​Vultr is the world’s largest privately-held cloud infrastructure company, recently valued at $3.5 billion. Unlike typical DevOps roles that manage a company’s internal apps, this position involves building the actual cloud products that Vultr’s customers use. You will be working on the “engine room” of the cloud, developing and operating services like Vultr Kubernetes Engine (VKE), Load Balancers (VLB), and AI Inference platforms.

• ​Compensation: $75,000 – $100,000 USD
• ​Location: 100% Remote (United States)
• ​Experience: 3–5+ years in DevOps, SRE, or Cloud Engineering.
• ​Core Tech: Go (Golang), Kubernetes Internals, Terraform, Ansible.
• ​Focus: Cloud Provider Infrastructure and Container Runtimes.

​Cloud Product Engineering & Go Development

​This is a Go-first engineering role. You won’t just be using cloud tools; you will be building them. You will contribute directly to Vultr’s open-source ecosystem, including their Terraform Provider, Crossplane integrations, and the vultr-cli. Your work will involve writing code to manage Vultr’s global footprint of Cloud GPUs, Bare Metal, and Cloud Storage.

​Deep Kubernetes & Container Internals

​You will move beyond high-level orchestration into the internals of the Kubernetes ecosystem. This includes working with the kubelet, custom controllers, and CRDs. A key part of the role involves designing integrations for container runtimes like containerd and runc, ensuring that OCI images deploy reliably and securely across Vultr’s 32 global data center locations.

​Networking & Load Balancing

​You will help develop and enhance Vultr Load Balancers (VLB) and NAT Gateways. This requires a solid understanding of HAProxy, Envoy, or NGINX, and the ability to troubleshoot complex distributed systems. You’ll work on the networking layer (CNI) to ensure high-performance connectivity for thousands of active customers worldwide.

​Summary: You are building the cloud itself. By mastering Go and the deep internals of Kubernetes and container runtimes, you provide the high-performance infrastructure that powers the next generation of AI innovators and global enterprises.