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Infrastructure Engineer, Edge Compute

Telnyx· Infrastructure Engineering
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Hybrid (EMEA, USA)Posted 1w ago

About the role

Infrastructure Engineer focused on deploying and operating Kubernetes at scale across multiple clouds and edge locations, with emphasis on automation, observability, security, and on-call reliability.

Responsibilities

  • Deploy and operate Kubernetes clusters across multiple cloud providers and edge locations.
  • 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.

Qualifications

  • 3–5 years of hands-on Kubernetes experience in production, including cluster-level operations and troubleshooting.
  • Strong Linux and container fundamentals.
  • 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.

Skills

Required:KubernetesLinuxContainerizationInfrastructure as CodeCloud ProvidersSecurity
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Telnyx

Telnyx owns the full stack from carrier network to AI inference, so there's nothing between your agent and the person on the other end. No handoffs. No lag. Just voice, messaging, and AI that keeps up.

Carrier-owned global communications platform for voice AI agents, SIP trunking, programmable voice, SMS/MMS, and AI inference. Single vendor for the full voice-AI stack on a Tier-1 network across 40+ countries.

Cloud communicationsGlobal eSIMMessagingPhone number APIPrivate networkProgrammable SMSSIP trunkingVoIP
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