design architect

MBK GROUP

Responsibilities<ul><li>Develop and review architectural and engineering designs</li><li>Ensure designs comply with building codes and safety standards</li><li>Prepare technical drawings, specifications, and reports</li><li>Assist during construction to resolve technical issues</li><li>Support sustainable and energy-efficient building solutions</li><li>Architectural Engineer proficient in Qatar's Building Permit System, with experience in building permit applications, design approvals, regulatory compliance, and coordination with government authorities.&quot;</li><li>Architectural Engineer with 5 years of experience</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in architectural engineering.</li><li>Knowledge of building materials, construction methods, and codes</li><li>Proficiency in CAD/BIM software (AutoCAD, Revit, etc.)</li><li>Strong problem-solving and communication skills</li><li>Ability to work in a team and meet project deadlines</li></ul>Job Type: Full-timeWork Location: In person

Architectural Designer

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

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

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>

Scale AI

<div>
 Scale&rsquo;s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don&rsquo;t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.
 
 
 Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.
 
 
 
 The Mission
 
 
 
 <ul>
 <li>
 Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy.
 </li>
 <li>
 Systemic Evaluation &amp; Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments.
 </li>
 <li>
 Model Optimisation &amp; Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows.
 </li>
 <li>
 Drive Reliability &amp; Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments.
 </li>
 <li>
 Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights.
 </li>
 <li>
 Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments
 </li>
 <li>
 Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty.
 </li>
 <li>
 Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.
 
 
 </li>
 </ul>
 
 Ideally, You Have
 
 
 
 <ul>
 <li>
 Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable.
 </li>
 <li>
 Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system.
 </li>
 <li>
 Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets.
 </li>
 <li>
 Advanced Degree: A Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.
 
 
 </li>
 </ul>
 
 Nice to Haves
 
 
 
 <ul>
 <li>
 Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability.
 </li>
 <li>
 Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases.
 </li>
 <li>
 Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements.
 </li>
 <li>
 Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Machine Learning Engineer, Global Public Sector

SHAHAM GENERAL CONTRACTING W.L.L

As a creative and detail-oriented interior designer, you will be required to engage with clients to understand their unique design needs and goals for a variety of spaces, conceptualize designs in 2D or 3D plans, collaborate with various stakeholders (vendors, architects, contractors, etc., as needed), source materials and oversee the installation of the final design. Your goal is to help clients achieve their practical and aesthetic objectives for the space, while using your expertise to guide the design process, create functional, artful spaces and project manage every design to successful completion.Job Duties of an Interior Designer:<ul><li>Meets with clients to identify goals and requirements for the space to be designed and outlines client design objectives.</li><li>Collaborates with architects, engineers, contractors and other experts to achieve the functional and aesthetic needs of the space.</li><li>Analyzes how people operate and move in the space, as well as patterns of use.</li><li>Conceptualizes design plans and prepares sketches or other visual aids to present designs to the client.</li><li>Creates mood boards to help clients visualize your design.</li><li>Consults with the client to choose materials, furnishings and decor that will help fulfill the requirements and vision of the space.</li><li>Uses design applications to create the final plans to be shared with stakeholders.</li><li>Determines the project timeline, costs and presents accurate estimates to clients.</li><li>Orders or obtains design materials (furnishings, decor, etc.), as needed, to meet the project and budget specifications.</li><li>Oversees the installation of design elements.</li><li>Reviews the project site after final installation to ensure that it meets the original requirements and vision.</li><li>Excellent in the use of relevant design software programs, including AutoCAD and Civil 3D</li><li>Addresses any client complaints or concerts and works to ensure client satisfaction.</li><li>Stays up-to-date about current design trends and materials, techniques, and other developments in the interior design field.</li><li>Performs additional related duties as needed.</li></ul>Interior Design Preferred Skills:<ul><li>Creativity, originality and resourcefulness.</li><li>Attuned to design styles and trends.</li><li>Possesses a keen eye for details.</li><li>Can create and install/or oversee installation of interior designs using a variety of styles, colors, textures, materials, furnishings, etc. to bring aesthetic harmony, form and function to a space.</li><li>Strong organizational, time and project management skills.</li><li>Comfortable with multitasking and working on several projects/priorities at a time.</li><li>Ability to solve problems and execute plans effectively.</li><li>Sketching, visual design and computational abilities.</li><li>Experience using design software.</li><li>Knowledge of building codes and regulations.</li><li>Basic architectural understanding.</li><li>Strong communication, presentation and collaboration skills.</li><li>Capable of articulating your design vision to clients and various stakeholders, contractors, etc.</li><li>Adaptable to changing priorities and needs.</li><li>Desire to meet or exceed client expectations.</li></ul>Interior Design Preferred Education &amp; Experience:<ul><li>Bachelor's degree or certificate in interior design, interior architecture or other applicable area of study.</li><li>Demonstrable design experience (in the form of a portfolio, website, photographs or other).</li><li>Computer-based software design proficiency.</li></ul>Physical Requirements for Interior Designers:<ul><li>Able to communicate clearly and understand others.</li><li>Capable of working on a desktop and/or laptop computer.</li><li>Able to see/sense/feel the difference between colors, shapes, textures, shades and light.</li><li>Can see and distinguish objects at a distance.</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Language:<ul><li>ARABIC (Preferred)</li></ul>Work Location: In person

INTERIOR DESIGNER

Explore 46+ Design architect in Doha this July. Find roles across top companies and apply now to boost your career.

46 design architect jobs In Doha

Architectural Designer

Cloud Architect

SR. DIGITAL ARCHITECT

Senior Software Developer

Cloud Architect

Machine Learning Engineer, Global Public Sector

INTERIOR DESIGNER