CNS-Software Engineer/ Sr. Software Engineer, Cloud Product and Engineering Department (RS Cloud Div)

Job Description:About Organization

Rakuten Symphony's Cloud Business Unit provides a highly scalable Kubernetes based platform that provides secure distributed storage, networking and compute capabilities for next generation applications.

Our business is diverse and growing across Telecommunication, Enterprise, and Retail Customers in the Far East, EMEA, and Americas. Our engineering team is diverse spanning US, Dubai, Singapore, Japan, and Korea. We are seeking to grow the team in Japan and are looking for systems engineers from within and outside Japan to take our platform to the next level.

To Develop world classes cloud native Storage.

Why We Hire

Develop and support Cloud native storage for RMI

Job Duties

• Code in a variety of languages, primarily C/C++
• Design, implement, and maintain high-performance, scalable storage systems
• Be able to execute project in entirety from feature specification, design, implementation and validation with minimal supervision.
• Be able to create documentation such as design documents, feature specification and bug updates.
• Being able to create a work plan with verifiable milestones and time estimates and deliver project within estimates.
• Constructively collaborate with the team during design/code reviews.
• Interfacing with QA to come up with effective feature test plans.
• Being able to benchmark performance and identify and troubleshoot bottlenecks.

Work Environment

15 Storage Personal team spread across USA, India and Japan

Team contains people from Veritas, Netapp, Violin memory, Nutanix, Microsoft and VMware

C/C++, Python and Git

Minimum Qualifications

・2+ years of system software development experience.
・Strong C/C++ programming skills
・Python, Shell scripting, Linux experience
・1+ years experience developing Enterprise quality Filesystem/Storage software
・Ability to program both in kernel and user space
・Good understanding of multithreading and race conditions in concurrent systems.
・Good understanding of on-disk and in-memory data structures and algorithms with emphasis on performance
・Ability to work successfully as part of a team
・Strong written and verbal communication skills
・BS/MS/PhD in Computer Science/Engineering or equivalent work experience

Preferred Qualifications

・Experience in design and development of hyperconverged/distributed storage systems
・Experience in debugging and fixing data corruption issues
・Experience implementing erasure coding for data protection

Languages:

English (Overall - 4 - Fluent)