We are seeking a Senior DevOps Engineer with strong expertise in the Azure and .NET ecosystem to build and support scalable cloud-native solutions while contributing to technical investigations across applications, infrastructure, and networking layers. Important: Working schedule according to the UAE time zone (GMT+4). Responsibilities Build and support API integrations on Azure API Management (APIM) Develop and optimize policies in XML and C# expressions for authentication, token handling, caching, transformation, routing, rate limiting, and error handling Implement Infrastructure as Code (IaC) using Terraform to provision and maintain environments Deploy, configure, and operate cloud-native services, including Azure Functions, Web Apps, Container Apps, and AKS, applying containerization and Kubernetes orchestration best practices Support and troubleshoot Azure DevOps self-hosted build and deployment agents across on-premises servers, VMSS, and Managed DevOps Pools (MDP), helping ensure agent availability, connectivity, security, and reliable pipeline execution Manage application deployments across Windows and Linux environments Implement and maintain CI/CD pipelines in Azure DevOps Support security and compliance efforts through OAuth 2.0, mutual TLS, SSL/TLS, RBAC, certificate management, and secure API design principles Contribute to technical investigations and root cause analysis across applications, APIs, infrastructure, CI/CD pipelines, and network layers, using logs, traces, and metrics to diagnose issues Troubleshoot end-to-end request flows across clients, WAF, API Management, networking components, and backend services using KQL, Log Analytics, Application Insights, and APIM tracing, and help build monitoring dashboards and alerts Investigate and resolve production incidents, including intermittent failures, performance degradation, connectivity issues, deployment failures, and authentication problems Leverage LLM-powered AI agents and AI-assisted engineering tools to accelerate development, automate repetitive tasks, support technical investigations, and improve operational efficiency while ensuring accuracy and security Requirements 3+ years of experience in DevOps or Site Reliability Engineering Strong analytical, investigation, and problem-solving skills, with experience in systematic troubleshooting, including log analysis, request tracing, network diagnostics, performance analysis, and correlation of events across distributed systems Practical experience using LLM-powered AI agents and AI-assisted development tools for code development, troubleshooting, log analysis, infrastructure automation, scripting, and technical investigations, with proficiency in prompt engineering CI/CD expertise in Azure DevOps, including YAML pipelines, deployment automation, and infrastructure provisioning using Terraform Experience administering and troubleshooting Azure DevOps self-hosted agents, including on-premises agents, VMSS-based agents, and Managed DevOps Pools (MDP) Practical experience deploying, configuring, maintaining, and troubleshooting applications on Windows and Linux servers, including IIS, Nginx, and backend application hosting Hands-on experience in Azure API Management, including developing policies and C# policy expressions Experience with Azure Functions, Azure API Management, AKS/Container Apps, API gateways, Web Apps, and WAF Understanding of Microsoft Entra ID, OAuth 2.0, JWT, mutual TLS, TLS certificates, Azure RBAC, and Azure Key Vault Proficiency in monitoring, diagnostics, and troubleshooting using Application Insights, Log Analytics, and KQL, including distributed tracing Understanding of networking fundamentals, including DNS, HTTP/HTTPS, TCP/IP, TLS handshakes, proxies, load balancers, firewalls, and connectivity troubleshooting Familiarity with REST, SOAP, JSON, and XML, including SPA consumption patterns and CORS considerations .NET development background with experience building, integrating, and troubleshooting APIs and cloud applications, including supporting production environments, handling incidents, performing root cause analysis (RCA), and implementing preventive improvements
