At a Glance
- Tasks: Design and manage logging solutions in a cutting-edge cloud environment.
- Company: Join a dynamic team at the forefront of cloud technology in Glasgow.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Exciting role with a focus on automation and AI integration.
- Why this job: Be part of innovative projects that shape the future of cloud infrastructure.
- Qualifications: Experience with GCP, AWS, Python, and Terraform is essential.
The predicted salary is between 63000 - 77000 £ per year.
Location: Glasgow
Duration: 6 Month Contract
Start Date: ASAP
IR35: Inside
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.
Cloud Infrastructure Architect - Glasgow in Milton employer: Cognitive Group | Part of the Focus Cloud Group
As a leading Microsoft consultancy, we pride ourselves on fostering a dynamic work culture that champions innovation and continuous learning. Our Technical Copilot Trainer role offers not only the opportunity to engage with cutting-edge AI technologies but also provides a clear pathway for career advancement into AI Consulting or Solution Architecture. With a hybrid working model based in London, employees benefit from a collaborative environment while enjoying the flexibility to balance their professional and personal lives.
Contact Details:
Cognitive Group | Part of the Focus Cloud Group Recruitment Team
