Cloud Engineer - DevOps (Retail Multinational)

Description

Job Summary: We are seeking a Cloud - DevOps Engineer with a strong technical foundation to design, automate, and maintain technology infrastructure, enhancing agility and security. Key Highlights: 1. Design, deploy, and maintain infrastructure on GCP using Terraform and Kubernetes 2. Drive automation, observability, and cloud adoption through continuous improvement 3. A constantly learning environment with technological challenges and professional development One of our clients, a multinational in the retail sector, is looking for **a Cloud Engineer \- DevOps** to join their technology team. **Location: San Sebastián de los Reyes (Madrid)** **3 years of experience in a similar role** You will be responsible for **designing, automating, and maintaining the technology infrastructure** supporting our client’s systems and applications. Your mission will be to ensure development teams can deploy software in an agile, secure, and stable manner, promoting best practices in automation, observability, and cloud. We seek a candidate with a **solid technical background in cloud environments, automation, and modern infrastructure deployment**. The ideal candidate will combine hands-on experience with cloud technologies, containers, and automation tools, along with a mindset focused on continuous improvement, quality, and system reliability. ### **What You’ll Do:** Design, deploy, and maintain infrastructure on **Google Cloud Platform (GCP)** using Infrastructure-as-Code (**Terraform**) practices. Administer and operate **Kubernetes clusters (GKE)**, managing deployments, services, ingress, security policies, and scaling. Create and maintain **CI/CD pipelines** using **GitHub Actions** or **GitLab CI**, and implement **GitOps workflows** via **ArgoCD** or **Flux**. Manage containers and build secure images with **Docker**, following security and automation best practices. Automate operational tasks and internal processes using **Python** and DevOps ecosystem tools. Manage Kubernetes ecosystem configurations and templates using **Helm** and **Kustomize**. Administer relational (**PostgreSQL**) and non-relational (**Redis**, document-oriented, etc.) databases. Integrate and operate messaging and streaming systems such as **Kafka**, **Pub/Sub**, or similar technologies. Implement and maintain system **observability** using tools like **Prometheus**, **Grafana**, **Datadog**, or other solutions. Manage networking and security in cloud environments: **TCP/IP, DNS, VPNs, VPCs, API Gateways, Ingress Controllers**, as well as identity and **IAM** management. Manage secrets and security policies for containers, container images, and cloud resources. ### **What Technical Skills Do You Need?** * Proficiency in **Google Cloud Platform (GCP)**. * Advanced use of **Docker** and **Kubernetes** for application deployment and orchestration. * Experience with **Terraform** for infrastructure management and automation. * Strong **Python** skills for scripting, automation, and operational tasks. Certifications (highly valued): * Google Cloud: **Professional Cloud Architect** or others * Kubernetes: **CKA**, **CKAD**, **CKS** * Terraform: **Terraform Associate** **Important Knowledge Areas** * Experience with **GitHub Actions** or **GitLab CI**, and GitOps tools such as **ArgoCD** or **Flux**. * Familiarity with **Helm**, **Kustomize**, and other common cloud-native stack tools. * Relational Databases: **PostgreSQL** (including SQL proficiency). * Non-relational Databases: **Redis**, document-oriented databases, and similar. * Experience with **Kafka**, **Pub/Sub**, or other streaming platforms. * Use of **Datadog**, **Prometheus**, **Grafana**, or other observability solutions. * Solid understanding of **TCP/IP, DNS, VPNs, VPCs, API Gateways, and Ingress Controllers**. * Container security practices. * **Identity Management (IAM)**. * **Secrets management** using cloud/Kubernetes-specific tools. **Nice-to-Have Skills** Experience with other cloud providers such as **AWS**. Knowledge of **Java**, **Go**, or **Node.js**. Development of **Kubernetes Operators**. Use of **Service Mesh** (Istio, Linkerd). Familiarity with **OpenTelemetry** for distributed tracing. Experience in **FinOps** for cloud cost optimization. Knowledge of **Big Data**, **Machine Learning**, **MLOps**, and AI model deployment. **Personal Competencies** Analytical ability to understand and solve complex infrastructure problems. Orientation toward automation, efficiency, and continuous improvement. Clear communication and collaborative work with development and operations teams. Organization, attention to detail, and technical accountability. Technological curiosity and rapid learning capability. ### **What Does the Client Offer?** Permanent contract A constantly learning environment with technological challenges Hybrid work model (2 days remote) Salary: €45K \- €55K (based on experience) \+ monthly, quarterly, and annual variable compensation Real opportunities for promotion and career development