You are an experienced Azure Cloud Specialist with advanced development skills in .NET and Go (Golang), possessing solid hands-on experience in Azure-native cloud architecture. Your primary responsibility will be designing, developing, and deploying scalable applications and services using Microsoft Azure. Additionally, you must have strong database skills with Azure PostgreSQL, Azure SQL, and Databricks. Your role includes implementing secure networking, hybrid cloud integrations, and full lifecycle DevOps pipelines within enterprise environments. You will be involved in building and deploying cloud-native applications using .NET and Go, following best practices for scalability and maintainability. In terms of Azure Platform Architecture, you will architect and implement services using Azure Kubernetes Service (AKS), Service Fabric, Service Bus, API Management, and Azure Functions. You will also design auto-scaling environments using Azure VM Scale Sets, App Services, and Load Balancers while managing Azure Key Vault for secure secrets and certificate storage. Database Engineering is a crucial aspect of the role, involving designing and optimizing database schemas using Azure Database for PostgreSQL, Azure SQL, and Databricks. You will implement data replication, backup, high availability, and disaster recovery strategies. Networking & Hybrid Integration tasks include configuring and managing Azure Virtual Networks, NSGs, Application Gateways, and ExpressRoute circuits. You will integrate on-premises infrastructure with Azure using hybrid cloud models, including VPN Gateways and AD Connect. Security & Monitoring are essential components where you will apply enterprise-grade security using Microsoft Sentinel, Azure Security Center, and RBAC policies. Ensuring environment compliance with industry standards and internal policies is vital. DevOps Enablement will require setting up CI/CD pipelines using Azure DevOps, Terraform, and GitHub Actions. You will containerize applications and manage deployments on AKS and Docker-based environments. Collaboration & Communication skills are vital for documenting architectures, workflows, and deployment models clearly. You must work across teams to understand requirements and deliver secure, performant, and scalable solutions. To excel in this role, you should have 5+ years of experience in cloud-native software development with .NET (C#) and Go, along with 3+ years of hands-on experience with Microsoft Azure. Strong expertise in various Azure services, database technologies, networking, security, and DevOps practices is required. Additionally, excellent communication and collaboration skills are necessary. Preferred certifications include Microsoft Certified: Azure Solutions Architect Expert, Azure Administrator Associate, Azure Developer Associate, Azure Database Administrator Associate, Azure Security Engineer Associate, and DevOps Engineer Expert.,
Azure Cloud Specialist .NET and Golang Location: Dubai, UAE Department: Cloud Engineering & DevOps Reporting To: Head of Cloud and Infrastructure Employment Type: Full-time Job Summary: We are seeking an experienced and versatile Azure Cloud Specialist with advanced development skills in .NET and Go (Golang), and solid hands-on experience in Azure-native cloud architecture. The ideal candidate will be adept at designing, developing, and deploying scalable applications and services using Microsoft Azure, while also possessing strong database skills with Azure PostgreSQL, Azure SQL, and Databricks. This role also involves implementing secure networking, hybrid cloud integrations, and full lifecycle DevOps pipelines within enterprise environments. Key Responsibilities: Application Development: Build and deploy cloud-native applications using .NET and Go, following best practices for scalability and maintainability. Azure Platform Architecture: Architect and implement services using Azure Kubernetes Service (AKS), Service Fabric, Service Bus, API Management, and Azure Functions. Design auto-scaling environments using Azure VM Scale Sets, App Services, and Load Balancers. Manage Azure Key Vault for secure secrets and certificate storage. Database Engineering: Design and optimize database schemas using Azure Database for PostgreSQL, Azure SQL, and Databricks. Implement data replication, backup, high availability, and disaster recovery strategies. Networking & Hybrid Integration: Configure and manage Azure Virtual Networks, NSGs, Application Gateways, and ExpressRoute circuits. Integrate on-premises infrastructure with Azure using hybrid cloud models, including VPN Gateways and AD Connect. Security & Monitoring: Apply enterprise-grade security using Microsoft Sentinel, Azure Security Center, and RBAC policies. Ensure environment compliance with industry standards and internal policies. DevOps Enablement: Set up CI/CD pipelines using Azure DevOps, Terraform, and GitHub Actions. Containerize applications and manage deployments on AKS and Docker-based environments. Collaboration & Communication: Document architectures, workflows, and deployment models clearly. Work across teams to understand requirements and deliver secure, performant, and scalable solutions. Required Skills & Experience: 5+ years of experience in cloud-native software development with .NET (C#) and Go. 3+ years of hands-on experience with Microsoft Azure. Strong experience with: Azure Kubernetes Service, Service Fabric, API Management, Azure Functions Azure PostgreSQL, Azure SQL, Cosmos DB, Databricks Azure Networking VNETs, ExpressRoute, DNS, NSGs, Hybrid Setups Key Vault, Security Center, Microsoft Sentinel CI/CD using Azure DevOps and Infrastructure as Code (IaC) tools like Terraform or Bicep Strong understanding of microservices, RESTful APIs, and distributed systems. Excellent communication and cross-functional collaboration skills. Preferred Certifications: ? Microsoft Certified: Azure Solutions Architect Expert ? Microsoft Certified: Azure Administrator Associate ? Microsoft Certified: Azure Developer Associate ? Microsoft Certified: Azure Database Administrator Associate (with PostgreSQL or SQL Server) ? Microsoft Certified: Azure Security Engineer Associate ? Microsoft Certified: DevOps Engineer Expert Show more Show less
You are a Front-End Engineer based in Dubai with a passion for creating next-generation user experiences through immersive UI frameworks. Your role involves integrating 3D avatars, AI-driven Text-to-Speech (TTS), Speech-to-Text (STT) technologies, WebRTC, and WebSocket infrastructures to develop media-rich applications on web and mobile platforms. Your responsibilities include building advanced front-end applications using technologies like React.js, Vue.js, Next.js, and TypeScript. You will work on integrating 3D avatars with real-time voice interaction using AI-based TTS and STT engines, connecting WebSocket-based real-time speech and interaction flows, handling media streaming, WebRTC, and low-latency audio/video processing within the browser, and collaborating with back-end and AI/ML teams to enhance user experience. In addition, you will embed Unity or Unreal Engine experiences into the UI cloud rendering, develop mobile apps using React Native, translate Figma designs into front-end components, implement telemetry and logging strategies, support unit testing and test automation, and contribute to SDLC best practices, CI/CD pipelines, and Agile delivery. To be successful in this role, you should have 3-6 years of professional experience in front-end development, advanced knowledge of React.js, Vue.js, Next.js, TypeScript, and Tailwind CSS, understanding of video/audio streaming, WebRTC, HLS, or DASH, experience with WebSocket servers, Unity or Unreal Engine integration, React Native development, front-end telemetry, and test automation. Familiarity with SDLC practices and Agile delivery using Azure DevOps is also required. Nice to have skills include a background in WebGL, 3D rendering, pixel streaming, low-latency media architecture, experience optimizing media playback, understanding of accessibility (WCAG), and responsive UI performance best practices.,
About the Role We are looking for a skilled and hands-on Azure Infrastructure Engineer based in Kuwait , with strong expertise in cloud-native infrastructure architecture and deployment on Microsoft Azure. The ideal candidate will have deep experience in setting up and managing Azure Landing Zones, designing enterprise-grade networks, implementing Kubernetes (AKS) clusters, configuring ExpressRoute, and working with Azure Stack, CLI, and infrastructure-as-code tooling. This is a pure infrastructure engineering role requiring direct technical execution, system design, troubleshooting, and secure provisioning across hybrid and multi-region environments. Key Responsibilities Design, configure, and manage Azure Landing Zones, including identity, policy, subscription structure, network topology, and security controls Deploy and manage Azure Kubernetes Service (AKS) clusters including node pools, autoscaling, ingress controllers, and identity integrations Implement and optimize networking infrastructure including vNets, Subnets, NSGs, Azure Firewall, Application Gateways, and Private Endpoints Set up hybrid connectivity via ExpressRoute, VPN gateways, vNet peering, and Site-to-Site/IPSec tunnels Work with Azure AI Foundry infrastructure requirements, model hosting environments, and access/security isolation Use Azure CLI, PowerShell, and Infrastructure-as-Code (ARM templates, Bicep) to automate provisioning and configuration Configure and manage Azure Stack Hub and hybrid cloud deployments Implement monitoring and diagnostics using Azure Monitor, Log Analytics, and Network Watcher Ensure systems meet high availability, backup, DR, and security standards Collaborate with architects and security teams to validate designs and enforce guardrails Maintain detailed technical documentation (HLDs, LLDs, runbooks) Required Skills & Qualifications Minimum 3 years of hands-on experience in Azure infrastructure engineering roles Proficient with: Azure Landing Zones & CAF Azure Networking (vNet, NSG, UDR, VPN Gateway, ExpressRoute) Kubernetes (AKS) – design, scaling, policies, deployment Azure Stack Hub/Edge, Azure CLI, PowerShell automation Azure Monitor, Log Analytics, diagnostics tooling Strong understanding of hybrid cloud, RBAC, and secure connectivity Experience with IaC (Bicep, ARM, or equivalent) Ability to troubleshoot complex routing/connectivity issues Familiarity with Managed Identities, Key Vault, RBAC Excellent documentation skills Nice to Have Microsoft certifications (AZ-104, AZ-305, AZ-700, AZ-400) Experience with Terraform or GitHub Actions pipelines Exposure to multi-region governance models Knowledge of CIS/NIST compliance standards What We Offer Mission-critical cloud modernization projects in Kuwait Access to the latest Microsoft engineering tools, partner support, and certification tracks Flexible and collaborative work culture focused on excellence Competitive salary, certification sponsorship, and career growth opportunities
Role Overview We are seeking a Senior Python & .NET Engineer with deep expertise in building production-grade, high-volume transaction applications powered by Large Language Models (LLMs). The ideal candidate will have strong experience with Azure Foundry, cloud infrastructure, AI speech, AI-powered search solutions, and legacy data integration. This role requires hands-on engineering excellence across Python and .NET stacks, multi-LLM integration expertise, and the ability to transform legacy data pipelines into modern, AI-ready architectures for mission-critical applications. Key Responsibilities Python & .NET Development: Design, develop, and optimize services, APIs, and microservices using Python (FastAPI, Django, Flask) and .NET Core/C#. LLM Integration: Architect and implement workflows leveraging multiple LLMs (Azure OpenAI, OpenAI, Anthropic, etc.) for production-grade deployments. Azure & Cloud Infrastructure: Build, deploy, and monitor AI workloads on Azure Foundry, ensuring compliance, scalability, and security. Data Integration & Legacy Systems: Create data parsers, DI pipelines, and transformation layers to migrate and process structured/unstructured legacy data. AI Speech (Real-Time): Develop and integrate real-time speech APIs for speech-to-text, transcription, and conversational AI pipelines (Azure Cognitive Services, Whisper, or equivalent). AI Search: Implement semantic and vector-based search to power advanced discovery and retrieval features. High Availability & Scalability: Optimize applications for low latency, high throughput, and millions of daily transactions. Cross-functional Collaboration: Partner with data scientists, cloud architects, and business teams to deliver enterprise-grade AI solutions. Best Practices: Apply software engineering standards, CI/CD, observability, automated testing, and cloud-native architectures. Required Qualifications 10+ years of professional software engineering experience. Expert in Python and .NET (C#, ASP.NET Core) for enterprise application development. Proven experience with Azure Foundry and Azure Cloud infrastructure (Compute, Data, Cognitive Services). Strong expertise in Large Language Models (LLMs) and multi-LLM orchestration for production. Experience building real-time AI Speech systems with speech APIs (STT, TTS, transcription). Hands-on experience with AI Search (vector databases, embeddings, semantic search). Proficiency in data integration (DI) pipelines, ETL/ELT, and parsers for legacy data sources. Strong knowledge of high-volume, transaction-heavy architectures, distributed systems, and microservices. Experience with DevOps practices, containerization (Docker, Kubernetes), CI/CD pipelines. Preferred Skills Familiarity with LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation). Knowledge of data governance and compliance frameworks (HIPAA, GDPR, ISO 27001/27799, SOC 2). Experience with real-time analytics and event-driven architectures (Kafka, Azure Event Hub). Prior work in public sector, justice, or healthcare digital transformation. Advanced system design and debugging skills in both Python and .NET ecosystems. Education Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. Certifications in Azure AI/Cloud or Microsoft .NET/AI engineering are a strong plus. Why Join Us? Build cutting-edge AI applications at national scale in Kuwait. Work with Python + .NET in hybrid AI and enterprise-grade environments. Architect solutions that integrate multi-LLM, speech, and search pipelines into real-world systems. Competitive salary, relocation support, and career growth with a global leader in digital transformation.
Microsoft Azure Cloud Solution Architect Experience Level: 5+ Years Job Type: Full-Time Job Summary: We are seeking a highly skilled and hands-on Azure Cloud Solution Architect with at least 5 years of experience delivering end-to-end cloud solutions across global clients. This role requires deep technical expertise in Microsoft Azure, Sovereign Clouds, solution design, stakeholder engagement, and client-facing delivery. You will be responsible for designing, implementing, and optimizing enterprise-grade cloud architectures that align with client business goals. Key Responsibilities: Lead end-to-end design and architecture of Microsoft Azure cloud solutions across IaaS, PaaS, SaaS, DevOps, and Security. Architect solutions on both public and sovereign clouds, ensuring regulatory and compliance alignment. Translate complex business requirements into scalable, secure, and robust cloud solutions. Deliver hands-on implementation and migration of cloud solutions (Azure AD, VNets, Azure App Services, Key Vault, Logic Apps, etc.). Own the full solution lifecycle—from PoC to production deployment—ensuring quality, scalability, and cost-efficiency. Conduct cloud assessments, gap analysis, and create transformation roadmaps. Collaborate with CXOs, IT Directors, and Enterprise Architects to align technical delivery with business goals. Present architectural solutions clearly to technical and non-technical stakeholders. Build strong client relationships and become a trusted advisor. Work closely with developers, infrastructure engineers, DevOps teams, and security specialists. Provide architectural guidance and mentoring to technical teams. Required Qualifications: Minimum 5 years of hands-on experience in Azure cloud solution architecture and implementation. Deep expertise in Microsoft Azure services (Compute, Networking, Storage, Azure AD, Security, Governance). Experience with Sovereign Clouds (e.g., Azure Government, Azure China, Azure UAE). Strong understanding of cloud security, cost optimization, identity management, and compliance frameworks. Proven experience in solution design documentation, HLD/LLD creation, and implementation plans. Demonstrated excellence in stakeholder management, client communication, and business alignment. Ability to deliver under pressure in fast-paced, global environments. Preferred Skills: Azure Certifications (e.g., AZ-305, AZ-400, AZ-104). Experience in hybrid cloud scenarios and on-prem to cloud migrations. Familiarity with tools such as Terraform, ARM templates, GitHub Actions, Azure DevOps. Exposure to AI, data engineering, and modern app design on Azure is a plus. Soft Skills: Excellent written and verbal communication skills. Strong interpersonal skills and ability to work cross-functionally. Self-motivated with a proactive problem-solving attitude. Join our team to architect modern, secure, and scalable cloud environments that power the digital transformation of global enterprises.
Microsoft Azure Data & AI Engineer (Dot Net & Python) Location: Remote (with travel for projects as needed) Experience Level: Mid-Senior (5+ years) Employment Type: Full-Time Job Summary: We are seeking a highly capable and hands-on Microsoft Azure Data & AI Engineer with a strong foundation in .NET, Python, and modern data and AI technologies. The ideal candidate will architect and deliver intelligent, scalable solutions using Azure’s advanced data and AI capabilities, while collaborating with globally distributed teams. This is a remote role, with occasional travel required for project deployments, workshops, and stakeholder meetings. Key Responsibilities: Design and implement scalable data platforms using Azure services including Azure Data Factory, Synapse Analytics, Data Lake, Azure SQL, and Microsoft Fabric Develop robust ETL/ELT pipelines and real-time data ingestion workflows using Python and/or .NET Build and operationalize AI/ML models using Azure Machine Learning, Cognitive Services, and Azure OpenAI Integrate ML and data services with enterprise applications via APIs and microservices using Python (FastAPI) or .NET Core Collaborate with data scientists, solution architects, and business teams to deploy intelligent solutions Implement security, compliance, and governance measures for sensitive data across Azure workloads Set up and manage CI/CD pipelines with GitHub Actions or Azure DevOps Monitor performance, optimize costs, and ensure high availability of data and AI platforms Required Skills & Experience: 5+ years of experience with Azure Data Services (Data Factory, Data Lake, Synapse, Azure SQL, Cosmos DB) Proficiency in Python and .NET Core for data engineering and backend development Hands-on experience in end-to-end AI/ML pipelines on Azure Machine Learning Understanding of modern data architectures (lakehouse, delta, medallion) and unstructured data processing Exposure to Generative AI tools such as Azure OpenAI and Cognitive Services Knowledge of Power BI, Microsoft Fabric, and advanced data visualization methods Experience with SQL, performance tuning, and large-scale data transformations Familiarity with containerized deployments, DevOps practices, and infrastructure-as-code tools like ARM, Bicep, or Terraform Deep understanding of RBAC, PII/PHI security, data encryption, and Azure governance Preferred Qualifications: Microsoft Certifications (e.g., DP-203, AI-102, AZ-204, AZ-400) Knowledge of LangChain, Vector DBs, or RAG pipelines Experience with Data Mesh, MLOps, or Enterprise AI deployment strategies Soft Skills: Strong communication and stakeholder engagement skills Ability to lead technical discussions and collaborate across time zones Proactive, self-motivated, and detail-oriented Willingness to travel occasionally for project needs Why Join Us: Remote-first culture with flexible work arrangements Opportunity to work on cutting-edge Azure Data & AI projects Cross-industry exposure with global enterprise clients Collaborative, innovative, and high-performance team environment