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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Platform Engineer GCP and AWS - **Company:** wickes - **Location:** Watford, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Confluence, Automation of Tests, Bash Shell, BigQuery, Cloud Engineering, Cloud Storage, Computer Networks, Continuous Delivery, Continuous Integration, DevOps, Domain Name System (DNS), Monitoring of Systems, Identity and Access Management, Virtual Private Networks (VPN), Python (Programming Language), Network Security, OpenID, Peering, Reliability Engineering, Cloud Services, Security Assertion Markup Language (SAML), Software Engineering, Datadog, Network Switches, Google Cloud, Load Balancing, Grafana, Multi-Cloud, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Amazon Relational Database Service, Containerization, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Google Cloud Functions, Gsuite, Functional Programming, Cloudwatch, Terraform, AWS EKS, Docker, Jenkins, Static Application Security Testing, Dynamic Application Security Testing - **Published:** October 30, 2026 - **Apply:** https://www.totaljobs.com/job/senior-platform-engineer-aws/wickes-job108253032 ## About the Role Ideally you'll have a bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. With regards to your overall experience, to be successful in the role, we'd expect you'll have around 8+ years in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role within enterprise cloud environments. As well as this we're looking for Cloud Expertise: Minimum 5+ years hands-on experience designing, deploying, and managing complex Google Cloud Platform (GCP) infrastructure, combined with demonstrable experience working with AWS. Advanced IaC: Expert-level proficiency with Terraform for multi-provider deployments (GCP and AWS providers), module design, and state management. CI/CD Leadership: Demonstrable experience building, maintaining, and optimizing enterprise pipelines using GitLab CI/CD or Jenkins. Scripting & Automation: Strong proficiency in at least one scripting/programming language (Python, Bash, or Go). Containerization & Orchestration: Solid hands-on experience with Docker and managed Kubernetes engines (GCP GKE and AWS EKS). Observability Tools: Hands-on experience with enterprise observability tools (Datadog preferred). Networking & Security: Strong understanding of multi-cloud networking concepts (VPC peering, Interconnect, DNS, Load Balancing) and unified identity frameworks (IAM, SAML, OIDC). We're looking for the following attributes in the successful candidate: Poise and ability to act calmly and competently in high-pressure, demanding situations Ability to manage ambiguity to clarify requirements and objectives to ensure successful outcomes. High degree of initiative, dependability, and ability to work with minimal supervision while being resilient to change. High level of personal integrity, as well as the ability to professionally handle confidential matters and show an appropriate level of judgement and maturity. A critical thinker, strong problem-solving and trouble-shooting skills. Technology neutral: remains unbiased toward any specific technology or vendor choice, and is more interested in results than personal preferences Motivated and driven by achieving long-term business outcomes. Excellent written, verbal, communication and presentation skills with the ability to articulate new ideas and concepts to technical and nontechnical audiences. ## Description We're looking for a Senior Platform Engineer to join our team here at Wickes. Wickes is a home improvement retailer which offers a wide range of products for DIY and home improvement, with a strong focus on serving both the local trade and general public, including kitchen and bathroom installations. We are currently undergoing a technical transformation replacing many of the key systems used to run and operate our business. To support our shift toward becoming a digital-first business, we are seeking an experienced Senior Platform Engineer with deep Google Cloud Platform (GCP) expertise and strong working knowledge of AWS. The role exists to design, build, and maintain the multi-cloud infrastructure that powers our internal platforms and enables software engineering squads to deliver applications efficiently, securely, and reliably. Championing our 'Platform as a Product' philosophy, you will build scalable, automated multi-cloud environments, manage continuous delivery pipelines, and drive multi-cloud integration patterns. Bringing strong expertise in Google Cloud Platform (GCP) along with solid AWS knowledge, you will provide technical leadership, mentor engineers, and drive operational excellence across both cloud environments. What you'll be doing: Cloud Infrastructure Automation (GCP & AWS): Design, implement, and operate highly available, secure, and scalable infrastructure leveraging deep Google Cloud Platform (GCP) expertise alongside solid AWS knowledge. Utilise Infrastructure as Code (IaC) principles (Terraform) to create reusable, versioned modules and machine images (Packer) for cloud workloads. Core Cloud Architecture & Operations: Provide deep technical expertise across all GCP services (GKE, Compute Engine, Cloud Storage, BigQuery, IAM, Cloud Functions, etc.) and good working knowledge on core AWS services (EC2, ECS/EKS, S3, RDS, VPC, IAM, Lambda). Optimise multi-cloud resource utilisation and cost (FinOps) while maintaining reliability. Deliver technical leadership and operational guidance for Google Workspace administration. CI/CD Pipeline Development & Management: Architect, optimize, and maintain automated CI/CD pipelines (GitLab CI/CD, Jenkins) across multi-cloud delivery paths. Integrate automated testing, quality gates, and security scanning tools (SAST/DAST/SCA) to accelerate release velocity. Multi-Cloud Networking & Security Integration: Implement robust networking, interconnectivity (VPN/DirectConnect/Interconnect), and unified identity and access management (IAM) strategies across GCP and AWS environments. Enforce security guardrails and data protection policies across both cloud perimeters. Observability & SRE Practice: Build and maintain enterprise monitoring, tracing, and logging solutions (Datadog, CloudWatch, Google Cloud Operations suite). Ensure full telemetry visibility across GCP and AWS workloads to proactively manage platform health and service-level objectives (SLOs). Governance & Continuous Improvement Create and maintain comprehensive documentation for our infrastructure, processes, and tools in Confluence. Continuously assess and refine existing products to support evolving business needs. Lead knowledge-sharing initiatives to promote engineering excellence across teams.