Cloud Engineer

Cloud Engineer

About Go Reply:

Go Reply is the Reply Group company specialising in workload migration to Google Cloud Platform and then supports clients to optimise these workloads. Our collaborative approach allows our clients to enjoy benefits such as rapid innovation and development cycles. Our focus areas are both application workload migration and data migrations into platforms engineered on GCP. Go Reply is a Google Cloud Premier Partner with over 100 GCP engineers across our European practice. Go Reply hold Google awarded specialisations in Infrastructure and Machine Learning and are also a Google Cloud Platform Managed Service Partner, an award from Google to endorse our credentials in managed services. www.go.reply.com  

Role Overview:

We are seeking a technically hands-on and client-focused Cloud Engineer to build, deploy, manage, and optimise cloud-native solutions across a growing client portfolio. Working closely with Cloud Architects and delivery teams, you will translate architectural designs into production-ready solutions on Google Cloud Platform. The role spans infrastructure, data, and AI workloads, with a primary focus on engineering while also contributing to solution design discussions and supporting client engagements with technical expertise. You will deliver end-to-end solutions, from building data pipelines and deploying AI/ML workloads to provisioning infrastructure and automating deployments through CI/CD. This is a London-based role.

Responsibilities:

• Implement, deploy, and maintain Google Cloud infrastructure using Infrastructure as Code (primarily Terraform), ensuring repeatable and version-controlled environments


• Build and manage containerised workloads using Docker, GKE, and Cloud Run, alongside production-grade CI/CD pipelines


• Design, build, and maintain data and analytics platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer


• Implement and support AI/ML platforms on Google Cloud, including Vertex AI, Model Garden, and Gemini-based tooling, contributing to Agentic AI solutions


• Support cloud migration and modernisation initiatives using lift-and-shift, re-platforming, or re-architecting approaches


• Apply security best practices, including IAM, VPC networking, encryption, and compliance controls to meet client and regulatory requirements


• Participate in client engagements such as discovery sessions, technical workshops, and progress reviews, communicating effectively with diverse stakeholders


• Collaborate with architects, delivery leads, and engineering teams, contributing to best practices, knowledge sharing, and supporting junior team development

About the Candidate:

• Minimum of 3+ years’ hands-on experience in a Cloud Engineering role, ideally within a consultancy or professional services environment


• Holds at least one Google Cloud certification (e.g. Professional Cloud Architect or Professional Cloud Developer) and proficiency in at least one programming/scripting language (Python, Go, or Shell)


• Proven experience building and deploying solutions on Google Cloud Platform across infrastructure, data, and application domains


• Strong hands-on experience with Infrastructure as Code (Terraform), containerisation (Docker, Kubernetes/GKE), and CI/CD tools (e.g. Jenkins, Cloud Build, GitHub Actions, GoCD)


• Solid understanding of cloud networking and security fundamentals, including VPCs, IAM, firewall rules, encryption, and access management within GCP


• Working knowledge of data engineering on Google Cloud, including pipelines and analytical platforms using BigQuery, Composer, Dataflow, Dataproc, and Pub/Sub


• Familiarity with AI/ML workloads on GCP, including exposure to Vertex AI, BigQuery ML, Model Garden, or Gemini-based tooling


• Strong communication and collaboration skills, with a proactive, growth-oriented mindset, ability to navigate ambiguity, deliver in fast-paced environments


• Eligible for UK Government SC-level security clearance