Platform Engineer

At Munich Re, the Integrated Analytics (IA) team leads this effort in North America. Our multi‑purpose team of data engineers, data scientists, machine learning engineers, underwriters, actuaries, and other experts work together to innovate and solve complex issues in insurance auditing and accelerated underwriting. Our Platform Engineers build and operate the internal developer platform that enables teams to ship secure, compliant, and reliable services quickly.

We focus on creating a great developer experience (DevEX) for infrastructure, deployments, and operations, allowing product teams to better focus their efforts on delivering business value and less time managing platform complexity.

• 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 application lifecycle through standardized APIs, templates, and automation
• Build and evolve platform primitives (e.g., Distributed application orchestration platforms, ingress, service networking, secrets management, policy controls, identity integration) that are reusable across teams
• 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 ensure a stable and measurable developer platform
• Drive platform reliability and operational excellence: 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/identity workflows, vulnerability remediation, and operational support for internal platform services
• Partner closely with application teams and stakeholders to understand friction points, prioritize platform roadmap, and deliver measurable improvements in developer experience and time‑to‑production
• Lead through influence and consensus: provide technical guidance, reviews, and mentorship to peers and junior engineers
• Own self‑development, continuously learning new technologies and domain context to operate as a subject‑matter expert (SME)

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or 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 Distributed application orchestration platforms / Open Shift and core platform components (networking, ingress, service discovery, storage, RBAC, admission control, multi‑tenancy).
• Experience implementing and standardizing CI/CD for multi‑team environments (preference for Git Hub Actions and Argo CD), including release strategies and deployment automation
• Experience with at least one major Cloud Service Provider (CSP) such as Azure/GCP/AWS
• Strong networking fundamentals (DNS, TLS, load balancing, routing, private connectivity)
• Strong security foundations across identity, application, data, network, and supply‑chain security (scanning, signing, SBOM, secrets handling, policy enforcement)
• Strong software engineering fundamentals; experience building internal tooling/automation with a preference for Go, Python, or Type Script
• Experience with algorithms and software engineering
• Exper…