Storage Team Lead at The Voleon Group

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Technology, Investment ManagementIndustries

Requirements

5+ years of Linux Systems Administration experience with significant recent focus on storage systems
2+ years of team leadership, technical project management, or mentoring experience
Deep knowledge of distributed filesystems such as Ceph and storage technologies including RAID, SAN, and NAS
Extensive hands-on experience operating Ceph (or other DFS) at PB scale, including planning, deployment, monitoring, troubleshooting, and performance optimization
Strong experience streamlining data lifecycle processes, including archiving, backup, and retention of PB-level data
Strong scripting/development experience

Responsibilities

Lead a small team of storage, database, and systems administrators with duties including mentorship, performance management, and career development
Align team priorities with organizational goals and ensure timely delivery of projects
Participate in hiring efforts to grow and evolve the storage engineering team
Coordinate on-call schedules and ensure effective incident response processes are in place
Architect, implement, and maintain highly available and performant storage systems
Define and drive automation strategies for storage deployment and monitoring
Oversee storage lifecycle management including capacity planning, performance tuning, and data protection strategies such as archiving and backups for large-scale datasets
Provide architectural guidance and hands-on support for Ceph at PB scale
Collaborate closely with networking, virtualization, research, and application teams to support diverse compute and storage needs
Participate in and improve CI/CD and configuration management processes with tools like Ansible and Git
Support database operations through database tuning, storage optimization, and collaboration with developers
Serve as an escalation point for advanced troubleshooting of distributed filesystems, databases, and high-performance storage infrastructure
Hands-on administration of Linux servers, network-attached storage, virtualization platforms, and cluster frameworks
Support and enhance observability using tools such as Prometheus, Grafana, Check_MK, and others

Skills

Linux

Ceph

Distributed Storage

Storage Systems

Automation

Backup

Archiving

Systems Administration

Database Administration

The Voleon Group

Investment management using machine learning algorithms

About The Voleon Group

Voleon focuses on investment management by utilizing machine learning to analyze financial market trends. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, setting it apart from traditional methods that rely on human intuition. Voleon serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. The company's goal is to provide data-driven insights that optimize investment returns while adapting to changing market conditions.

Berkeley, CaliforniaHeadquarters

2007Year Founded

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Paid Vacation

Paid Sick Leave

401(k) Retirement Plan

401(k) Company Match

Risks

Competition from other quantitative hedge funds may erode Voleon's market share.

Regulatory scrutiny on AI use in finance could increase compliance costs for Voleon.

Data quality issues could lead to inaccurate predictions and financial losses for Voleon.

Differentiation

Voleon uses machine learning for data-driven financial market predictions.

The firm serves institutional clients with a focus on scalability and risk management.

Voleon's academic approach emphasizes intellectual rigor and continuous learning.

Upsides

Increased interest in ESG investing offers new opportunities for Voleon's models.

Alternative data sources enhance predictive models for quantitative hedge funds like Voleon.

Cloud computing enables efficient scaling of Voleon's data processing capabilities.

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