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For Companies At a Glance
- Tasks: Design and maintain cloud infrastructure, automation pipelines, and AI/ML solutions on GCP.
- Company: Join a dynamic cloud engineering team at a leading tech company.
- Benefits: Competitive salary, hybrid work options, and a focus on professional growth.
- Why this job: Work with cutting-edge cloud tech and make a real impact in AI initiatives.
- Qualifications: Experience with GCP, DevOps tools, and strong coding skills required.
- Other info: Collaborative environment with opportunities to shape platform standards.
The predicted salary is between 36000 - 60000 £ per year.
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 Old Town 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 Old Town
✨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 or GitHub repository showcasing your projects, especially those related to GCP and DevOps. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common GCP and DevOps questions. Practice explaining your past experiences and how they relate to the role you're applying for. Confidence 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 Old Town
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the GCP DevOps role. Highlight your experience with Google Cloud Platform, Terraform, and any relevant projects you've worked on. We want to see how you can contribute to our cloud engineering team!
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 aligns with the responsibilities listed in the job description. Let us know what excites you about working with Vertex AI and automation.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical examples of your skills, especially in areas like CI/CD pipelines and Kubernetes management. It gives us a better idea of what you can bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It streamlines the process and ensures your application reaches the right people. Plus, it shows us you're serious about joining our 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 and GKE. Being able to discuss how you've used these tools in past projects will show you're not just a theoretical expert but someone who can apply their knowledge practically.
✨Showcase Your DevOps Mindset
Prepare to talk about your experience with CI/CD pipelines and Infrastructure as Code. Bring examples of how you've implemented automation in your previous roles. This is a key part of the role, so demonstrating your passion for continuous improvement and efficiency will set you apart.
✨Be Ready for Technical Questions
Expect some technical questions or even a practical test during the interview. Brush up on your coding skills in Python, Bash, or Groovy, and be prepared to solve problems on the spot. Practising common coding challenges can help you feel more confident.
✨Cultural Fit Matters
This role is in a highly collaborative environment, so be ready to discuss how you work with teams. Share examples of how you've collaborated with engineering, data, and security teams in the past. Highlighting your communication skills and teamwork will show that you’re a great fit for their culture.