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DEVOPS Engineer, GCP Engineer
Job summary
A financial services firm in London is seeking a skilled GCP DevOps Engineer to design and maintain cloud-native infrastructure for AI systems. Responsibilities include managing scalable infrastructure on GCP, implementing Infrastructure as Code with Terraform, and developing CI/CD pipelines using industry-standard tools. Ideal candidates will have strong experience with GCP, Docker, Kubernetes, and a proactive DevOps approach.
Qualifications
- Strong hands-on experience with GCP services including Compute Engine and Kubernetes.
- Deep understanding of Docker for containerization.
- Expertise in CI/CD tools like Jenkins and GitHub Actions.
Responsibilities
- Design and manage scalable infrastructure on GCP.
- Implement Infrastructure as Code using Terraform.
- Develop and maintain CI/CD pipelines.
Skills
Tools
GCP DevOps Engineer - AI Infrastructure (Financial Services)
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.
- Infrastructure & Cloud Engineering: Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP).
- Infrastructure as Code: Implement IaC using Terraform to ensure consistent and secure deployments.
- Cloud services: 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.
- Automation: Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors.
- DevOps culture: Drive adoption of DevOps best practices across engineering teams.
- Containerization & Orchestration: Build and manage containerized applications using Docker and orchestrate them with Kubernetes.
- Reliability: 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.
- Operations: Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services.
- 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.
People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.