Staff Engineer - Devops
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Reach the decision-maker — $5About the role
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?**
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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:**
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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:**
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* 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:**
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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:**
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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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