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
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 in Bash and/or Python
- Experience with configuration management tools (Ansible) and infrastructure automation
- Familiarity with monitoring and alerting systems (Nagios/CheckMK, Prometheus, Grafana)
- Understanding of virtualization (KVM, ESXi) and containerization (Docker, Podman)
- Knowledge of LDAP/IPA/AD and centralized identity management
Preferred Qualifications
- Experience with Kubernetes container orchestration
- PostgreSQL DBA experience
- NoSQL platform experience
- Experience in a high-throughput research or trading environment
- Exposure to RHEL/CentOS in enterprise settings
- Familiarity with CI/CD pipelines and DevOps principles
Top Skills
What We Do
Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning.
The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines.
Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.







