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 - 98000 £ 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 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/ML.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Cloud Engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GCP projects, Terraform scripts, and Python automation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common cloud engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges, especially around GCP and Terraform.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Cloud Engineers, and applying directly helps us see your enthusiasm and fit for the role.
We think you need these skills to ace Cloud Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Cloud Engineer role. Highlight your experience with GCP, Python, and Terraform right at the top. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've designed or automated cloud infrastructure. We love seeing real-world examples of your work, especially if they relate to AI/ML workloads or enterprise environments.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the role and how you can contribute to our cloud initiatives. We appreciate straightforward communication!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
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, how they work, and their applications in real-world scenarios. Prepare examples of projects where you've successfully implemented GCP solutions.
✨Show Off Your Terraform Skills
Since Terraform is a key part of the role, be prepared to talk about your experience with infrastructure as code. Bring examples of modules you've developed or environments you've provisioned. If possible, demonstrate your understanding of best practices in Terraform.
✨Python Proficiency is Key
As Python scripting is crucial for automation, be ready to showcase your coding skills. You might be asked to solve a problem on the spot, so practice common automation tasks and be familiar with libraries that can help streamline cloud operations.
✨Collaboration is Crucial
This role involves working with various teams, so highlight your collaboration skills. Share experiences where you've worked cross-functionally, especially in areas like security, networking, or compliance. Show that you can communicate effectively with both technical and non-technical stakeholders.
