> Markdown version of [/jobs/ext/3613177-senior-aws-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3613177-senior-aws-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AWS Platform Engineer - **Company:** Salve.Inno Consulting - **Location:** München, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Bash Shell, Cloud Computing, Cloud Computing Security, Continuous Integration, Linux, DevOps, Disaster Recovery, Distributed Systems, Github, Identity and Access Management, Python (Programming Language), Prometheus, Datadog, Scripting, Computer Network Technologies, System Availability, Grafana, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Cloudwatch, Terraform, Docker, Jenkins - **Published:** October 8, 2026 - **Apply:** https://www.adzuna.de/details/5914633097 ## About the Role * Strong professional experience in cloud, platform, DevOps or infrastructure engineering. * Deep hands-on production experience with AWS. * Strong experience designing and operating Kubernetes, ideally Amazon EKS. * Strong commercial experience with Terraform. * Experience designing or significantly evolving production cloud infrastructure rather than only maintaining existing environments. * Strong understanding of AWS networking, IAM, security and highly available architectures. * Experience with Docker and containerised workloads. * Hands-on experience with GitOps, ideally ArgoCD or FluxCD. * Strong CI/CD experience. * Experience with production observability using tools such as Prometheus, Grafana, Datadog, CloudWatch or OpenTelemetry. * Experience troubleshooting production infrastructure and distributed systems. * Good Linux and networking knowledge. * Automation or scripting experience with Python, Bash or Go. * Understanding of cloud security and least-privilege principles. * Ability to work independently and take technical ownership of complex infrastructure. * Professional working proficiency in English (C1+) ## Description We are looking for a Senior AWS Platform Engineer to design, build and evolve production cloud platforms used by engineering teams at scale. This is not a traditional infrastructure administration or pipeline-maintenance role. You'll work hands-on across AWS architecture, Kubernetes/EKS, Infrastructure as Code and platform engineering, taking ownership of cloud environments from design through production operation. You'll build reusable infrastructure and developer platforms, automate cloud provisioning and delivery, improve reliability and observability, and help engineering teams deploy applications without having to become infrastructure experts themselves. We're particularly interested in engineers who have built things from scratch: AWS environments, EKS platforms, landing zones, Terraform modules, GitOps workflows, internal platforms or major cloud migrations. Responsibilities * Design, build and evolve production infrastructure on AWS. * Architect and operate Kubernetes/EKS platforms supporting production workloads. * Build reusable infrastructure using Terraform and Infrastructure as Code principles. * Develop scalable cloud foundations including networking, IAM, compute, storage and managed AWS services. * Build and improve GitOps delivery workflows using tools such as ArgoCD or FluxCD. * Design and maintain CI/CD automation using GitHub Actions, GitLab CI, Jenkins or similar tooling. * Create reusable platform components, modules and automation that enable engineering teams to self-serve. * Improve platform reliability, scalability, security and performance. * Implement observability across infrastructure and workloads using metrics, logs, traces and alerting. * Troubleshoot complex production issues across Kubernetes, cloud infrastructure, networking and applications. * Contribute to incident response, root-cause analysis, disaster recovery and production readiness. * Identify opportunities for cloud cost optimisation and more efficient resource utilisation. * Work directly with software engineers, architects and technical stakeholders on infrastructure and platform decisions. * Contribute to architecture decisions rather than simply implementing predefined infrastructure tickets. * Use Python, Bash or another scripting language to automate operational and platform workflows. * Help establish engineering standards and best practices across cloud infrastructure, Kubernetes and Infrastructure as Code.