As a Staff Engineer – Infrastructure Engineering & DevOps, you will play a key technical leadership role in designing, building, and evolving our hybrid infrastructure and developer platforms. You’ll work hands-on across cloud automation, high-performance bare-metal systems, and DevOps tooling to deliver reliable, scalable infrastructure that accelerates software delivery.
This role is highly cross-functional. You will collaborate closely with Development, DevOps, and QA teams to solve infrastructure and release challenges, support delivery cycles, and continuously improve platform capabilities. You’ll balance strong technical execution with architectural influence, contributing to system design while remaining directly involved in implementation and operational support.
Occasional in-person meetings or team events may be required.
Key ResponsibilitiesInfrastructure & Platform Engineering
Contribute to the design and evolution of hybrid infrastructure systems (cloud + bare metal)
Build and enhance internal tools and automation to improve scalability, reliability, and cost
efficiency
Implement and maintain infrastructure-as-code practices, platform APIs, and shared tooling
Support system designs that enable multi-tenant workloads, observability, and auditability
Engineering Collaboration & Delivery Support
Partner with Dev, DevOps, and QA teams to resolve infrastructure or deployment blockers
during release cycles
Provide technical guidance and mentorship to DevOps and platform engineers
Participate in architectural reviews, release readiness checkpoints, and root-cause analyses
Software Build & Release Pipelines
Design, implement, and operate build and release pipelines for hybrid environments,
including GPU-based bare-metal systems
Improve test orchestration, staging workflows, and artifact delivery pipelines
Integrate automation with infrastructure-level controls for access, audit, and security
compliance
10+ years of experience in infrastructure, platform, or DevOps engineering roles
Strong programming skills (e.g., Python, Go)
Hands-on experience with hybrid infrastructure (cloud + bare metal)
Deep knowledge of infrastructure-as-code tools (Terraform, Helm, Kubernetes)
Proven cross-functional collaboration skillsPreferred Qualifications
Experience with GPU-accelerated compute or HPC-style infrastructure
Familiarity with platform engineering or developer experience optimization
Experience with high-velocity release cycles and incident response
This position requires participation in an on-call rotation to provide after-hours support as needed.
Skills Required
- 10+ years of experience in infrastructure, platform, or DevOps engineering roles
- Strong programming skills in Python or Go
- Hands-on experience with hybrid infrastructure, including cloud and bare-metal systems
- Deep knowledge of infrastructure-as-code tools, including Terraform, Helm, and Kubernetes
- Proven cross-functional collaboration skills
- Experience with GPU-accelerated compute or HPC-style infrastructure
- Familiarity with platform engineering or developer experience optimization
- Experience with high-velocity release cycles and incident response
- Participation in an on-call rotation for after-hours support
What We Do
DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government and academia customers. Through its DDN and Tintri divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.
