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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
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