Source Job

$80,000–$100,000/yr
US

  • Build, maintain, and operate Vultr's Ceph-based Cloud Storage environments with a focus on stability and scalability.
  • Develop automation frameworks and optimize metrics collection and alerting systems.
  • Collaborate with cross-functional teams for capacity expansion, maintenance, and design decisions.

Linux Ceph Python Bash Kubernetes

9 jobs similar to Storage Operations Engineer

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$80,000–$100,000/yr
US

  • Operate and enhance distributed cloud storage environments with focus on stability and performance.
  • Develop automation frameworks and scripts to reduce manual work and increase reliability.
  • Optimize monitoring and observability systems to proactively resolve infrastructure issues.

This partner company provides large-scale cloud storage infrastructure, with a focus on software-defined storage. They are a fast-growing organization that values technical excellence and operational ownership.

$80,000–$105,000/yr
US

  • Collaborate with Engineering teams to research and develop new features, respond to technical debt, and improve application performance.
  • Design, develop, and maintain storage-related contributions to our control plane written in PHP, and integrate orchestration code in Python.
  • Contribute to the open-source Ceph project, ensuring its reliability, performance, and features meet our customers’ goals.

Vultr provides high-performance cloud infrastructure for enterprises and AI innovators globally. With 33 data centers and over a decade of self-funding, it is the world's largest privately-held cloud infrastructure company, valued at $3.5 billion.

US

  • Deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms.
  • Own the storage layer where Kubernetes meets bare metal, tuning NFS data paths for high-throughput workloads.
  • Automate storage provisioning with infrastructure-as-code and GitOps, ensuring observability and reliability.

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI and data-intensive applications. With deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams across hybrid, edge, and sovereign environments, fostering a culture of open-source innovation and collaboration among passionate, talented colleagues.

$135,000–$160,000/yr

  • Lead and grow a high-performing team of storage engineers and operators across multiple regions.
  • Own the technical delivery for Vultr's block, object, and file storage products across all performance tiers.
  • Ensure five-nines availability, durability, and performance SLAs across the global storage fleet.

Vultr provides high-performance cloud infrastructure solutions including compute, GPU, bare metal, and storage services globally. With 33 global data centers and hundreds of thousands of active customers across 185 countries, Vultr is the world's largest privately-held cloud infrastructure company.

US

  • Deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms, owning the storage layer where Kubernetes meets bare metal.
  • Tune NFS data paths for high-throughput, low-latency GPU/AI workloads, integrating NFS-based storage into clusters via CSI, storage classes, and persistent volumes.
  • Automate storage provisioning with infrastructure-as-code (Terraform/OpenTofu) and GitOps pipelines, and build monitoring and observability for storage performance and health.

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. The company combines open source innovation with deep Kubernetes expertise, empowering platform engineering teams across on-premises, cloud, edge, and sovereign data centers.

US

  • Design and build control-plane services and drivers for storage integration with Kubernetes-based AI workloads.
  • Write production-quality Go code with strong testing and operational rigor.
  • Deliver storage integration for k0s-based Kubernetes via Cluster API and K0rdent topologies.

Mirantis is a Kubernetes-native AI infrastructure company that builds scalable, secure infrastructure for AI and data-intensive applications. It is committed to open standards and freedom from lock-in, empowering platform engineering teams.

$90,000–$100,000/yr

  • Design, build, and maintain OS images for Vultr's Cloud Compute and Bare Metal platforms across Windows, Linux, and BSD distributions.
  • Convert legacy boot-up configuration scripts to cloud-init for consistent provisioning across all operating systems.
  • Manage the full lifecycle of marketplace applications, from onboarding new apps to updating and maintaining existing ones.

Vultr makes high-performance cloud infrastructure easy to use and affordable for enterprises and AI innovators worldwide. With 33 global data centers and hundreds of thousands of customers, it is a privately-held company with a $3.5 billion valuation, known for its flexible, scalable solutions and a culture of self-funding and growth.

US

  • Design, deploy, and operate enterprise storage platforms including NetApp ONTAP, Pure Storage, and Ceph.
  • Manage SAN, NAS, and object storage across data center, edge, and cloud environments.
  • Automate storage operations using Ansible, Terraform, and REST APIs.

The company is a technology-focused organization that designs and operates enterprise-scale storage environments. The company culture emphasizes collaboration, automation, and technical ownership, with a focus on modern infrastructure.

Germany

  • Design and develop core networking components for a large-scale Virtual Private Cloud, including control-plane and data-plane systems.
  • Improve scalability, performance, and resilience of critical network services, implementing capabilities like IPv6, VPC peering, and load balancing.
  • Collaborate with engineering teams to deliver reliable, secure networking and participate in design reviews and coding interviews.

Our partner is a leading cloud infrastructure platform, enabling large-scale AI and cloud services. They foster a highly technical, international engineering environment with a trust-based culture and strong emphasis on ownership and continuous improvement.