Negotiable
Undetermined
Undetermined
Glasgow, Scotland, United Kingdom
Summary: The Logging & Inventory Engineer role in Glasgow involves developing and managing logging, monitoring, and inventory solutions within a multi-cloud environment, primarily focusing on GCP and AWS. The position requires strong automation skills using Python and Terraform, as well as experience with AI-assisted coding tools. The successful candidate will contribute to the Atlas 2.0 platform and collaborate with cross-functional teams to enhance operational efficiency and security compliance. This role is critical for driving automation and improving system reliability in cloud infrastructure.
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.
Key Skills:
- 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.
- Experience with Microsoft Azure cloud platform.
- Prior experience working within Financial Services.
Salary (Rate): undetermined
City: Glasgow
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
About the Role: 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.
Skills and Experience:
- 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 Services.