Sr. Staff Engineer – Infrastructure Engineering & DevOps

Overview: This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing. "DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC “The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence. Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management. Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage. Job Description: As a Senior 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 Responsibilities Infrastructure & 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 Required Qualifications 12+ 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 skills Preferred 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. DDN: Join our dynamic and driven team, where engineering excellence is at the heart of everything we do. We seek individuals who love to challenge themselves and are fueled by curiosity. Here, you'll have the opportunity to work across various areas of the company, thanks to our flat organizational structure that encourages hands-on involvement and direct contributions to our mission. Leadership is earned by those who take initiative and consistently deliver outstanding results, both in their work ethic and deliverables, making strong prioritization skills essential. Additionally, we value strong communication skills in all our engineers and researchers, as they are crucial for the success of our teams and the company as a whole. Interview Process: After submitting your application, one of our recruiters will review your resume. If your application passes this stage, you will be invited to a 30-minute interview during which a member of our team will ask some basic questions. If you clear the interview, you will enter the main process, which can consist of up to four interviews in total: Coding assessment: Often in a language of your choice. Systems design: Translate high-level requirements into a scalable, fault-tolerant service (depending on role). Real-time problem-solving: Demonstrate practical skills in a live problem-solving session. Meet and greet with the wider team. Our goal is to finish the main process in 2-3 weeks at most. DataDirect Networks (DDN) is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. #LI-Remote