Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain GCP cloud infrastructure for AI solutions in financial services.
- Company: SmartCo, a leader in innovative financial technology.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Why this job: Join a cutting-edge team shaping the future of AI in finance.
- Qualifications: Experience with GCP, DevOps, and GenAI tools required.
- Other info: Contract role starting January 2026 with potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
SmartCo are seeking a highly skilled GCP Cloud Engineer / DevOps professional with hands-on experience in building and deploying GenAI solutions. This role supports a large-scale financial services programme, focusing on modern GCP infrastructure and AI platform enablement across multi-cloud environments (GCP, AWS, Azure), and plays a key role in shaping and optimising GCP infrastructure from an AI perspective, ensuring scalability, automation, and compliance across environments.
Key Responsibilities:
- Design, build, and maintain GCP cloud infrastructure with enterprise-grade security, scalability, and compliance standards.
- Architect and deploy AI-ready GCP environments, translating AWS or Azure AI components into GCP-native GenAI equivalents (Vertex AI, Gemini, Document AI, Vision API).
- Implement CI/CD pipelines and IaC using Terraform.
- Deploy and manage containerised workloads with Docker and Kubernetes (GKE).
- Develop and support GenAI infrastructure, including retrieval pipelines, vector databases, embeddings, and model deployment.
- Collaborate with AI engineering teams to design and integrate AI architectures and frameworks into production systems.
- Build observability and automation for AI workloads (monitoring, logging, performance optimization) using tools like Cloud Monitoring & Logging.
- Ensure best practices in DevSecOps, cost optimization, and cloud governance.
Required Skills & Experience:
- Strong hands-on experience with GCP Cloud (Compute Engine, GKE, Cloud Run, Cloud Functions, Vertex AI, BigQuery, IAM, Cloud Storage, Deployment Manager/Terraform).
- Proven background in DevOps, automation, CI/CD (GitHub Actions, Jenkins, GitLab CI), containerization (Docker, Kubernetes).
- Practical exposure to GenAI & AI infrastructure tools, including:
- GCP: Vertex AI, Gemini, Document AI, Vision API
- AWS: Bedrock, SageMaker, Kendra
- Azure: AI Foundry, Cognitive Services, Databricks
- Other: LangGraph, LangSmith, Agentic Frameworks, MCP/A2A
Internal Interviews will take place in December.
GCP Cloud Engineer in Leeds employer: SmartCo Consulting
Contact Detail:
SmartCo Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Cloud Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with GCP or in financial services. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GCP projects, especially any GenAI solutions you've built. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to GCP and DevOps, and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace GCP Cloud Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the GCP Cloud Engineer role. Highlight your hands-on experience with GCP and any GenAI projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've designed or maintained GCP infrastructure. If you've implemented CI/CD pipelines or worked with containerisation, let us know! Real-world examples help us understand your expertise.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication that gets to the heart of your experience.
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 see what you bring to the table!
How to prepare for a job interview at SmartCo Consulting
✨Know Your GCP Inside Out
Make sure you brush up on your GCP knowledge, especially the services mentioned in the job description like Vertex AI and BigQuery. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience and understanding of the platform.
✨Showcase Your GenAI Expertise
Since this role focuses on GenAI solutions, prepare to talk about specific projects where you've implemented AI components. Highlight your experience with translating AWS or Azure AI tools into GCP equivalents, and be ready to discuss the challenges you faced and how you overcame them.
✨Demonstrate DevOps Skills
Familiarise yourself with CI/CD pipelines and Infrastructure as Code (IaC) using Terraform. Be prepared to explain your approach to automation and how you've implemented these practices in previous roles, particularly in a financial services context.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and knowledge of cloud security, networking, and identity management. Practise articulating your thought process clearly, as this will help interviewers gauge your ability to handle real-world scenarios.