Telnyx - Infrastructure Engineer, Edge Compute
Requirements
• 1–3+ years of hands-on Kubernetes experience in production, including cluster-level operations and troubleshooting.- Strong Linux and container fundamentals.- Strong networking fundamentals, including TCP/IP, DNS, VPNs, firewalls, NAT, and routing.- Infrastructure-as-code and automation experience with tools such as Terraform/OpenTofu and Ansible.- Experience working with at least one major cloud provider and an understanding of cloud networking, compute, and storage.- Experience diagnosing production issues across multiple layers of the infrastructure stack.- Security mindset: you think about attack surfaces, tenant isolation, and running untrusted workloads safely. • Experience operating Kubernetes across multiple cloud providers or regions.- Experience with Kubernetes networking and CNI implementations such as Calico.- Firecracker, Kata Containers, or other microVM/container isolation technologies.- Container runtime experience, including containerd, cgroups, namespaces, or seccomp.- Knative or other serverless infrastructure.- Experience with ephemeral compute, sandboxing, CI runners, build systems, or other platforms that execute user-provided code.- BGP, WireGuard, or software-defined networking experience.- Rancher/RKE2 specifically.- Experience with Oracle Cloud Infrastructure (OCI).- Go or Python experience for infrastructure tooling and automation.
Responsibilities
• Deploy and operate Kubernetes clusters across multiple cloud providers and edge locations.- Build and maintain the networking that connects and isolates our edge infrastructure, including VPNs, routing, network policies, and firewalls.- Own infrastructure automation for cluster provisioning, configuration, upgrades, and recovery.- Manage infrastructure as code with Terraform/OpenTofu and configuration management tools such as Ansible.- Build and operate secure runtime environments for customer workloads, including containers, microVMs, and ephemeral sandboxed workloads.- Improve cluster reliability, observability, and capacity as the platform grows across providers and regions.- Build out Prometheus metrics and alerting for infrastructure and platform observability.- Harden workload and network isolation, and help define security boundaries for running untrusted customer code.- Participate in on-call and troubleshoot problems across Linux, containers, Kubernetes, networking, and cloud infrastructure.
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