Cloud Infrastructure Architect - Glasgow

We are seeking a highly skilled and motivated Logging & Inventory Engineer to join our dynamic team in Glasgow. This is a critical role within the teams next-generation cloud environment, Atlas 2.0, which serves as a multi-cloud control plane spanning AWS, Azure, GCP, and On-Premise infrastructure. The successful candidate will play a pivotal role in developing and managing robust logging, monitoring, and inventory solutions, with a strong focus on GCP and AWS environments, and contributing to AI enablement initiatives. Key Responsibilities: Design, implement, and maintain comprehensive logging, monitoring, and inventory management solutions across GCP and AWS cloud platforms. Develop and deploy automation scripts and infrastructure-as-code using Python and Terraform to streamline operational processes and enhance system reliability. Leverage AI-assisted coding tools such as GitHub Co-Pilot and Claude Code to accelerate development and improve code quality for DevOps initiatives. Contribute to the ongoing development and evolution of the Atlas 2.0 platform, specifically focusing on GCP logging and inventory functionalities. Manage and troubleshoot cloud infrastructure and applications using shell scripting and command-line tools. Drive automation efforts to improve efficiency, reduce manual intervention, and ensure consistent application of best practices. Implement and manage logging and monitoring for containerised applications and Kubernetes clusters. Collaborate closely with cross-functional teams to integrate logging and inventory solutions with other platform components and services. Ensure adherence to security, compliance, and operational best practices within the logging and inventory frameworks.

Strong hands-on experience with Google Cloud Platform (GCP) and Amazon Web Services (AWS). Proven experience in designing, implementing, and managing logging, monitoring, and inventory solutions within GCP and AWS environments. Proficiency in Python and Terraform for automation and infrastructure-as-code. Experience with Git and modern DevOps practices. Familiarity with AI-assisted coding tools such as GitHub Co-Pilot and Claude Code for development work. Strong ability to work effectively in a shell environment (e.g., Bash, Zsh). Demonstrated ability to drive and implement automation initiatives. Experience with Kubernetes or other containerisation technologies. Desired Skills and Experience: Experience with Microsoft Azure cloud platform. Prior experience working within Financial ServicesJob Title: Senior Logging & Inventory Engineer