Dell Software Engineer - Partition Performance Engineering in Seattle, Washington
We are looking for an Software Engineer to join our Partitioned Performance Engineering Team!
Isilon Systems, a division of Dell EMC, is the leader in scale-out storage systems and is transforming the way data is stored. At the forefront of the Big Data movement, our highly parallelized, distributed architecture has completely redefined the storage model. Isilon’s OneFS clustered storage and data management solutions enables enterprises and research organizations world-wide to manage massive and rapidly growing amounts of file/block based data in a highly-scalable, easy-to-manage, and cost effective way.
The Partitioned Performance team is responsible for implementing a cluster-wide scheduler that allows our customers visibility and control over the workloads they put against the cluster, allowing them to prioritize some workloads over others to meet their business objectives.
In this role, you’ll help design and implement the next generation of software to keep those business critical services at the state of the art and customer-friendly in a multi-threaded, distributed environment. You’ll also work with teams across Engineering to improve the aggregate cluster behavior in high-load situations.
Applicants need an interest in distributed, scalable systems, and should be fearless in frequently transitioning between programming in userspace (C++) kernel (C) and scripting (Python) languages. Applicants also need to be self-motivated and embrace a culture of technical excellence and high-quality execution.
Experience in developing network server software, storage systems or I/O sub-systems in a multi-threaded, distributed environment
Exceptional C/C++ programming skills
Excellent software architecture, design, implementation, test, debugging and problem-solving skills
Ability to work successfully as part of a team
Strong written and verbal communication skills
BS in Computer Science/Engineering or equivalent work experience
Client/server network services using POSIX/Windows sockets
Familiarity with the FreeBSD or other POSIX/UNIX operating systems
Experience with control systems or scheduling systems.
Experience in implementing and optimizing massively scalable algorithms is a plus
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