At a Glance
- Tasks: Design and automate GCP infrastructure using Terraform and Python for enterprise AI/ML workloads.
- Company: Join a leading tech firm driving cloud innovation in Glasgow.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship and career advancement opportunities.
- Why this job: Be at the forefront of cloud technology and make a significant impact on AI solutions.
- Qualifications: Strong experience with GCP, Terraform, and Python; collaboration skills are a must.
The predicted salary is between 70000 - 90000 € per year.
We are looking for a skilled Cloud Engineer with deep experience in Google Cloud Platform (GCP), Python, and Terraform to support a large-scale Google Cloud enablement initiative. This role will focus on building secure, scalable, and automated cloud foundations, enabling Vertex AI services, provisioning delivery environments, and implementing the target-state operating model across people, process, and technology. The ideal candidate will be responsible for engineering reusable cloud infrastructure, automating platform provisioning, embedding governance and controls, and enabling high-quality, production-ready GCP services for enterprise AI/ML workloads.
Key Responsibilities
- Design, build, and automate GCP infrastructure using Terraform and Python.
- Provision and manage cloud environments required for the program, including production.
- Develop reusable infrastructure modules, templates, and engineering patterns for scalable GCP adoption.
- Implement cloud services and platform capabilities required to enable Vertex AI APIs and enterprise AI/ML workloads.
- Build automation for provisioning, configuration validation, compliance checks, operational workflows, and platform integrations.
- Collaborate with architecture, security, network, IAM, and platform teams to deliver compliant and production-ready cloud solutions.
- Translate control-plane and operating model requirements into deployable engineering assets and standards.
- Support environment setup, service onboarding, policy alignment, and release readiness for GCP workloads.
- Ensure solutions meet security, compliance, governance, and resiliency requirements, especially for regulated and HCD-sensitive workloads.
- Contribute to CI/CD pipelines, infrastructure lifecycle management, version control, and release automation.
- Document platform designs, engineering standards, implementation patterns, and operational procedures.
- Mentor team members and provide technical leadership on cloud engineering best practices.
Required Skills And Qualifications
- Strong hands-on experience with Google Cloud Platform (GCP).
- Deep experience with Terraform for infrastructure as code, module development, and environment provisioning.
- Strong Python development/scripting experience for automation and tooling.
- Experience building and managing cloud infrastructure in enterprise environments.
- Familiarity with core GCP services such as networking, compute, IAM, storage, monitoring, and security services.
- Experience with CI/CD pipelines, Git-based workflows, and automated deployment practices.
- Understanding of cloud governance, policy enforcement, secure design, and operational controls.
- Experience designing scalable, maintainable, and reusable cloud engineering solutions.
- Strong troubleshooting, collaboration, and technical documentation skills.
Preferred Qualifications
- Experience with Vertex AI, AI/ML platform enablement, or API-based model integration.
- Exposure to enterprise cloud control planes or multi-cloud platform engineering.
- Familiarity with IAM, networking, security, and policy-as-code concepts.
- Experience in regulated environments such as banking or financial services.
- Knowledge of SRE, observability, and production support considerations for cloud platforms.
- Experience driving platform standardization and engineering operating models.
Cloud Engineer in Glasgow employer: Carbon
As a Cloud Engineer at our Glasgow location, you will join a dynamic team dedicated to innovation and excellence in cloud technology. We offer a collaborative work culture that prioritises employee growth through mentorship and continuous learning opportunities, alongside competitive benefits that support work-life balance. Our commitment to building secure and scalable cloud solutions empowers you to make a meaningful impact in the rapidly evolving field of AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Engineer in Glasgow
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Cloud Engineer gig.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio showcasing your GCP projects, Terraform scripts, and Python automation. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for those technical interviews by brushing up on your GCP knowledge and Terraform skills. Practice common interview questions and be ready to demonstrate your problem-solving abilities with real-world scenarios.
✨Apply Through Our Website
Make sure to apply through our website for the best chance at getting noticed! We love seeing candidates who take the initiative to reach out directly and show their enthusiasm for joining our team.
We think you need these skills to ace Cloud Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GCP, Python, and Terraform. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this Cloud Engineer role. Share your passion for cloud technology and how your background makes you a great match for our team.
Showcase Your Projects:If you've worked on any cool projects involving cloud infrastructure or automation, make sure to mention them! We love seeing real-world applications of your skills, especially in enterprise environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Carbon
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss specific services you've used, how you've implemented them, and any challenges you've faced. This will show that you're not just familiar with GCP but have hands-on experience that can benefit the team.
✨Show Off Your Terraform Skills
Prepare to talk about your experience with Terraform, especially in terms of infrastructure as code. Have examples ready where you've developed reusable modules or automated provisioning. This will demonstrate your ability to build scalable cloud solutions effectively.
✨Python Proficiency is Key
Since Python scripting is crucial for this role, be ready to discuss your past projects involving automation and tooling. If possible, bring along snippets of code or examples of scripts you've written to showcase your skills and problem-solving abilities.
✨Collaboration is Crucial
This role involves working with various teams, so be prepared to share experiences where you've collaborated with architecture, security, or network teams. Highlight how you’ve contributed to compliant and production-ready solutions, as teamwork is essential in cloud engineering.
