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Senior DevOps Engineer (GCP)

· Job Posted December 10, 2025
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Job Description

Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple business units. The platform enables large-scale data processing, workflow automation, and secure integration with internal systems, supporting the bank’s digital transformation initiatives. We are looking for a Senior DevOps (GCP) Engineer to design, build, and maintain cloud-native infrastructure and CI/CD pipelines for a large-scale AI-driven document processing platform. The ideal candidate has extensive hands-on experience with Google Cloud Platform (GCP), container orchestration, automation, observability, and DevOps best practices. Experience supporting AI/ML or GenAI workloads is a strong advantage. You will work closely with engineering, architecture, platform, and GenAI teams to ensure secure, scalable, and reliable delivery environments across development, testing, and production.

Job Responsibility

  • Design, implement, and maintain cloud infrastructure on Google Cloud (GKE, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage)
  • Build and optimize CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)
  • Develop infrastructure-as-code using Terraform or similar tools
  • Set up and maintain container orchestration (Kubernetes, GKE) and automated deployment workflows
  • Implement monitoring, alerting, and observability using tools such as Prometheus, Grafana, ELK/Elastic, Stackdriver, or OpenTelemetry
  • Ensure compliance with security and governance standards across all environments
  • Collaborate closely with engineering teams to ensure scalable, high-performance deployment architectures
  • Support AI/ML and GenAI workloads (Vertex AI pipelines, model hosting, GPU workloads, inference optimization)
  • Manage environment strategies, release pipelines, configuration management, and secrets management
  • Optimize cloud costs and recommend improvements for performance and reliability
  • Troubleshoot production issues, ensure system uptime, and improve incident response processes

Requirements

  • 5+ years of experience in DevOps, Cloud Engineering, or SRE roles
  • Strong hands-on experience with Google Cloud Platform, including: GKE / Kubernetes, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, VPC, IAM, networking, security
  • Expertise in Terraform, Helm, or other IaC tools
  • Experience building CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, Jenkins, etc.)
  • Strong understanding of containerization and orchestration: Docker, Kubernetes
  • Solid experience with monitoring, observability, and logging stacks
  • Familiarity with networking, load balancing, security hardening, and zero-trust principles
  • Experience supporting production systems in high-availability, distributed environments
  • Strong scripting skills (Python, Bash, or similar)
  • Experience working with agile engineering teams
  • Excellent communication skills and ability to collaborate across technical and business teams

Nice to have

  • Experience supporting AI/ML or GenAI pipelines, especially Vertex AI, model deployment, or GPU workloads
  • Experience with service mesh (Istio, Linkerd) or advanced networking patterns
  • Familiarity with FinTech, banking, or regulated environments
  • Experience with policy enforcement tools (OPA, Gatekeeper) or secrets solutions (Vault, Secret Manager)
  • Experience with cost optimization for large-scale cloud workloads

What we offer

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

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