Director of DevOps, Product Security

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November 12

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DDN

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Artificial Intelligence • Data Center and Cloud Computing • High Performance Computing

DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.

1001 - 5000 employees

Founded 1998

🤖 Artificial Intelligence

💰 $10M Funding Round on 2011-06

📋 Description

• Lead and grow a cross-functional team responsible for DevOps, SRE, and infrastructure automation for the Infinia platform. • Architect and evolve CI/CD pipelines using tools such as Jenkins, ArgoCD, and related automation frameworks. • Oversee deployment automation, monitoring, and observability across multi-cloud environments (AWS, GCP, Azure). • Identify root causes of system inefficiencies and implement long-term, scalable solutions that improve uptime and performance. • Drive infrastructure-as-code, cost optimization, and scalability strategies to support large-scale enterprise and AI workloads. • Partner with development and product teams to integrate security-by-design principles into DevOps workflows. • Ensure platform reliability, performance, and compliance with key standards (SOC2, FedRAMP, ISO27001, NIST). • Foster a culture of automation, reliability, and continuous improvement across the engineering organization.

🎯 Requirements

• 10+ years of experience in DevOps, SRE, or Platform Engineering, with at least 5 years in a technical leadership role. • Proven expertise with DevOps toolchains (e.g., Jenkins, ArgoCD, GitOps, Terraform, Ansible). • Strong experience with public cloud environments (AWS, GCP, Azure) and multi-cloud architecture. • Demonstrated ability to analyze systemic issues and implement permanent, scalable fixes. • Strong background in CI/CD automation, observability, and infrastructure management. • Excellent communication and collaboration skills with cross-functional engineering and product teams. • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities