> Markdown version of [/jobs/ext/2586088-sr-platform-engineer](https://www.wearedevelopers.com/jobs/ext/2586088-sr-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). --- # Sr. Platform Engineer - **Company:** Munich Re - **Location:** Munich, ND, United States - **Experience:** Expert - **Salary:** $147,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Application Lifecycle Management, Microsoft Azure, Business Software, Continuous Integration, Domain Name System (DNS), Github, Python (Programming Language), Key Management, Machine Learning, Modular Design, Routing, Octopus Deploy, OpenShift, Systems Development Life Cycle, Role-Based Access Control, Cloud Services, Prometheus, Service Discovery, TypeScript, Management of Software Versions, Software Vulnerability Management, Datadog, Policy as Code, Data Logging, Pulumi, Transport Layer Security, Google Cloud, Load Balancing, Delivery Pipeline, Grafana, Kubernetes Helm Charts, Kubernetes, Information Technology, Deployment Automation, Terraform, Docker - **Published:** August 28, 2026 - **Apply:** https://www.dice.com/job-detail/574ede1c-325d-4654-a438-94f18d78d678 ## About the Role Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. - Hands-on experience designing and operating platform services using Infrastructure as Code (Terraform, Pulumi, Crossplane, or CSP-native tooling) with a modular, reusable approach. - Strong experience with K8s or OpenShift and core platform components, including networking, ingress, service discovery, storage, RBAC, admission control, and multi-tenancy. - Experience implementing and standardizing CI/CD for multi-team environments, ideally with GitHub Actions and Argo CD, including release strategies and deployment automation. - Experience with at least one major Cloud Service Provider such as Azure, Google Cloud Platform, or AWS. - Strong networking fundamentals, including DNS, TLS, load balancing, routing, and private connectivity. - Strong security foundations across identity, application, data, network, and supply-chain security, including scanning, signing, SBOM, secrets handling, and policy enforcement. - Strong software engineering fundamentals and experience building internal tooling and automation, ideally in Go, Python, or TypeScript. - Experience with containers and container tooling, including Docker, registries, and image build pipelines. - Excellent knowledge of Linux operating systems and operational troubleshooting. - Proven experience leading incident response, including triage, mitigation, coordination across teams, and driving post-incident improvements. - Deep knowledge of observability tooling and practices, such as Prometheus, Grafana, and Datadog. - Strong problem-solving and analytical abilities, with excellent communication and cross-functional collaboration skills. ## Description Design, build, and operate a secure and reliable internal platform for running business applications and machine learning workloads at scale. - Develop and maintain self-service capabilities (golden paths) for provisioning infrastructure, deploying workloads, and managing the application lifecycle through standardized APIs, templates, and automation. - Build and evolve reusable platform primitives such as K8s clusters, ingress, service networking, secrets management, policy controls, and identity integration. - Maintain cloud and platform infrastructure using Infrastructure as Code (e.g., Terraform, Pulumi, Crossplane) in a secure, scalable, and reusable manner, including modular design, versioning, policy guardrails, automated validation, and safe rollout practices. - Implement and maintain platform-level CI/CD patterns that support multiple teams while enforcing secure and compliant SDLC practices. - Provide opinionated reference architectures and reusable building blocks (e.g., Helm charts, Argo CD apps, Terraform modules, scaffolding tools) that enable consistent delivery. - Implement guardrails for security and compliance (policy-as-code, least privilege, workload identity, image provenance, runtime controls) while maintaining developer velocity. - Own platform observability by establishing monitoring, logging, tracing, alerting, and SLO practices to keep the developer platform stable and measurable. - Drive platform reliability and operational excellence through incident response, root cause analysis, postmortems, and continuous improvement to reduce toil. - Support daily operations, monitoring, and security functions of the platform stack, including routine maintenance, access and identity workflows, vulnerability remediation, and operational support for internal platform services. - Partner closely with application teams and stakeholders to understand friction points, prioritize the platform roadmap, and deliver measurable improvements in developer experience and time-to-production. - Lead through influence and consensus, providing technical guidance, reviews, and mentorship to peers and junior engineers. - Own your professional development, continuously learning new technologies and domain context to operate as a subject matter expert (SME). ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - 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