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 object storage systems.
- Work with senior storage engineers to help them design, improve, and deploy technical and application solutions to meet business requirements
- 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.
- Knowledge transfer to Support team on the new features developed.
- Ensure that root-cause analysis is identified and knowledge gained is applied for process improvement.
- 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 for Enterprise and High-Performance Enterprise.
・Experience in debugging and fixing issues in a distributed software stack that scale outs across thousands of nodes.
・Experience in debugging and fixing data corruption issues
・Experience in implementing data protection using erasure coding and/or RAID.
・Experience in compute, storage and network virtualization techniques.
・Experience in developing fault tolerance for no service interruption.
・Experience in I/O path performance engineering.
・Basic understanding of HTTP and REST
・Basic understanding of distributed object storage like Amazon S3
・Basic understanding of widely used storage software’s like key/value stores, SQL.
Languages:
English (Overall - 4 - Fluent)