strategies, multi-region considerations).
 
 
 &bull; Approve major infrastructure changes from engineering schema migrations on shared DBs, new public endpoints, new secrets in Key Vault, cross-service dependencies.
 
 
 &bull; Define and enforce naming conventions, resource tagging (cost centre, environment, owner), and resource-group structure across subscriptions.
 
 
 
 
 
 
 Networking &amp; edge
 
 
 
 &bull; Manage DNS (public domains and internal Azure DNS zones).
 
 
 &bull; Own Azure Front Door profiles origins, routes, rules, custom domains, SSL / TLS.
 
 
 &bull; Manage the edge CDN provider (e.g. Cloudflare) for public surfaces DNS, page rules, caching, purge workflows, security rules.
 
 
 &bull; Azure Application Gateway where still in play.
 
 
 &bull; WAF policies rule tuning, false-positive triage, blocking abusive traffic without blocking real users.
 
 
 &bull; Plan and execute domain migrations, certificate renewals, and edge cache strategy.
 
 
 
 
 
 
 DevOps &amp; CI/CD
 
 
 
 &bull; Own Azure DevOps Pipelines build / test / release templates, service connections, variable groups, environment approvals, artifact retention.
 
 
 &bull; Container build optimisation (image size, layer cache, build time), ACR retention policies.
 
 
 &bull; Deployment strategies blue / green via container-app revisions, canary rollouts, rollback playbooks.
 
 
 &bull; Pipeline templates that every engineering team can reuse without copy-paste.
 
 
 &bull; Secret management Key Vault references, rotating credentials, getting secrets out of .env files.
 
 
 
 
 
 
 FinOps / cost optimisation
 
 
 
 &bull; Continuously audit Azure spend across all subscriptions and bring monthly cost reports to leadership.
 
 
 &bull; Identify and execute cost-cutting moves right-sizing container apps, reserving compute where stable, switching tiers, killing zombie resources, reviewing egress / CDN charges.
 
 
 &bull; Quantify cost-versus-performance trade-offs for any proposed architecture change.
 
 
 
 
 
 
 Must-have experience
 
 
 
 &bull;
 
 6+ years
 
 in Azure as primary cloud (not someone who learned it last year).
 
 
 &bull; Azure services mastery: Container Apps, App Services, Function Apps, ACR, AKS basics, Azure Database for PostgreSQL, Cosmos DB for PostgreSQL (Citus), Storage Blob, Service Bus, Key Vault, Application Insights, Log Analytics.
 
 
 &bull; Azure Front Door (Standard + Premium) deep configuration experience.
 
 
 &bull; Edge CDN provider (e.g. Cloudflare) at the operational level zone management, page rules, firewall rules, cache purge, API automation.
 
 
 &bull; WAF rule design and tuning (Azure FD WAF or equivalent).
 
 
 &bull; DNS at scale public, private, split-horizon, NS delegation.
 
 
 &bull; Azure DevOps Pipelines YAML templates, multi-stage pipelines, service connections (and the permission politics of who can create them).
 
 
 &bull; Networking fundamentals VNet, NSG, peering, private endpoints, service endpoints.
 
 
 &bull; Strong scripting: Bash, PowerShell, Python; comfortable with the Azure CLI.
 
 
 &bull; IaC: Bicep or Terraform (at least one in production), and ARM as a fallback when reading legacy.
 
 
 &bull; FinOps practice has actually saved money in a prior role, not just read about it.
 
 
 
 
 
 
 Nice to have
 
 
 
 &bull;
 
 Azure certifications (AZ-104 / AZ-305 / AZ-400).
 
 
 
 &bull; Multi-subscription tenant management with Entra ID (formerly Azure AD).
 
 
 &bull; Kubernetes (AKS) even if not currently in use.
 
 
 &bull; SRE practices SLOs, error budgets, on-call rotations.
 
 
 &bull; Observability beyond App Insights Grafana, Datadog, ELK stacks.
 
 
 &bull; Database operations background (PostgreSQL HA, replication, point-in-time restore).
 
 
 &bull; Security background (CIS benchmarks, vulnerability scanning, container scanning).
 
</div>

PROZ TECHNOLOGIES

IT Solution Architect (Microsoft Azure)Job SummaryWe are seeking an experienced IT Solution Architect to design and oversee end-to-end technology solutions using Microsoft Azure. The successful candidate will be responsible for translating business requirements into scalable, secure, high-performing, and cost-effective cloud solutions while ensuring alignment with enterprise architecture standards and best practices.This role requires strong expertise in Azure cloud architecture, solution design, integration, security, governance, and cloud modernization initiatives.Key Responsibilities<ul><li>Design end-to-end cloud solutions using Microsoft Azure that meet business, technical, security, and performance requirements.</li><li>Analyze business needs and translate them into scalable, secure, and cost-effective solution architectures.</li><li>Define application, data, integration, and infrastructure architectures aligned with enterprise standards.</li><li>Select appropriate Azure services and ensure their optimal utilization.</li><li>Incorporate security, identity, networking, governance, and compliance requirements into solution designs.</li><li>Support cloud migration and modernization of existing applications and infrastructure.</li><li>Provide architectural guidance and technical leadership to development, infrastructure, and project teams.</li><li>Review technical designs and documentation to ensure consistency, quality, and compliance with standards.</li><li>Design solutions for high availability, disaster recovery, backup, and business continuity.</li><li>Optimize cloud solutions for performance, scalability, reliability, and cost efficiency.</li><li>Maintain architecture diagrams, technical documentation, and standards.</li><li>Collaborate closely with security, DevOps, data, infrastructure, and operations teams to ensure successful delivery.</li></ul>Required Skills &amp; Qualifications<ul><li>Strong expertise in Microsoft Azure architecture and cloud services.</li><li>Experience with cloud networking, identity management, security, governance, and compliance.</li><li>Solid understanding of application architecture, APIs, microservices, and system integrations.</li><li>Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC).</li><li>Strong analytical, architectural, and problem-solving abilities.</li><li>Excellent communication and stakeholder management skills.</li></ul>Education &amp; Experience<ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>5&ndash;8 years of experience in IT architecture, solution design, cloud architecture, or related roles.</li><li>Hands-on experience designing and implementing enterprise-scale Azure solutions.</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>Microsoft Certified: Azure Administrator Associate</li><li>Microsoft Certified: Azure Developer Associate</li></ul>Preferred Experience<ul><li>Experience working in hybrid-cloud or multi-cloud environments.</li><li>Exposure to enterprise integration, cloud governance, and large-scale digital transformation initiatives.</li></ul>Pay: Up to QAR14,000.00 per monthWork Location: In person

IT Solution Architect (Microsoft Azure)

QatarEnergy

<div>Primary Purpose of the Job:

The Senior Digital Architect is responsible for designing, implementing, and maintaining Cloud digital platforms across the organization. This role focuses on enhancing enterprise analytics capabilities by integrating AI/ML models, emerging technologies, and large-scale data processing frameworks to drive data-driven decision-making and operational efficiency. Additionally, the digital architect will collaborate with business and technical teams to accelerate digital transformation, streamline data governance, and adopt emerging technologies to drive continuous innovation.<h1 class="jobSectionHeader">
Principle Accountabilities:</h1><ul><li>
Design scalable, secure, and cloud-native architecture frameworks for AI/ML solutions, including MLOps pipelines, model deployment infrastructure, and integration patterns.</li><li>
Establish architectural guidelines for implementing generative AI solutions, including safety measures and ethical considerations.</li><li>
Design scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.</li><li>
Define technical standards for model deployment, monitoring, and maintenance.</li><li>
Identify and evaluate industry-specific data and AI platforms, Auto-ML tools to fit business use cases and derive value.</li><li>
Partner with business stakeholders to understand requirements and translate them into technical solutions</li><li>
Establish governance frameworks for AI model lifecycle management</li><li>
Assess technical and Information security risks and provide mitigation strategies in the implementation of digital solutions</li><li>
Audit AI tools and practices across data, models and engineering, focusing on continuous improvement and feedback mechanisms.</li><li>
Provide strategic and technical guidance to stakeholders regarding digital solutions, cloud architecture, and platform optimizations.</li><li>
Stay updated on emerging technologies and apply cloud-native, AI/ML-driven solutions, automation tools to foster innovation in business processes.</li></ul>
Required Experience and Skills:

AI/ML Expertise<ul><li>
8+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector.</li><li>
Proven track record of designing and implementing enterprise-scale AI/ML architecture/solutions.</li><li>
5+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment.</li><li>
Proficient in large language models and generative AI implementations.</li><li>
Experience in prompt engineering, RAG, and fine-tuning to optimize model performance and response accuracy.</li><li>
Experienced with real-time ML systems and edge computing.</li></ul> 
MLOps and DataOps<ul><li>
Strong knowledge of MLOps practices and tools.</li><li>
Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation.</li><li>
Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes).</li></ul> 
Cloud and Architecture<ul><li>
Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices-driven architectures.</li><li>
Experience in designing scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.</li><li>
Working knowledge of system integration approaches, modern data architectures, and cloud-native application design.</li></ul> 
Governance and Compliance<ul><li>
In-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings.</li><li>
Knowledgeable in AI/ML regulatory compliance.</li></ul> 
Communication and Collaboration
Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions
Educational Qualifications:
<ul><li>A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.</li><li>
Advanced degrees (Master's or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable</li></ul></div>

SR. DIGITAL ARCHITECT

Iberdrola

<div>Iberdrola Innovation Middle East, we are building a suite of highly scalable, cloud-native SaaS products and need a hands-on Senior Software Developer to lead the technical change within one of our core development squads. We are looking for a true builder, someone who loves to write clean, efficient code, understands how to scale applications to handle multi-tenant workloads, and has engineering best practices (CI/CD, automated testing) coded into his/her DNA. You will not only be the technical anchor for your small team of developers, guiding them by example, but you will also collaborate closely with senior developers from other squads to ensure our entire platform shares a cohesive, modern technology stack.
<ul><li>Primary mission : Lead the hands-on development of scalable, cloud-native SaaS features while setting the standard for code quality, automation, and technical alignment within your squad.
</li><li>Key stakeholders : Squad Software Developers, Product Manager, Data/AI Engineers, and Senior Developers from other squads.
</li><li>Employment type : Full-time
</li></ul>Jobs To Be Done
<ul><li>Hands-on Backend Development: Write robust, scalable, and maintainable backend code (primarily Java) for our core SaaS features, ensuring the underlying services can seamlessly handle high-traffic, multi-tenant growth.</li>
<li>Engineering Excellence &amp; Automation: Champion and implement automated testing, continuous integration, and continuous deployment (CI/CD) pipelines within the squad. Ensure that quality, security, and deployment automation are treated as foundational requirements, not afterthoughts.</li>
<li>Cross-Squad Technical Alignment: Collaborate frequently with senior developers from the other squads. Share knowledge, align on common technical patterns, and ensure your squad's deliverables integrate perfectly into the broader cloud platform.</li>
<li>System Design &amp; Implementation: Make pragmatic decisions about the right tools for the job. Design efficient APIs (REST and/or GraphQL), build containerized microservices (Docker), and select the most appropriate data storage solutions (SQL vs. NoSQL) based on specific use cases.</li>
<li>Cross-functional Integration: Work closely with Data Engineers and Data Scientists, leveraging your foundational understanding of Python, to seamlessly integrate AI models and data pipelines into the core SaaS application.</li>
<li>Technical Mentorship: Act as the technical anchor for a small team of developers. Guide them through complex coding challenges, conduct rigorous code reviews, and foster a culture of continuous learning and high-quality software craftsmanship.</li>
</ul>Education Requirements
<ul><li>Minimum: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or equivalent deep, verifiable hands-on software engineering experience.</li>
<li>Preferred: Master&rsquo;s degree or relevant technical certification in Software Engineering or cloud platforms.</li>
<li>Licenses/Accreditations (nice to have): Professional Google Cloud Developer (highly preferred). Other respected technical certifications (e.g., Professional Google Cloud Architect) are a plus.</li>
</ul>Experience
<ul><li>Years of experience: 6&ndash;8+ years of hands-on software engineering, with a strong focus on backend development for scalable web or SaaS applications.</li>
<li>Domain exposure: Cloud environments (Google Cloud preferred, but AWS/Azure is acceptable), microservices, containerization (Docker), API design, and a solid understanding of modern database ecosystems.</li>
<li>Leadership/ownership: Proven experience technically guiding small development teams, owning complex feature deliveries from code to production, and actively driving engineering best practices within a team.</li>
</ul>Skills and Competencies
<ul><li>Technical:</li>
<li>Backend Development (Expert in Java or Node.js; strong preference for Java) &mdash; Must-have</li>
<li>Cloud-Native &amp; Containerization (Docker, Microservices) &mdash; Must-have</li>
<li>Database selection and data modeling (SQL and NoSQL) &mdash; Must-have</li>
<li>API Design &amp; Implementation (REST, GraphQL) &mdash; Must-have</li>
<li>CI/CD, Automated Testing, and Code Quality practices &mdash; Must-have</li>
<li>Foundational Python (enough to understand and collaborate with Data/AI engineers) &mdash; Must-have</li>
<li>Cloud Platforms (Google Cloud / GCP) &mdash; Nice-to-have (highly preferred)</li>
<li>Behavioural: Lead by Example (highly hands-on), Pragmatic Problem-Solving, Team Collaboration, Quality-First Mindset, and excellent communication skills to coordinate with other squads..</li>
<li>Tools/Systems: Git, CI/CD platforms (GitHub Actions, Google Cloud Build, etc.), Docker, Relational and Non-Relational DB engines.</li>
</ul>Why Us
<ul><li>Career growth: Be a technical pillar in a rapidly growing SaaS platform. You will define the engineering culture of your squad, work closely with cutting-edge AI/Data teams, and have the autonomy to build things the right way.</li>
<li>Culture: We have an engineering-first, builder mindset. We value working software and hands-on validation over endless theoretical debates. You will be a key technical leader in an international, highly skilled environment.</li>
<li>Rewards: Competitive tax-free salary in Qatar, comprehensive health benefits, relocation assistance, and modern workplace perks, among others.</li> 
</ul> 
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. 
 
Job Posting End Date: 
 
 
julio-31-2026</div>

Senior Software Developer

Advanced Business Computing

<div>
 
 
 Job Scope
 
 
 
 
 
 
 The
 
 AppDev Consultant
 
 is accountable for managing the post-sales activities by proactively assessing solution specifications in light of changing customer requirements. S/He designs, plans and implements on-premises or cloud solutions for migration, analyzes current on-premises and provides solutions to customers.
 
 
 
 
 
 
 Main Duties and Responsibilities
 
 
 <ul>
 <li>
 Run, manage and drive proof of concepts (
 
 POC
 
 ) and request for proposals (
 
 RFP
 
 ) and close opportunities from a presales and implementation perspective
 </li>
 <li>
 Help customers architect scalable, highly available application solutions that leverage Microsoft services
 </li>
 <li>
 Work as a technical consultant alongside customer business, development and infrastructure teams
 </li>
 <li>
 Work as both an infrastructure and application development specialist
 </li>
 <li>
 Implement DevOps practices such as infrastructure, continuous integration and automated deployment
 </li>
 <li>
 Participate in design, development, review and test efforts for App &amp; Data Modernization
 </li>
 <li>
 Ensure efficient functioning of data storage and process functions in accordance with the company security policies and best practices in cloud security
 </li>
 <li>
 Provide deep software architecture knowledge with respect to cloud architecture and design patterns
 </li>
 <li>
 Identify, analyze and resolve infrastructure vulnerabilities and application deployment issues
 </li>
 <li>
 Collaborate with engineering and development teams to evaluate and identify optimal cloud solutions
 </li>
 <li>
 Create and execute a roadmap to modernize applications and move them to Azure
 </li>
 <li>
 Use ARM, Azure Policy, Blueprints and other technologies as part of integrated deployment pipelines for new solutions in Azure
 </li>
 <li>
 Contribute to internal R&amp;D projects and play an active role in the broader community
 </li>
 <li>
 Adhere to New Signature and Client Information Security policies and ensure compliance at all times
 </li>
 <li>
 Maintain and update technical qualifications to provide intensive technical consulting to prospective customers
 </li>
 <li>
 Lead technical sales calls
 </li>
 </ul>
 
 
 
 
 
 Position Requirements
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science or any other related field
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 At least 3 to 4 years of relevant experience in Google Cloud database migration and pre-sales / post-sales / Cloud / DB Specialist
 </li>
 <li>
 Database experience (Oracle, SQL Server, MySQL) along with hands-on cloud migration exposure and relevant Google Cloud certifications.
 </li>
 <li>
 Certifications preferred: Google Cloud Professional Cloud Database Engineer / Architect
 </li>
 </ul>
 
 
</div>

Applications & DevOps Consultant

Multiverse Computing

<div>Multiverse Computing<div>
Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials.</div><div>
Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.</div><div>
Why join us?
 
 
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide &mdash; compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50&ndash;80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible &mdash; and being part of a company often described as a &ldquo;quantum-AI unicorn in the making.&rdquo;</div><div>
This opportunity is to work from Qatar. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers&rsquo; needs, crafting innovative, scalable, and robust AI- powered solutions.</div><div>
Key requirements:</div><ul><li>
Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)</li><li>
Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.</li><li>
Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.</li><li>
Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.</li><li>
Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).</li><li>
Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).</li><li>
Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).</li><li>
Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>
Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.</li><li>
Must be available to travel as needed for meetings, conferences, and project requirements.</li><li>
Languages: Arabic and English</li></ul><div> 
Preferred Qualifications:</div><ul><li>
Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.</li><li>
Experience with AI model optimization, quantization, or deployment to edge devices.</li><li>
Hands-on experience designing RAG pipelines and/or multi-agent systems..</li><li>
Experience designing data architectures (batch &amp; streaming) and working with big data technologies.</li><li>
Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.</li></ul>
Location: Applicants must have legal authorization to work in the country where the position is based<div> 
Perks &amp; Benefits:</div><ul><li>
Equal pay guaranteed.</li><li>
Signing bonus.</li><li>
Relocation package (if applicable).</li><li>
Eligibility for educational budget according to internal policy.</li><li>
Hybrid opportunity.</li><li>
Flexible working hours.</li><li>
Language classes and discounted lunch options</li><li>
Working in a high paced environment, working on cutting edge technologies.</li><li>
Career plan. Opportunity to learn and teach.</li></ul><div>
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.</div></div>

Mid/Senior Solution Architect - Qatar

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25 cloud architect jobs In Doha

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SR. DIGITAL ARCHITECT

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Applications & DevOps Consultant

Mid/Senior Solution Architect - Qatar