Staff Cloud Support Engineer

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.

We are looking for a Staff Cloud Support Engineer to join our innovative team as we expand our Infinia Next Gen Software Defined Storage (SDS) offerings across major cloud platforms, including GCP, OCI, AWS, and Azure. This role will involve supporting and optimizing multi-cloud deployments, ensuring seamless operation of SDS solutions across various protocols, including S3, NFS, Parallel File Systems, CSI, Cinder, Hadoop, and Spark.

As a Staff Cloud Support Engineer, you will be responsible for providing technical expertise, leading complex troubleshooting, and collaborating with both internal teams and cloud vendors to deliver exceptional service to global customers across US, EMEA, and APAC time zones.

Key Responsibilities:

Technical Support & Troubleshooting:

Provide expert-level support for multi-cloud SDS deployments.
• Diagnose and resolve issues related to client protocols like S3, NFS, Parallel File Systems, CSI, Cinder, Hadoop, and Spark.
• Lead root cause analysis and recommend proactive solutions for recurring issues.

Cloud Platform Operations:

• Manage and support SDS integrations with cloud platforms (GCP, OCI, AWS, Azure).
• Optimize configurations to enhance performance, scalability, and availability.

Collaboration and Vendor Engagement:

• Collaborate with cloud vendors to address platform-specific challenges and optimize deployments.
• Work closely with internal development and DevOps teams to refine and enhance SDS capabilities.

Monitoring and Automation:

• Implement monitoring tools to proactively identify and mitigate potential issues.
• Develop automation scripts for repetitive tasks, including deployment and troubleshooting.

Documentation and Knowledge Sharing:

• Maintain and update technical documentation for SDS deployments and cloud integrations.
• Mentor junior engineers and share best practices for managing multi-cloud environments.

Multi-Cloud Strategy:

• Contribute to expanding SDS solutions across additional cloud platforms.
• Ensure compliance with industry standards and cloud provider policies.

Qualifications:

Technical Skills:

• Strong expertise in storage protocols such as S3, NFS, Parallel File Systems, CSI, Cinder.
• Familiarity with big data frameworks like Hadoop and Spark.
• Proficiency in deploying and managing workloads on cloud platforms like GCP, OCI, AWS, Azure.
• Hands-on experience with Kubernetes and container orchestration tools.
• Scripting and automation skills (Python, Bash, Terraform, etc.).
• Deep understanding of cloud networking and security principles.

Soft Skills:

• Excellent communication and customer engagement skills.
• Strong problem-solving and analytical abilities.
• Ability to work effectively across multiple time zones in a 24/7 support model.

Preferred Qualifications:

• Ideal Years of Experience: 8-10 years
• Cloud certifications (e.g., GCP Professional Cloud Architect, AWS Solutions Architect, Azure Administrator).
• Experience with multi-cloud monitoring tools and DevOps workflows.
• Familiarity with high-performance storage systems and distributed environments.

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