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# Cloud Engineer

- **Company:** Reply Ltd
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Business Analytics Applications, BigQuery, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Information Engineering, Data Flow Control, Github, Identity and Access Management, Python (Programming Language), Cloudera, Azure Machine Learning, Scripting, Google Cloud, Build Server, Amazon Virtual Private Cloud (VPC), Containerization, Kubernetes, Virtual Agents, Firewall Services Module, Terraform, Data Pipelines, Docker, Jenkins
- **Published:** August 17, 2026
- **Apply:** https://www.efinancialcareers.com/jobs-United_Kingdom-London-Cloud_Engineer.id24479748

## About the Role

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 Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits
discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

## Description

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


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