Cloud Engineer 1

Role Overview

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.

Responsibilities

• Provisioning, operating, and maintaining systems running on Azure or AWS including deployment/teardown and automation support.
• Understanding of cloud platforms including IaaS & PaaS components, for example: Azure Virtual Machines/EC2 Instances, Storage Accounts/S3 buckets, Network Security Groups, vNets, VPCs, Azure App Services/AWS Lambda, Kubernetes basics etc.
• Understanding of Infrastructure as code (IaC) and CI/CD pipeline concepts – example: Terraform, Gitlab, ADO.
• Good practical experience with Windows and Linux operating systems, including administration tasks such as OS configuration, patching, user management, system monitoring, and troubleshooting.
• Knowledge of network (LAN, WAN, VPN) and web related protocols (e.g. TCP/IP, UDP, HTTP, HTTPS).
• Understanding of backup and patching concepts in cloud environments.
• Awareness of security concepts such as RBAC, IAM roles, access provisioning and secure configurations.
• Good troubleshooting and analytical skills for cloud issues.
• Understanding of ITIL/ITSM processes including incident/request management.

Requirements

• 1/2+ years of experience working with Azure or AWS or any other major cloud platform technologies.
• Exposure to scripting or automation tools (e.g., PowerShell, Python, Bash, Azure CLI, AWS CLI) is desirable.
• Exposure to monitoring tools such as Azure Monitor, Log Analytics, Application Insights or AWS CloudWatch is desirable.
• Knowledge on installation, configuration, usage of CLI tools to manage cloud components is desirable.
• Experience with documentation and following operational runbooks is desirable.
• ServiceNow exposure is a bonus.
• Good to have: Awareness of AI concepts and their applicability in IT operations (e.g., automation, monitoring insights).
• Prior experience in Life Sciences area is also a bonus. Other highly regulated industry experience will be considered also.
• Degree level educated, preferably in science, maths or engineering areas.
• Azure or AWS Fundamentals level certification is preferred.