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Staff Engineer - Devops

DDN
Bristol OfficeFull-time

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Full 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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