Hands-on SW architect for TRC Cloud Storage

Description

About the Role: This team is responsible for designing and developing cutting-edge technologies that power AI applications in the cloud. We want you on our team if you're passionate about innovating cloud solutions and accelerating AI capabilities. This role requires strong system-level understanding, creativity, and a knack for solving complex challenges. If you're a self-motivated team player with excellent communication skills and want to contribute to the future of cloud technology, this is the perfect opportunity for you.

Responsibilities:

• Research, design, and develop cloud storage features that enable next-gen AI applications.
• Optimize application performance through deep analysis of system bottlenecks and decision-making processes.
• Stay ahead of global trends in cloud storage and AI to help shape the long-term architecture of our cloud solutions.
• Collaborate with cross-functional global teams to drive innovative solutions and continuously improve technologies.

Requirements

• MSc in Computer Engineering, Computer Science, or a related field (PhD is a plus).
• 5+ years of hands-on experience in software development in Linux environments
• Proven expertise in designing complex distributed systems
• Strong system-level understanding with a focus on enhancing and optimizing existing code
• Ability to analyze academic papers and study emerging technology trends
• Exceptional leadership skills and a proven track record of working with global teams.
• Excellent communication skills, self-organized, detail-oriented, and able to manage multiple deadlines in a fast-paced environment.

Skills

• Strong understanding of memory-tiering and caching techniques
• Expertise in C++ and Python programming languages
• Experience in storage or memory domains is a plus
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure is a plus
• Knowledge of cutting-edge AI research and emerging data processing technologies
• Advanced Python skills, with experience implementing ML/AI libraries
• Hands-on experience with LLM and multimodal AI model training pipelines is a plus
• Performance optimization expertise for cloud-based applications

We'd love to hear from you if you're ready to tackle the challenges of tomorrow’s cloud technologies and help revolutionize AI-driven storage solutions!