DDN Storage is the world leader in high performance and massively scalable data management and storage solutions that accelerate business results and scientific insights for data-centric organizations worldwide. Our unified, end-to-end platform uniquely addresses the tiered storage and large-scale data management demands of mixed workloads, multiple collaborative data centers and Web and cloud environments. Across traditional and commercial high-performance markets, customers rely on DDN Storage to solve the most demanding big data problems in industries such as cloud, online content and social networking, security and intelligence, life sciences, finance, energy, and media production. This is a hybrid role and will need to go into the Wheatridge, CO office as needed.

We are looking for a Lead DevOps Engineer for our DevOps Infinia Storage engineering team who will assist with designing, implementing, and maintaining scalable backend infrastructure that is used for the QA, Support and Engineering team’s product development.

Responsibilities for this role include but are not limited to:

• Understands the importance of monitoring and can implement solutions that will actively notify and try to correct critical infrastructure problems.
• Comfortable working with scalable backend infrastructure for QA, Support and Engineering based on VM and container virtualization technologies like KVM, VMware, Docker, Kubernetes, and KubeVirt.
• Enjoys working on computer networks including switches, VPNs, routers, and other physical hardware within a self-managed lab environment.
• Creates complex CI/CD pipelines in GitHub Enterprise through the automated building of code, deploying to multiple environments including bare metal servers, containers on bare metal servers and Kubernetes pods, running repeatable tests in different configuration.
• Comfortable using container and orchestration technologies to provide enterprise framework of deploying containers and running services at scale.
• Debug high level failures that an end user might see like service not starting down through the various layers of automation to find root cause in a complex lab environment.
• Leverage programming knowledge to write production level code in Linux Shell, Python, and Go where needed.
• Occasionally perform emergent data center work onsite at our Lab located in Wheat Ridge, CO. and assist in the remediation of critical services and service outages.

Qualifications:

• Bachelor's degree in CS or related technical field with a minimum of 7 years of relevant industry experience
• Demonstrated knowledge in working within a self-managed lab environment with physical servers, switches, drives, cables, and data center related tools.
• Expertise in Linux systems administration, including managing servers, operating systems, and network configurations.
• Proven expertise deploying, maintaining, and extending GitHub Actions or similar CICD environments and their usage.
• Expert in using deployment and automation tools to quickly bring up new systems and recovery failed systems and environments including Ansible, Puppet, Chef, Terraform, and MAAS.
• Strong grasp and demonstratable experience in orchestration technologies like Kubernetes and Docker
• Working knowledge of Configuration Management such as Ansible, Terraform, Chef, Puppet, etc.
• Strong working knowledge of Python, Linux Shell, Ansible languages required, Go strongly preferred.
• Working knowledge of GCP, Azure, and / or other cloud and cluster-based Infrastructure

Compensation is based on your specific location, and, for this location the target is approx. $130k plus an annual bonus. Depending on skills and experience.