Ddn

Staff Engineer - Devops

Bristol, Bristol, City of, United Kingdom · On-site · FullTime

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About the role

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EmployerDdn
LocationBristol, Bristol, City of, United Kingdom
Work styleOn-site
Employment typeFullTime
Employer posted2 months ago

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.

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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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