The Research & Development team at Hudson River Trading (HRT) builds and maintains the computers, networks, data storage, operating systems, and software that allow our trading strategies and research environment to operate worldwide 24/7.
We are looking for a Storage Strategist who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced hands-on environment.
In this role, you will own the vision, planning and execution of HRT's current and future storage needs.
Given HRT's growth and ever-evolving needs (especially when it comes to AI), this is a unique opportunity to set the direction for future storage solutions and work across engineering teams to deliver it.
You will drive engagement with all stakeholders — internal users and both external and internal technology providers — understand their product portfolio and roadmap, and build a strategy for HRT that is inclusive of financial modeling.
Responsibilities Own the overall charter of delivering performant, reliable, and future-proof storage solutions for all of HRT storage needsCollaborate and drive efforts across multiple (internal) cross-functional engineering teamsImprove user experience by understanding storage workloads and designing a variety of solutions and toolsForecast future storage needs, research new storage solutions, and build a five and ten year roadmapDraw insights from a deep understanding of hardware infrastructure and industry trends to inform the roadmap and planning decisionsReview deliverables and provide relevant guidance to engineering teamsTroubleshoot complex storage, OS, and networking issuesIntegrate storage systems with HPC clusters, ensuring compatibility with existing hardware and softwareParticipate in an on-call rotation to ensure continuous support for HRT's operations, responding promptly to critical storage issues and incidents.Qualifications 10+ years of experience in HPC-like environments with multi-PB storage deploymentsExperience in developing advanced storage software solutions and/or leading software development team(s)Deep expertise in HPC and scale-out enterprise storage solutionsKnowledge of distributed file systems used for large-scale cluster computing (Lustre, GPFS, WEKA, S3, CEPH, etc.
)Strong leadership, communication, and stakeholder management skillsDeep technical understanding of commodity storage technologiesKnowledgeable on storage industry trendsDeep technical understanding of server architecture, design, and development, with emphasis on power and performance analysisAbility to analyze and solve problems under quick turnaround timesAbility to manage time efficiently, balancing independent and collaborative workflowsProficient in Python and UNIX/Linux shell scripting
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