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For Companies At a Glance
- Tasks: Design and manage cloud-native infrastructure on Google Cloud for AI systems.
- 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 environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
GCP DevOps Engineer – AI Infrastructure (Financial Services)
Before applying for this role, please read the following information about this opportunity found below.
Location: London
Contract Type: Full-time / Permanent
2 days required at Office and 3 from home per week
£(Apply online only) DOE
Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We\’re 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. xiskglj
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
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DEVOPS Engineer, GCP Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. You never know who might be looking for a GCP DevOps Engineer like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving GCP, Terraform, and CI/CD pipelines. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of GCP services and container orchestration. Practice common DevOps scenarios and be ready to discuss how you've tackled challenges in past roles.
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
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 match 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 concise but impactful.
Showcase Relevant Projects: If you've worked on any projects that involved GCP, Docker, or Kubernetes, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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 serious about joining our team!
How to prepare for a job interview at Experis
✨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 Automation Skills
Prepare to talk about your experience with CI/CD pipelines and automation tools like Google Cloud Build and Jenkins. Have specific examples ready that demonstrate how you've improved deployment workflows or reduced manual errors in previous roles.
✨Demonstrate Your Scripting Proficiency
Since scripting is key for a DevOps role, be ready to discuss your experience with Python or Bash. You might even want to prepare a small coding challenge or example to showcase your skills during the interview.
✨Highlight Your Problem-Solving Abilities
Be prepared to discuss how you've tackled infrastructure issues in the past. Share specific instances where you set up monitoring systems or resolved downtime for critical services, as this will illustrate your ability to maintain reliability in high-performance environments.
