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For Companies At a Glance
- Tasks: Design and maintain cloud infrastructure, automation pipelines, and AI/ML solutions on Google Cloud.
- Company: Join a dynamic cloud engineering team at a leading tech company.
- Benefits: Competitive salary, hybrid work options, and opportunities for professional growth.
- Why this job: Work with cutting-edge GCP and AI technologies to make a real impact.
- Qualifications: Experience with GCP, DevOps tools, and strong coding skills required.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
The predicted salary is between 60000 - 80000 £ per year.
Locations: Halifax | Manchester | Leeds | Bristol | Edinburgh (Hybrid)
We’re hiring on behalf of our client for an experienced GCP DevOps / Platform Engineer to join a growing cloud engineering team delivering modern, scalable, and secure solutions on Google Cloud Platform. This is an exciting opportunity to work on cutting-edge cloud-native platforms, AI/ML enablement with Vertex AI, and enterprise-grade DevOps practices in a highly collaborative environment.
What you’ll be doing
You’ll play a key role in designing, building, and maintaining cloud infrastructure and automation pipelines that power advanced analytics and AI workloads. You’ll work closely with engineering, data, and security teams to deliver reliable and secure cloud services.
Key responsibilities include:
- Designing and managing GCP infrastructure using Infrastructure as Code
- Building and maintaining CI/CD pipelines to enable fast, reliable releases
- Deploying and integrating Vertex AI components for ML/AI solutions
- Managing GKE (Kubernetes) clusters in production environments
- Supporting BigQuery, Cloud Build, Harness, and related cloud services
- Automating operational tasks to remove toil and improve reliability
- Implementing cloud security, networking, and governance best practices
- Writing and maintaining scripts and tooling to support platform engineering
What we’re looking for
- Certifications and hands-on experience with Google Cloud Platform (GCP)
- Strong DevOps mindset with experience in Terraform, Jenkins, or Azure DevOps (or similar)
- Solid coding/scripting skills in Python, Groovy, Bash, or PowerShell
- Proven experience with Vertex AI integration and deployment
- Experience with GKE, BigQuery, Cloud Build, Harness
- Strong understanding of cloud security and networking concepts
- Experience developing for or administering Kubernetes clusters in production
- Passion for automation and continuous improvement
Nice to have
- Experience supporting AI/ML or data engineering workloads
- Experience working in regulated or enterprise environments
- Knowledge of observability and monitoring tools
Why join?
- Work on impactful cloud and AI initiatives
- Modern tech stack and engineering-first culture
- Multiple UK locations with hybrid flexibility
- Opportunity to shape platform standards and best practices
- Competitive salary and benefits package
If you’re a cloud-focused DevOps engineer who enjoys building scalable, automated platforms and working with the latest GCP and AI technologies, we’d love to hear from you. Apply now or reach out for a confidential discussion.
GCP DevOps / Platform Engineer (Vertex AI & Cloud Engineering) in Midlothian employer: KBC Technologies UK LTD
Contact Detail:
KBC Technologies UK LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP DevOps / Platform Engineer (Vertex AI & Cloud Engineering) in Midlothian
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. 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 projects, especially those involving GCP, Vertex AI, and CI/CD pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common DevOps scenarios and cloud engineering challenges. Practise explaining your thought process and solutions clearly—communication is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace GCP DevOps / Platform Engineer (Vertex AI & Cloud Engineering) in Midlothian
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GCP, DevOps practices, and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your Terraform, Jenkins, or Vertex AI expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about cloud engineering and how your background makes you a perfect fit for our team. Let us know what excites you about working with AI and modern cloud solutions.
Show Off Your Projects: If you've worked on any cool projects involving GKE, BigQuery, or automation, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your hands-on experience.
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 shows us you’re keen to join our awesome team!
How to prepare for a job interview at KBC Technologies UK LTD
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Familiarise yourself with the specific services mentioned in the job description, like Vertex AI, GKE, and BigQuery. Being able to discuss how you've used these tools in past projects will show you're not just familiar but experienced.
✨Show Off Your DevOps Mindset
Prepare to talk about your approach to DevOps practices. Think of examples where you've implemented CI/CD pipelines or used Infrastructure as Code. Highlight your experience with tools like Terraform or Jenkins, and be ready to explain how they improved your workflow.
✨Demonstrate Your Coding Skills
Since coding is a big part of this role, be prepared to discuss your scripting skills in Python, Groovy, Bash, or PowerShell. You might even want to bring along a code sample or two that showcases your ability to automate tasks or solve problems effectively.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the role and the company. Ask about their current cloud projects, team dynamics, or how they approach cloud security. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.