Introduction

We are seeking a passionate and motivated Storage Engineering Intern to join our Innovation Lab team. This internship offers a unique opportunity to work on cutting-edge Proof of Concepts (PoCs) that explore the future of storage systems and infrastructure. You will collaborate with experienced engineers to design, prototype, and validate innovative storage solutions that push the boundaries of performance, scalability, and reliability.

What You’ll Gain

• Hands-on experience with real-world storage challenges and solutions.
• Mentorship from industry experts and exposure to advanced R&D practices.
• Opportunity to contribute to impactful PoCs that may influence future product directions.
• A collaborative and inclusive work environment that values creativity and curiosity.

Your role and responsibilities

• Assist in the design and development of back-end components for storage systems.
• Contribute to PoCs involving distributed storage, object storage, or cloud-native storage architectures.
• Write clean, efficient, and well-documented code in languages such as Go, Rust, Python, or C++.
• Collaborate with cross-functional teams including front-end developers, DevOps, and product managers.
• Participate in code reviews, testing, and debugging sessions.
• Research emerging technologies and propose innovative ideas for PoCs.
• Document technical findings and present outcomes to stakeholders.

Required education

Bachelor's Degree

Required technical and professional expertise

• Currently pursuing a bachelor's or master's degree in computer science, software engineering, or a related field. Know-how of AI/ML/DS is desired.
• Strong understanding of data structures, algorithms, and operating systems.
• Familiarity with storage concepts such as file systems, block storage, and object storage.
• Basic experience with back-end development and version control systems (e.g., Git).
• Eagerness to learn and explore new technologies in a fast-paced environment.

Preferred technical and professional experience

• Exposure to containerization (Docker, Kubernetes) and cloud platforms such as AWS, Azure, Google Cloud, or IBM Cloud.
• Knowledge of distributed systems or networking fundamentals.
• Understanding or exposure to SaaS and other "as-a-Service" models (e.g., IaaS, PaaS, STaaS).
• Experience with scripting and automation tools.
• Passion for innovation and problem-solving.