Senior DevOps Engineer (GCP)

Client Overview:

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.

Position Overview:

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.

Key Responsibilities:

• 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.