Specialist Infrastructure (Kubernetes, Azure, DevOps-Data & AI)

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Specialist Infrastructure Experience: 5+ Years Location: Abu Dhabi, UAE PURPOSE To design, deploy, maintain, and optimize scalable container infrastructure solutions for the Data & AI department, supporting both on-premises and Azure cloud environments, and ensuring robust, secure, and highly available platforms for data applications and processes. ROLE DESCRIPTION The Specialist Infrastructure in the Data & AI department is responsible for planning, designing, and delivering containerized application infrastructure across on-premises and Azure cloud environments. The primary focus is on generating and maintaining SCDs (Slowly Changing Dimensions), supporting seamless migration of workloads, and ensuring reliability, scalability, and security of the infrastructure. The role demands deep technical expertise with Docker, Kubernetes, Linux, Azure, and DevOps toolchains. You will be instrumental in implementing Infrastructure as Code, externalizing configurations, and producing key operational documentation. Design, build, and maintain secure, highly available container infrastructure for data and AI workloads. Generate, optimize, and manage Slowly Changing Dimensions (SCDs) based on the needs of Data & AI stakeholders. Lead efforts in Docker containerization including creation, deployment, networking, volumes, troubleshooting, and image scanning. Administer, deploy, and troubleshoot Kubernetes clusters (on-premises and Azure AKS), managing all relevant objects such as Deployments, Services, Ingress, ConfigMaps, Secrets, Persistent Volumes, and RBAC. Package, deploy, and manage applications using Helm across multiple environments. Govern Linux-based systems including installation, configuration, patching, monitoring, and troubleshooting. Configure networking (DNS, routing, firewalls, load balancers, proxies, connectivity) in container and Azure environments. Implement and manage storage and persistent volumes, including NFS and on-premises storage solutions. Deploy, configure, and integrate Azure core services (AKS, ACR, VNets, NSGs, Application Gateway, Key Vault, Storage, Azure Monitor). Develop and implement Azure DevOps CI-CD pipelines for automated deployment of containerized workloads. Apply Infrastructure as Code practices using Terraform and Bicep. Administer secrets and configuration management across hybrid environments. Establish application monitoring and logging via Prometheus, Grafana, Azure Monitor, Log Analytics, and Application Insights. Enforce robust container and Kubernetes security practices, including vulnerability management and least-privilege access. Lead and contribute to migration or transition of workloads from on-premises Kubernetes platforms to Azure/AKS. Support app teams by externalizing configuration, reducing hard-coded dependencies, and increasing portability across environments. Prepare detailed deployment and architecture documents, dependency matrices, operational runbooks, and migration/cutover plans. SCOPE & DECISION MAKING AUTHORITY: Number of direct reports: - TBD Budgeting responsibility: TBD Authority for expenditure: TBD RELATIONSHIIPS, FREQUENCY OF INTERACTION: Relationship Frequency 1-Internal (Will follow governance cadence) Internal (Daily/Weekly interactions) Collaborate daily with Data & AI development teams to understand application requirements. Coordinate with IT Security and DevOps colleagues regarding deployment standards and incident resolution. Engage with Architecture and Network teams on infrastructure designs and changes. Regular knowledge sharing sessions and documentation updates. 2-External Periodic coordination with Azure support or external vendors for technical troubleshooting, upgrades, and root cause analysis. Occasional interaction with third-party solution providers for integration and best practices exchange. JOB SPECIFIC KNOWLEDGE & SKILLS: Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience). Minimum 5 years’ hands-on experience in infrastructure engineering, DevOps, or cloud platform management. Proven experience with containerization, Kubernetes (on-premises and Azure AKS), Helm, and Linux administration. Demonstrated proficiency in Azure core services, Azure DevOps, and Infrastructure as Code tools (Terraform/Bicep). Solid understanding of networking principles, security best practices, and secrets management. Strong documentation, communication, and troubleshooting abilities. Expert knowledge of Docker and containerization technologies. Strong proficiency in Kubernetes administration and troubleshooting (on-premises and Azure AKS). Linux systems administration, networking, and storage expertise. Helm for application packaging and deployment. Azure cloud services, networking, security, and monitoring tools. Infrastructure as Code (Terraform, Bicep). CI-CD pipeline automation using Azure DevOps. Secrets and configuration management. Container and Kubernetes security and compliance. Excellent problem solving, documentation, and coordination skills. QUALIFICATIONS AND RELEVANT ROLES/EXPERIENCE Bachelor’s degree in relevant technical field or equivalent proven experience. 5+ years in infrastructure, DevOps, or Kubernetes engineering roles. Certified Kubernetes Administrator (CKA) and/or Azure certifications are highly desirable. Demonstrable experience supporting hybrid infrastructure environments. Proven track record with successful containerized workload migrations JOB CRITICAL COMPETENCIES: Competency Name Proficiency Level Definition 1-Containerization and Orchestration-Expert Demonstrated expertise in Docker and Kubernetes, including advanced deployment, troubleshooting, and management of workloads across on-premises and cloud (Azure AKS) environments. 2-Infrastructure Automation-Advanced Strong skills in building and managing CI-CD pipelines, Infrastructure as Code (Terraform/Bicep), and automating deployment and configuration across hybrid environments. 3-Cloud Platform Management-Advanced In-depth knowledge of Azure services, networking, security, and storage with the ability to seamlessly integrate and operate hybrid solutions. 4-Security and Compliance-Expert Ability to design and implement security best practices for containers, Kubernetes, and cloud resources including secrets management, vulnerability scanning, and RBAC. 5-Technical Documentation & Collaboration-Advanced Produces comprehensive technical and operational documentation and collaborates fluently across multidisciplinary internal and external teams. Interested candidates can share their resume at recruitment@namasys.ai