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10 hours ago
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. They will also possess strong skills in vendor and budget management, along with a clear commitment to operational excellence and service delivery in a complex, mission-driven environment. Principal Accountabilities & Responsibilities • Design, deploy, and manage secure, scalable cloud infrastructure (primarily AWS; GCP exposure is a plus). • Oversee core IT infrastructure, including networking, server provisioning, storage, and backup solutions. • Ensure adherence to institutional compliance standards and security best practices; conduct root cause analysis for infrastructure incidents. • Administer and optimize containerized environments using Docker and Kubernetes (EKS preferred) • Design and implement automated backup and disaster recovery strategies across cloud and on- premise environments, ensuring data resilience and compliance with RTO/RPO objectives. • Lead response to downtime events, developing proactive strategies to minimize system outages, optimize recovery time, and maintain high availability across critical services. • Monitor and analyse cloud workloads to ensure high performance and cost efficiency. • Manage cloud infrastructure budgets and pricing strategies, ensuring optimal resource allocation and cost control. • Additionally, expertise in SRE and security may be essential. • Serve as the single point of contact (SPOC) for vendor and license management (e.g., Zoom, Microsoft 365). Guide and mentor juniors in the team. • Lead digital transformation initiatives to modernize IT infrastructure in alignment with academic and operational goals. Skill and Ability Requirements • Minimum 5+ years of progressively responsible experience in cloud infrastructure and operations. • Strong proficiency in Amazon Web Services (AWS), including EC2, S3, IAM, CloudWatch, and Lambda. • In-depth understanding of networking concepts such as VPC, DNS, Load Balancing, and VPN. • Expertise in containerization with Docker and orchestration using Kubernetes (EKS preferred). • Experience with cloud security tools, including AWS Security Hub and CloudTrail. • Hands-on experience with monitoring tools, such as Prometheus, Grafana, and Datadog. • Strong experience in cloud cost optimization, pricing analysis, and budget management • Proficiency with CI/CD tools and pipelines (e.g., Jenkins, GitHub Actions). • Experience integrating CI/CD for infrastructure-as-code (IaC) and AI/ML workflows. • Experience deploying AI models and solutions in cloud environments (e.g., AWS SageMaker, Azure ML, GCP Vertex AI). • Proven experience in Linux system administration and shell scripting. • Demonstrated ability to manage vendor relationships and license agreements (Zoom, Microsoft 365). • Familiarity with Google Cloud Platform (GCP) is a plus. • Excellent problem-solving skills and the ability to lead incident response and root cause 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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