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Staff Engineer - Devops

DDN

Location

London, England, UK

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

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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