Google Cloud Engineer in Derby - RANGAM CONSULTANTS LIMITED

Role overview

As a GC Engineer, you will be responsible for designing, implementing, and operating GCP-based infrastructure and platforms, with a strong emphasis on automation, security, and reliability in a highly regulated environment. You will work closely with architecture, security, and application teams to deliver resilient cloud solutions for government workloads.

Key responsibilities

• Design and implement secure, scalable, and highly available infrastructure on GCP.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform and/ GDM.
• Deploy, manage, and troubleshoot containerised workloads using Kubernetes (GKE) and Docker.
• Implement and optimise CI/CD pipelines using tools such as Cloud Build, Jenkins, GitLab CI or similar.
• Configure and manage core GCP services (e.g. Compute Engine, Cloud Storage, BigQuery, Cloud SQL, Cloud Functions, Cloud Run, VPC networking, Load Balancing).
• Set up monitoring, logging, and alerting using Cloud Monitoring, Cloud Logging and related observability tools.
• Embed security and compliance into all stages of the delivery lifecycle, working within government or regulated environment standards.
• Collaborate with cross-functional teams (developers, architects, security, product) to support application delivery and incident resolution.
• Produce and maintain technical documentation, runbooks, and operational procedures.

Essential skills and experience

• Hands-on experience as a Cloud / DevOps / Platform Engineer working with GCP.
• Strong knowledge of core GCP services (compute, storage, networking, identity and access management).
• Practical experience with Infrastructure as Code (e.g. Terraform) and configuration management.
• Experience with Kubernetes (ideally GKE) and containerisation (Docker).
• Experience building and maintaining CI/CD pipelines.
• Good understanding of cloud security principles, IAM, network security, and compliance in regulated environments.
• Proven experience operating production workloads (monitoring, incident response, performance, cost optimisation).