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
As a highly capable and hands-on Microsoft Azure Data & AI Engineer with a strong foundation in .NET, Python, and modern data and AI technologies, your role will involve architecting and delivering intelligent, scalable solutions using Azure's advanced data and AI capabilities. You will collaborate with globally distributed teams, and occasionally travel for project deployments, workshops, and stakeholder meetings. Key Responsibilities: - Design and implement scalable data platforms using Azure services such as 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. Join us for a remote-first culture with flexible work arrangements, the opportunity to work on cutting-edge Azure Data & AI projects, cross-industry exposure with global enterprise clients, and a collaborative, innovative, and high-performance team environment.,
Azure Infrastructure Engineer About the Role We are looking for a skilled and hands-on Azure Infrastructure Engineer 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 Virtual Networks (vNets), Subnets, Network Security Groups (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 resource 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 are compliant with high availability, backup, disaster recovery (DR), and security standards Collaborate with cloud architects and security teams to validate designs and enforce architectural guardrails Maintain detailed technical documentation, HLDs/LLDs, and environment runbooks Required Skills & Qualifications Minimum 3 years of hands-on experience in Azure infrastructure engineering roles Proficient with: o Azure Landing Zones and Cloud Adoption Framework (CAF) o Azure Networking: vNet, NSG, UDR, VPN Gateway, ExpressRoute o Kubernetes (AKS): Cluster design, scaling, policies, and deployment patterns o Azure Stack Hub/Edge, Azure CLI, and PowerShell automation o Azure Monitor, Log Analytics, and diagnostics tooling Strong understanding of hybrid cloud models, network segmentation, service endpoints, and RBAC Experience with IaC using Bicep, ARM, or equivalent tools Ability to troubleshoot complex cloud issues involving routing, connectivity, and resource provisioning Familiarity with identity and security principles: Managed Identities, Key Vault, and role-based access control Excellent documentation habits with the ability to produce HLDs, LLDs, deployment guides, and SOPs Nice to Have Microsoft certifications (AZ-104, AZ-305, AZ-700, AZ-400) Experience with Terraform or GitHub Actions for IaC pipelines Exposure to multi-region design and governance enforcement Knowledge of cloud security architecture and compliance standards (CIS/NIST) What We Offer Mission-critical projects in cloud modernization and infrastructure transformation Access to the latest tools, partner engineering support, and certification tracks Flexible and collaborative work culture focused on excellence and ownership Competitive salary, certification sponsorship, and technical career growth
Azure Infrastructure Engineer About the Role We are looking for a skilled and hands-on Azure Infrastructure Engineer 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 Virtual Networks (vNets), Subnets, Network Security Groups (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 resource 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 are compliant with high availability, backup, disaster recovery (DR), and security standards Collaborate with cloud architects and security teams to validate designs and enforce architectural guardrails Maintain detailed technical documentation, HLDs/LLDs, and environment runbooks Required Skills & Qualifications Minimum 3 years of hands-on experience in Azure infrastructure engineering roles Proficient with: o Azure Landing Zones and Cloud Adoption Framework (CAF) o Azure Networking: vNet, NSG, UDR, VPN Gateway, ExpressRoute o Kubernetes (AKS): Cluster design, scaling, policies, and deployment patterns o Azure Stack Hub/Edge, Azure CLI, and PowerShell automation o Azure Monitor, Log Analytics, and diagnostics tooling Strong understanding of hybrid cloud models, network segmentation, service endpoints, and RBAC Experience with IaC using Bicep, ARM, or equivalent tools Ability to troubleshoot complex cloud issues involving routing, connectivity, and resource provisioning Familiarity with identity and security principles: Managed Identities, Key Vault, and role-based access control Excellent documentation habits with the ability to produce HLDs, LLDs, deployment guides, and SOPs Nice to Have Microsoft certifications (AZ-104, AZ-305, AZ-700, AZ-400) Experience with Terraform or GitHub Actions for IaC pipelines Exposure to multi-region design and governance enforcement Knowledge of cloud security architecture and compliance standards (CIS/NIST) What We Offer Mission-critical projects in cloud modernization and infrastructure transformation Access to the latest tools, partner engineering support, and certification tracks Flexible and collaborative work culture focused on excellence and ownership Competitive salary, certification sponsorship, and technical career growth
Job Title: Backend Developer – Golang, .NET, C++, C# (Microservices & AI Integration) Location: (Kuwait) Employment Type: Full-Time Experience Level: 2-4 Years About the Role We are seeking a skilled and analytical Backend Developer with strong command over Golang, .NET, C++, and C# to help design, build, and maintain microservices in a high-performance, scalable environment. The ideal candidate has excellent database design skills, thinks through edge cases during service design, and thrives in a startup environment where speed, clarity, and quality matter. You will work closely with product and engineering teams to develop reliable backend systems, integrate AI capabilities, and ensure resilient, observable, and well-documented services—while maintaining excellent communication across time zones. Key Responsibilities Design and develop robust backend services and APIs using Golang, .NET (C#), and C++. Architect and implement event-driven microservices with fault-tolerant messaging. Apply strong relational and non-relational database design skills with attention to performance and integrity. Proactively think through edge cases, failure scenarios, and scalability in service design. Integrate AI features through Azure OpenAI and Cognitive Services. Set up and manage CI/CD pipelines using Azure DevOps. Implement and maintain logging, monitoring, and alerting mechanisms. Maintain clean, well-commented code and follow Git branching and commit standards. Document system behavior, decisions, and usage in Notion. Adhere to TDD practices, and clearly document test strategies and outcomes. Collaborate effectively across competitive, distributed teams in fast-paced environments. Be available for key collaboration windows in PST/EST time zones. Required Skills & Qualifications 2-4 years of backend development experience. Proficient in Golang, .NET (C#), and C++, with solid software engineering fundamentals. Proven experience designing and implementing microservices and event-based architectures. Strong skills in SQL and NoSQL database design, optimization, and management. Experience working with Azure Cloud Services, including App Services, Event Grid, Key Vault, etc. Practical knowledge of integrating AI APIs and services. Hands-on experience with CI/CD workflows using Azure DevOps or GitHub Actions. Proficient in maintaining structured, accessible technical documentation in Notion. Familiarity with Git best practices, including branching strategies, pull requests, and commit hygiene. Strong communication skills with the ability to work across competitive, distributed teams. Flexibility to collaborate during U.S. business hours (PST/EST) as needed. Nice to Have Experience with Docker, Kubernetes, or other container platforms. Exposure to high-scale or multi-tenant applications. Previous experience in early-stage startups or agile product teams. Understanding of secure coding practices and compliance requirements. Why Join Us? Build mission-critical backend systems with cutting-edge AI integration. Join a global, fast-moving team with a startup mindset and enterprise delivery standards. Flexible work hours and remote-first culture. High-impact role with growth potential.
Technical Project Management Executive Location - (Kuwait) Role Overview As a Technical Project Management Executive, you’ll work closely with cross-functional teams to support the planning, execution, and delivery of modern workplace and enterprise technology projects. You’ll gain hands-on experience in analyzing workflows, designing application use cases, managing tasks, and supporting client communications. This role requires strong analytical thinking, problem-solving aptitude, and excellent communication skills. Key Responsibilities Assist in gathering business and technical requirements, analyzing workflows, and supporting solution design discussions. Support Project Managers in scheduling, coordination, task assignment, and daily follow-ups with delivery teams. Contribute to the development of project plans, reports, status updates, and documentation. Participate in client calls, take meeting notes, and ensure clear communication across internal and external stakeholders. Analyze risks, dependencies, and opportunities for project optimization. Help in creating user journey maps, flow diagrams, or functional documentation for apps and automations. Conduct basic quality assurance reviews to ensure deliverables meet standards and client expectations. Explore and recommend modern tools to streamline project collaboration and reporting. Work with Microsoft technologies including Azure, SharePoint, Power Platform, Dynamics 365, and Teams. What We’re Looking For Recent graduate or final-year student in Computer Science, Information Systems, Applied Mathematics, or related field. Strong analytical and critical thinking skills. Excellent written and verbal communication. Interest in technology, project management, and business analysis. Self-driven, curious, and detail-oriented with the ability to multitask in a dynamic environment. Familiarity with Microsoft 365 tools; exposure to Azure, Power BI, or Dynamics 365 is a plus. Preferred Tools & Platforms Exposure (Nice to Have) Microsoft Azure, Power Apps, Power BI, Power Automate Microsoft Teams, SharePoint, Planner JIRA, or Azure DevOps Basic understanding of databases or logic-based apps What You’ll Gain Hands-on exposure to real-world technology delivery projects Opportunity to work with global teams and enterprise clients Foundational skills in agile project management, business analysis, and digital solution design Mentorship from industry professionals and potential full-time conversion for top performers
Technical Project Management Executive Location - (Kuwait) Role Overview As a Technical Project Management Executive, you'll work closely with cross-functional teams to support the planning, execution, and delivery of modern workplace and enterprise technology projects. You'll gain hands-on experience in analyzing workflows, designing application use cases, managing tasks, and supporting client communications. This role requires strong analytical thinking, problem-solving aptitude, and excellent communication skills. Key Responsibilities Assist in gathering business and technical requirements, analyzing workflows, and supporting solution design discussions. Support Project Managers in scheduling, coordination, task assignment, and daily follow-ups with delivery teams. Contribute to the development of project plans, reports, status updates, and documentation. Participate in client calls, take meeting notes, and ensure clear communication across internal and external stakeholders. Analyze risks, dependencies, and opportunities for project optimization. Help in creating user journey maps, flow diagrams, or functional documentation for apps and automations. Conduct basic quality assurance reviews to ensure deliverables meet standards and client expectations. Explore and recommend modern tools to streamline project collaboration and reporting. Work with Microsoft technologies including Azure, SharePoint, Power Platform, Dynamics 365, and Teams. What We're Looking For Recent graduate or final-year student in Computer Science, Information Systems, Applied Mathematics, or related field. Strong analytical and critical thinking skills. Excellent written and verbal communication. Interest in technology, project management, and business analysis. Self-driven, curious, and detail-oriented with the ability to multitask in a dynamic environment. Familiarity with Microsoft 365 tools; exposure to Azure, Power BI, or Dynamics 365 is a plus. Preferred Tools & Platforms Exposure (Nice to Have) Microsoft Azure, Power Apps, Power BI, Power Automate Microsoft Teams, SharePoint, Planner JIRA, or Azure DevOps Basic understanding of databases or logic-based apps What You'll Gain Hands-on exposure to real-world technology delivery projects Opportunity to work with global teams and enterprise clients Foundational skills in agile project management, business analysis, and digital solution design Mentorship from industry professionals and potential full-time conversion for top performers
Solutions Architect – Cloud & AI Department: Digital Advisory / Cloud & AI Practice / Customer Success Location: Remote Employment Type: Full-Time Role Overview: We are looking for a high-impact Solutions Architect – Cloud & AI with strong technical expertise in Microsoft Azure, Google Cloud Platform (GCP), and a sharp focus on Data & AI workloads. The ideal candidate will blend deep cloud knowledge, data-driven architecture design, and change management experience (e.g. Prosci®) to guide clients through successful cloud and AI adoption journeys. You will partner with enterprise and government customers to shape data modernization, AI integration, and multi-cloud transformation strategies, ensuring that technology adoption delivers measurable business outcomes. Key Responsibilities: Cloud & AI Architecture Design and deliver scalable, secure, and high-performance Data & AI solutions on Microsoft Azure and GCP. Lead technical discovery, data estate modernization planning, AI integration (Azure OpenAI, Copilot, ML models), and solution architecture for strategic initiatives. Support the full lifecycle of AI workloads: ingestion, data lake design, Azure Synapse/Databricks, model training, deployment, and governance. Customer Success & Adoption Strategy Drive customer adoption through proactive engagement, capability mapping, onboarding, enablement, and sustained success planning. Apply Prosci® or equivalent change management methodologies to guide adoption, stakeholder alignment, and organizational readiness. Facilitate executive alignment workshops, hands-on innovation labs, and design thinking sessions to accelerate time-to-value. Translate business priorities into a future-ready technical roadmap that integrates with security, compliance, and data governance practices. Client Engagement & Transformation Enablement Serve as a trusted advisor and technical strategist to C-level executives, technical teams, and business owners. Build deep relationships across client organizations to understand pain points, identify risks, and propose innovative, AI-powered solutions. Act as the client’s voice internally—collaborating with product, engineering, support, and delivery teams to drive resolution, evolution, and excellence. Monitor KPIs related to adoption, usage, and satisfaction, and adjust strategies to ensure long-term value realization. Emerging Tech Leadership & Thought Partnership Stay up to date with the latest in Azure AI, GCP Vertex AI, Fabric, LLMs, Copilot, Microsoft Fabric, and Responsible AI principles. Evangelize best practices for AI governance, MLOps, and data privacy (GDPR, HIPAA, local compliance) across client engagements. Contribute to internal knowledge-sharing, solution accelerators, and reusable frameworks around Data & AI. Qualifications & Skills: Required: 6+ years in client-facing roles in technical consulting, architecture, or cloud solution delivery. Deep, hands-on experience in Microsoft Azure, particularly in Data & AI services (Azure Synapse, Azure ML, Azure Data Factory, OpenAI, Cognitive Services). Strong working knowledge of GCP Data & AI stack (BigQuery, Vertex AI, Looker, etc.). Demonstrated experience leading adoption strategy and change management, including working knowledge of Prosci®, ADKAR®, or other organizational change frameworks. Exceptional presentation, facilitation, and stakeholder management skills. Design thinking mindset with the ability to translate business needs into scalable architectures. Experience leading workshops, briefings, or innovation labs. Preferred: Certifications: AZ-104, AZ-305, AI-102, DP-203, GCP Associate/Professional certifications, Prosci® certification. Familiarity with Microsoft Fabric, Databricks, and AI model lifecycle tools. Experience working with government, healthcare, regulated industries, or public sector clients.
Solutions Architect – Cloud & AI Department: Digital Advisory / Cloud & AI Practice / Customer Success Location: Remote Employment Type: Full-Time Role Overview: We are looking for a high-impact Solutions Architect – Cloud & AI with strong technical expertise in Microsoft Azure, Google Cloud Platform (GCP), and a sharp focus on Data & AI workloads. The ideal candidate will blend deep cloud knowledge, data-driven architecture design, and change management experience (e.g. Prosci®) to guide clients through successful cloud and AI adoption journeys. You will partner with enterprise and government customers to shape data modernization, AI integration, and multi-cloud transformation strategies, ensuring that technology adoption delivers measurable business outcomes. Key Responsibilities: Cloud & AI Architecture Design and deliver scalable, secure, and high-performance Data & AI solutions on Microsoft Azure and GCP. Lead technical discovery, data estate modernization planning, AI integration (Azure OpenAI, Copilot, ML models), and solution architecture for strategic initiatives. Support the full lifecycle of AI workloads: ingestion, data lake design, Azure Synapse/Databricks, model training, deployment, and governance. Customer Success & Adoption Strategy Drive customer adoption through proactive engagement, capability mapping, onboarding, enablement, and sustained success planning. Apply Prosci® or equivalent change management methodologies to guide adoption, stakeholder alignment, and organizational readiness. Facilitate executive alignment workshops, hands-on innovation labs, and design thinking sessions to accelerate time-to-value. Translate business priorities into a future-ready technical roadmap that integrates with security, compliance, and data governance practices. Client Engagement & Transformation Enablement Serve as a trusted advisor and technical strategist to C-level executives, technical teams, and business owners. Build deep relationships across client organizations to understand pain points, identify risks, and propose innovative, AI-powered solutions. Act as the client’s voice internally—collaborating with product, engineering, support, and delivery teams to drive resolution, evolution, and excellence. Monitor KPIs related to adoption, usage, and satisfaction, and adjust strategies to ensure long-term value realization. Emerging Tech Leadership & Thought Partnership Stay up to date with the latest in Azure AI, GCP Vertex AI, Fabric, LLMs, Copilot, Microsoft Fabric, and Responsible AI principles. Evangelize best practices for AI governance, MLOps, and data privacy (GDPR, HIPAA, local compliance) across client engagements. Contribute to internal knowledge-sharing, solution accelerators, and reusable frameworks around Data & AI. Qualifications & Skills: Required: 6+ years in client-facing roles in technical consulting, architecture, or cloud solution delivery. Deep, hands-on experience in Microsoft Azure, particularly in Data & AI services (Azure Synapse, Azure ML, Azure Data Factory, OpenAI, Cognitive Services). Strong working knowledge of GCP Data & AI stack (BigQuery, Vertex AI, Looker, etc.). Demonstrated experience leading adoption strategy and change management, including working knowledge of Prosci®, ADKAR®, or other organizational change frameworks. Exceptional presentation, facilitation, and stakeholder management skills. Design thinking mindset with the ability to translate business needs into scalable architectures. Experience leading workshops, briefings, or innovation labs. Preferred: Certifications: AZ-104, AZ-305, AI-102, DP-203, GCP Associate/Professional certifications, Prosci® certification. Familiarity with Microsoft Fabric, Databricks, and AI model lifecycle tools. Experience working with government, healthcare, regulated industries, or public sector clients.
Job Title: Backend Developer (.NET / Azure) Location: Remote Position Type: Full-Time Experience Level: Mid-Level (3 to 6 years) Job Summary: We are looking for a skilled and motivated Backend Developer with hands-on experience in .NET technologies and Microsoft Azure. The ideal candidate will have a solid foundation in backend development, be comfortable working with APIs, databases, and cloud services, and have a passion for writing clean, scalable, and maintainable code. This role is fully remote and suited for someone eager to grow in a fast-paced, enterprise-level environment. Key Responsibilities: Develop and maintain backend services and APIs using C# and .NET (.NET Core or .NET Framework) Implement integrations using Azure services such as Azure Functions, App Services, and Service Bus Work with SQL Server or Oracle databases, writing optimized queries and procedures Contribute to the design of scalable backend architecture using microservices and service-oriented design Participate in code reviews, testing, debugging, and deployment processes Follow best practices for secure, maintainable, and testable code Collaborate with frontend developers, DevOps teams, and solution architects Write technical documentation and support basic troubleshooting in production environments Required Skills and Technologies: 3 to 6 years of backend development experience using C# and .NET technologies Strong understanding of .NET Core and/or .NET Framework Experience working with Azure services such as Azure Functions, Logic Apps, App Services, and Service Bus Familiarity with relational databases (SQL Server, Oracle) and writing SQL / T-SQL queries Good understanding of RESTful APIs and web services Exposure to software development methodologies like Agile or Scrum Knowledge of version control tools such as Git Preferred Skills: Experience in developing event-driven systems or working with message queues Understanding of DevOps pipelines, CI/CD workflows, and basic cloud deployment practices Familiarity with testing frameworks and writing unit tests Exposure to enterprise applications (e.g. Dynamics CRM, SharePoint) is a plus Knowledge of security best practices in API development Education: Bachelor’s degree in Computer Science, Engineering, or a related field Microsoft certifications (optional but preferred) Soft Skills: Strong problem-solving skills and attention to detail Good communication and documentation abilities Self-driven and capable of working independently in a remote environment Willingness to learn and adapt to new technologies Why Join Us: Remote-first work culture with flexible hours Opportunity to work on impactful enterprise-level systems Supportive team environment with strong engineering values Exposure to modern cloud-based architecture and Microsoft technology stack
Job Title: Senior Full Stack Developer (React.js / React Native / Node.js / .NET / Golang) Location: Remote Position Type: Full-Time Experience Level: Senior (5+ years) Job Summary: We are looking for a highly skilled and experienced Senior Full Stack Developer with strong expertise in frontend technologies like React.js, Next.js, and React Native, as well as backend development using Node.js, NestJS, Golang, and .NET. The ideal candidate will be comfortable building scalable, secure, and high-performance web and mobile applications across different industries, including SaaS, real estate, and digital assets. This is a remote position, ideal for someone who thrives in a fast-paced, agile, and collaborative environment. Key Responsibilities: Frontend and Mobile Development Build high-quality, maintainable user interfaces using React.js, Next.js, Tailwind CSS, Chakra UI, and Material UI Develop cross-platform mobile applications using React Native, Flutter, SwiftUI, or Kotlin Implement server-side rendering (SSR) for SEO optimization and improved performance Work closely with UI/UX designers to bring wireframes and mockups to life Backend Development Design and build scalable APIs and backend services using Node.js, NestJS, Golang, or .NET (C#) Integrate secure authentication systems using tools like Auth0 Develop and maintain data models and services using PostgreSQL, MongoDB, MySQL, Prisma ORM Implement RESTful and GraphQL APIs, third-party integrations, and CMS systems like Strapi and Prismic System Architecture and DevOps Apply clean architecture and modular design for complex systems Set up and maintain CI/CD pipelines using Vercel, Docker, Kubernetes, GitHub Actions, or Jenkins Monitor and improve system performance, reliability, and security Work with DevOps and product teams to ensure smooth deployments Required Skills and Qualifications 5 or more years of full stack development experience Strong programming skills in JavaScript, TypeScript, and relevant frameworks Experience building and publishing mobile apps Familiarity with microservices architecture, messaging systems like RabbitMQ, and async workflows Good understanding of both SQL and NoSQL databases Experience with cloud platforms such as AWS or Azure Ability to work independently and communicate clearly in remote setups Bachelor’s degree in Computer Science or related field Preferred Qualifications Experience in multi-tenant systems or white-label platforms Knowledge of Retool, WebSockets, performance monitoring tools Contributions to open-source projects or personal portfolio Familiarity with DevOps practices and container orchestration Languages English (fluent) Why Join Us Work remotely on innovative products across tech verticals Flexible hours and supportive team environment Opportunity to grow within a fast-moving and technology-focused company Exposure to modern tools and architecture across mobile, web, and cloud
Job Title: Backend Developer (.NET / Azure) Location: Remote Position Type: Full-Time Experience Level: Mid-Level (3 to 6 years) Job Summary: We are looking for a skilled and motivated Backend Developer with hands-on experience in .NET technologies and Microsoft Azure. The ideal candidate will have a solid foundation in backend development, be comfortable working with APIs, databases, and cloud services, and have a passion for writing clean, scalable, and maintainable code. This role is fully remote and suited for someone eager to grow in a fast-paced, enterprise-level environment. Key Responsibilities: Develop andmaintainbackend services and APIs using C# and .NET (.NET Core or .NET Framework) Implement integrations using Azure services such as Azure Functions, App Services, and Service Bus Work with SQL Server or Oracle databases, writing optimized queries and procedures Contribute to the design of scalable backend architecture using microservices and service-oriented design Participate in code reviews, testing, debugging, and deployment processes Follow best practices for secure, maintainable, and testable code Collaborate with frontend developers, DevOps teams, and solution architects Write technical documentation and support basic troubleshooting in production environments Required Skills and Technologies: 3 to 6 years of backend development experience using C# and .NET technologies Strong understanding of .NET Core and/or .NET Framework Experience working with Azure services such as Azure Functions, Logic Apps, App Services, and Service Bus Familiarity with relational databases (SQL Server, Oracle) and writing SQL / T-SQL queries Good understanding of RESTful APIs and web services Exposure to software development methodologies like Agile or Scrum Knowledge of version control tools such as Git Preferred Skills: Experience in developing event-driven systems or working with message queues Understanding of DevOps pipelines, CI/CD workflows, and basic cloud deployment practices Familiarity with testing frameworks and writing unit tests Exposure to enterprise applications (e.g.Dynamics CRM, SharePoint) is a plus Knowledge of security best practices in API development Education: Bachelor's degree in Computer Science, Engineering, or a related field Microsoft certifications (optional but preferred) Soft Skills: Strong problem-solving skills and attention to detail Good communicationand documentation abilities Self-driven and capable of working independently in a remote environment Willingness to learn and adapt tonew technologies Why Join Us: Remote-first work culture with flexible hours Opportunity to work on impactful enterprise-level systems Supportive team environment with strong engineering values Exposure to modern cloud-based architecture and Microsoft technology stack