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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 customer experiences with AI.
- Benefits: Competitive salary, flexible work arrangements, 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 team 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 employer: Experis - ManpowerGroup
Contact Detail:
Experis - ManpowerGroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DEVOPS Engineer, GCP Engineer
✨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 or GitHub repository showcasing your projects, especially those involving GCP, Terraform, and CI/CD pipelines. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your GCP knowledge and hands-on skills. Practice common DevOps scenarios and be ready to demonstrate your problem-solving abilities with real-world examples.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace DEVOPS Engineer, GCP Engineer
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 our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our mission. Be sure to mention specific projects or experiences that showcase your expertise in cloud-native infrastructure.
Showcase Your Technical Skills: Don’t hold back on your technical skills! List your hands-on experience with GCP services, Docker, and Kubernetes. We’re looking for someone who can hit the ground running, so make it clear how you meet the requirements.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
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, prepare 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 Expertise
Familiarise yourself with CI/CD pipelines, particularly using Google Cloud Build, Jenkins, and GitHub Actions. Be prepared to discuss specific challenges you faced while automating deployment workflows and how you overcame them to improve efficiency.
✨Prepare for Technical Scenarios
Expect technical questions or scenarios related to containerization and orchestration. Think through how you would troubleshoot issues in a Kubernetes environment or set up monitoring systems. Practising these scenarios can help you articulate your thought process during the interview.
