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Role Overview: This role will be instrumental in ensuring our academic institution’s IT infrastructure is secure, scalable, cost-effective, and aligned with our mission to support education and research excellence. The ideal candidate will bring deep technical expertise in cloud platforms, infrastructure automation, and CI/CD practices, with a growing focus on enabling AI/ML workloads in production environments. Design, deploy, and manage secure, scalable cloud infrastructure (primarily AWS; Oversee core IT infrastructure, including networking, server provisioning, storage, and backup Ensure adherence to institutional compliance standards and security best practices; cause analysis for infrastructure incidents. • Administer and optimize containerized environments using Docker and Kubernetes (EKS Design and implement automated backup and disaster recovery strategies across cloud and on-premise environments, ensuring data resilience and compliance with RTO/RPO objectives. • Monitor and analyse cloud workloads to ensure high performance and cost efficiency. • Manage cloud infrastructure budgets and pricing strategies, ensuring optimal resource allocation Microsoft 365). Lead digital transformation initiatives to modernize IT infrastructure in alignment with academic and operational goals. Minimum 5+ years of progressively responsible experience in cloud infrastructure and operations. • Strong proficiency in Amazon Web Services (AWS), including EC2, S3, IAM, Cloud Watch, In-depth understanding of networking concepts such as VPC, DNS, Load Balancing, and Expertise in containerization with Docker and orchestration using Kubernetes (EKS Experience with cloud security tools, including AWS Security Hub and Cloud Trail. • Hands-on experience with monitoring tools, such as Prometheus, Grafana, and Datadog. • Strong experience in cloud cost optimization, pricing analysis, and budget management • Experience integrating CI/CD for infrastructure-as-code (Ia C) and AI/ML workflows. • Experience deploying AI models and solutions in cloud environments (e.g., AWS Sage Maker, Azure ML, GCP Vertex AI). • Proven experience in Linux system administration and shell scripting. • Microsoft 365). • Familiarity with Google Cloud Platform (GCP) is a plus. • analysis. Qualification & Experience • Bachelor’s degree/Master’s degree in Computer Science, Information Technology, or a related field. • AWS certifications are highly desirable. • Minimum 5+ years of progressively responsible experience in cloud infrastructure and operations.
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