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Staff DevOps Engineer (Remote)

DDN: Data Intelligence Platform Built for AI

Remote
Full-time
Staff
Salary not listedPosted 1d ago

Real job — pulled straight from DDN: Data Intelligence Platform Built for AI’s careers page · Verified August 12, 2026 · No reposts.

Job description

DDN: Data Intelligence Platform Built for AI is hiring a Staff DevOps Engineer (Remote) — a full-time, remote role. Apply directly on DDN: Data Intelligence Platform Built for AI's careers page below.

Staff Engineer - Devops

Department: Top Level - By Department

Location: Remote - United Kingdom

Employment Type: FullTime

Our DevOps team is at the forefront of innovation, driving high-performance and highly scalable emerging technologies with Infinia Software Defined Storage (SDS). Infinia SDS is designed to support multiple client protocols, delivering robust, enterprise-grade storage solutions for cutting-edge use cases. With a global presence of expert developers, QA, and DevOps engineers, we are transforming the way software-defined storage operates in both on-premises and cloud environments.

Why Join Us?

We provide a unique blend of on-premises and cloud DevOps—more than just managing infrastructure, you will have the chance to deploy critical applications on Kubernetes and shape infrastructure as code (IaC) from the ground up. Here’s a glimpse of the exciting work we do:

  • Infrastructure-as-Code: Constantly evolving our infrastructure with Terraform, Python, and Bash, building cloud infrastructure on GCP with future plans to expand into other cloud providers.

  • On-Premises Excellence: Develop and deploy self-sustaining infrastructure that delivers mission-critical applications faster, while enhancing flexibility and performance.

  • Build and Release Acceleration: Engineer build acceleration solutions by integrating with Nexus/JFrog Artifactory, streamlining build workflows, and connecting tools to self-managed artifact repositories.

Cutting-Edge Tools We Use:

Our infrastructure and tooling reflect our commitment to modern DevOps practices. Here’s how we empower engineers to stay at the top of their game:

  • Kubernetes and ArgoCD: Orchestrate scalable deployments with Kubernetes and leverage ArgoCD for automated and declarative application management.

  • Packer + MaaS: Create custom bare-metal images with Packer and deploy them seamlessly using MaaS (Metal as a Service) for Ubuntu.

  • K3s + KubeVirt: Build a self-provisioning VM environment to empower developers and QA engineers.

  • Infinia & Harbor: Utilize Infinia for S3 storage services, and Harbor for container image management.

  • GitHub Enterprise (GHE) + Actions: Collaborate using GHE, with DevOps leading the development and maintenance of workflow actions for CI/CD pipelines.

  • Docker: Build containerized environments for both cloud and on-prem applications.

  • Quay & GCS Buckets: Manage external artifacts with Quay and Google Cloud Storage (GCS).

What You’ll Work On:

  • Self-Deployable Environments: Our DevOps engineers are building a seamless, self-service environment to empower developers and QA teams.

  • Bare-Metal & Cloud Integration: Get hands-on experience with bare-metal provisioning using MaaS, while deploying infrastructure in hybrid models with GCP and expanding to other cloud providers.

  • Streamlining Build Systems: We integrate tools like Nexus/JFrog Artifactory to accelerate builds and optimize workflows, ensuring smoother development and faster delivery.

  • Constant Innovation: We believe in continuous improvement, constantly enhancing infrastructure-as-code to make deployments faster, more reliable, and easily replicable.


Required Skills:

All of the following skills are mandatory:

  • Application Deployments within Kubernetes using tools like Helm or ArgoCD.

  • Cloud experience with Oracle Cloud Infrastructure (OCI) is a plus; experience with other cloud providers is good to have.

  • Docker experience.

  • Configuration Management with Ansible or similar tools.

  • Monitoring and Metrics using Prometheus, Grafana, or equivalent.

  • Bash Scripting expertise.

  • CICD Pipeline Development using GitHub/GitLab, Jenkins, and related tools (e.g., YAML, Groovy).

  • Basic Linux Proficiency for underlying infrastructure management.

Preferred Skills:

The following skills are desirable but not mandatory:

  • Linux Administration, Networking, and Troubleshooting.

  • On-prem Kubernetes Deployment and Administration.

  • Virtualization experience.

  • Python or Golang programming knowledge.

  • CI/CD pipeline automation and scripting using languages like Python or Groovy.

  • CI system integration and optimization experience.

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Frequently asked questions

Is Staff DevOps Engineer (Remote) at DDN: Data Intelligence Platform Built for AI a remote job?

Yes, Staff DevOps Engineer (Remote) at DDN: Data Intelligence Platform Built for AI is a remote position. This role is open to remote candidates.

What skills are required for Staff DevOps Engineer (Remote) at DDN: Data Intelligence Platform Built for AI?

The required skills for Staff DevOps Engineer (Remote) at DDN: Data Intelligence Platform Built for AI include: Kubernetes, ArgoCD, Terraform, Python, Bash, GCP, Docker, GitHub Actions, Helm, Ansible, Prometheus, Grafana, Linux, CI/CD, GitLab, Jenkins, Groovy, Go.

What is the seniority level for Staff DevOps Engineer (Remote) at DDN: Data Intelligence Platform Built for AI?

Staff DevOps Engineer (Remote) at DDN: Data Intelligence Platform Built for AI is a Staff level position.

How do I apply for Staff DevOps Engineer (Remote) at DDN: Data Intelligence Platform Built for AI?

You can view the full description and apply for Staff DevOps Engineer (Remote) at DDN: Data Intelligence Platform Built for AI on EchoJobs: https://echojobs.io/job/ddn-data-intelligence-platform-built-for-ai-staff-engineer-devops-mdrqd.