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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Cloud Platform Engineer - **Company:** Deluxe Media Inc. - **Location:** Aachen, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Batch Processing, Cloud Computing, Cloud Computing Security, Configuration Management, Continuous Integration, Linux, DevOps, Github, Identity and Access Management, Key Management, Linux System Administration, Release Management, Reliability Engineering, Ansible, Prometheus, Software Vulnerability Management, Datadog, AWS Cdk, Data Logging, Scripting, Enterprise Software Applications, Load Balancing, Cloud Platform System, Delivery Pipeline, Grafana, Cloudformation, Containerization, AI Platforms, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Slurm, Cloudwatch, Terraform, Docker, Jenkins - **Published:** August 29, 2026 - **Apply:** https://bydeluxe.wd5.myworkdayjobs.com/Deluxe_External/job/DE-Germany-Home-Office/Senior-Cloud-Platform-Engineer_R0016328 ## About the Role The ideal candidate combines strong AWS infrastructure experience with practical DevOps and systems engineering skills. This person should be comfortable working across infrastructure-as-code, Linux systems, containers, CI/CD, monitoring, deployment automation, operational support, and production reliability., * Strong professional experience in cloud infrastructure, DevOps, systems engineering, site reliability engineering, or platform engineering. * Hands-on experience designing and operating AWS infrastructure in production environments. * Experience with infrastructure-as-code tools such as Terraform, AWS CDK, CloudFormation, or similar technologies. * Strong knowledge of AWS networking, VPCs, IAM, security groups, load balancing, compute, storage, and monitoring services. * Strong Linux administration, scripting, automation, and troubleshooting skills. * Experience with Docker, containerized workloads, CI/CD pipelines, deployment automation, and production release practices. * Experience supporting production systems with monitoring, logging, alerting, incident response, and operational runbooks. * Understanding of cloud security, identity/access management, secrets management, and least-privilege access patterns. * Ability to troubleshoot complex issues across cloud, systems, network, application, and deployment layers. * Strong written and verbal communication skills. PREFERRED EXPERIENCE: * Experience supporting GPU workloads, AI/ML environments, model-serving platforms, high-performance compute, or data-intensive systems. * Experience with Kubernetes, ECS, EKS, Slurm, HPC clusters, or distributed compute environments. * Experience with Ansible, Helm, GitHub Actions, GitLab CI, Jenkins, or similar tooling. * Experience with observability platforms such as CloudWatch, Prometheus, Grafana, Datadog, ELK/OpenSearch, or OpenTelemetry. * Experience supporting media, localization, content-processing, workflow automation, or high-throughput production platforms. * Familiarity with security hardening, vulnerability management, compliance-driven operations, and enterprise infrastructure standards. * AWS certifications are a plus. ## Description Deluxe is seeking a Senior Cloud Platform Engineer to help design, build, automate, and operate cloud and platform infrastructure supporting AI services, automation initiatives, media workflows, internal platforms, and enterprise application environments., This role will have a primary focus on infrastructure supporting AI platforms, cloud-based model services, high-performance workloads, and automation initiatives, while also contributing to broader Deluxe infrastructure needs across media workflows, internal platforms, and enterprise applications. The Senior Cloud Platform Engineer will collaborate closely with other infrastructure, security, DevOps, application engineering, and AI engineering teams to ensure cloud environments follow Deluxe standards for reliability, scalability, security, observability, and cost management., * Design, build, automate, and maintain cloud infrastructure for AI services, media workflows, internal platforms, and enterprise application environments. * Develop and maintain infrastructure-as-code using tools such as Terraform, AWS CDK, CloudFormation, or similar technologies. * Support AWS networking, compute, storage, IAM, security controls, monitoring, environment automation, and cost management. * Build and support scalable infrastructure for production services, batch processing, high-throughput workloads, and GPU-enabled environments where needed. * Create and maintain CI/CD pipelines, deployment automation, configuration management, and operational tooling. * Support Linux systems, Dockerized applications, runtime environments, service deployments, and production release processes. * Partner with other infrastructure, security, application, DevOps, and AI engineering teams to align with Deluxe standards and shared platform practices. * Implement and improve standards for reliability, observability, security, backup/recovery, access management, incident response, and operational readiness. * Support containerized workloads, service deployments, cluster operations, and environment configuration. * Troubleshoot issues across infrastructure, systems, applications, networking, security, and deployment pipelines. * Help define reusable patterns for provisioning, configuration, monitoring, deployment, support, and environment management. * Support operational documentation, architecture diagrams, runbooks, and knowledge transfer materials. * Identify opportunities to reduce manual work through scripting, automation, platform improvements, and standardized tooling. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Fullstack developer salary in Germany [2023]](https://www.wearedevelopers.com/magazine/197-fullstack-developer-salary-in-germany-2023) - [Backend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/196-backend-developer-salary-in-germany-2023) - [Frontend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/195-frontend-developer-salary-in-germany-2023) - [Software Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/194-software-developer-salary-in-germany-2023) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies)