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- Tasks: Design and manage cloud-native infrastructure for AI systems on Google Cloud Platform.
- Company: Join a forward-thinking financial services firm transforming decision-making with AI.
- Benefits: Competitive salary, flexible work arrangement, and opportunities for professional growth.
- Why this job: Make a strategic impact in a hands-on role while working with cutting-edge technology.
- Qualifications: Experience with GCP, Docker, Kubernetes, and CI/CD tools required.
- Other info: Dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
Location: London
Contract Type: Full-time / Permanent
2 days required at Office and 3 from home per week
£60000 - 80000 DOE
Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We are seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure that supports high-performance AI systems. This is a hands-on technical role with strategic impact across infrastructure, automation, and security.
Key Responsibilities
- Infrastructure & Cloud Engineering
- Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP).
- Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments.
- Utilize GCP services such as Compute Engine, Cloud Run, Cloud Functions, BigQuery, and Kubernetes to support AI workloads.
- CI/CD & Automation
- Develop and maintain CI/CD pipelines using Google Cloud Build, Jenkins, and GitHub Actions.
- Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors.
- Drive adoption of DevOps best practices across engineering teams.
- Containerization & Orchestration
- Build and manage containerized applications using Docker and orchestrate them with Kubernetes.
- Ensure high availability and scalability of AI services through robust orchestration strategies.
- Monitoring & Reliability
- Set up monitoring and alerting systems using Cloud Monitoring, Cloud Logging, Prometheus.
- Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services.
Required Skills
- Strong hands-on experience with GCP services: Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run.
- Proficient in scripting with Python or Bash.
- Deep understanding of Docker and Kubernetes for containerization and orchestration.
- Expertise in CI/CD tools: Google Cloud Build, Jenkins, GitHub Actions.
- Proven experience with Terraform and other IaC tools.
- Experience in multi-cloud environments.
- Familiarity with monitoring tools such as Prometheus.
- Exposure to AI/ML infrastructure and data workflows in financial services.
DEVOPS Engineer, GCP Engineer in London employer: Experis - ManpowerGroup
Contact Detail:
Experis - ManpowerGroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DEVOPS Engineer, GCP Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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, CI/CD pipelines, and any cool automation you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around GCP services and DevOps practices. Practice common interview questions and be ready to discuss your past experiences in detail.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace DEVOPS Engineer, GCP Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the GCP DevOps Engineer role. Highlight your experience with Google Cloud Platform, Terraform, and CI/CD tools. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI infrastructure and how your background makes you a great fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any projects involving GCP, Docker, or Kubernetes, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our forward-thinking team!
How to prepare for a job interview at Experis - ManpowerGroup
✨Know Your GCP Inside Out
Make sure you brush up on your knowledge of Google Cloud Platform services, especially Compute Engine, Kubernetes, 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 IaC Skills
Since Infrastructure as Code is a key part of the role, be prepared to talk about your experience with Terraform or similar tools. Bring examples of how you've implemented IaC in previous roles, and be ready to explain the benefits it brought to your projects.
✨Demonstrate CI/CD Knowledge
Familiarise yourself with CI/CD pipelines, particularly using Google Cloud Build, Jenkins, and GitHub Actions. You might be asked to describe how you've set up or improved deployment workflows, so have some specific examples ready to share.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and understanding of containerization and orchestration. Brush up on Docker and Kubernetes concepts, and think through scenarios where you've had to troubleshoot infrastructure issues or ensure high availability.
