Leads a storage engineering team while architecting and operating highly available Linux-based storage, datacenter, and data-protection infrastructure. The role requires deep Ceph experience, PB-scale archiving and backup expertise, hands-on troubleshooting, and team leadership.
Rotates across credit, equity, forex, and derivatives desks to monitor execution algorithms, manage portfolio risk, interface with brokers, and build trading automation under senior mentorship in a machine learning-driven hedge fund.
Manages production and development relational databases (primarily PostgreSQL), handling operations like backups, performance tuning, monitoring, and automation. Collaborates with infrastructure teams on storage, OS, and networking for optimal reliability and performance.
Site Reliability Engineer improves, manages, and monitors production-critical infrastructure and data pipelines in a finance AI/ML firm. Collaborates on fault-tolerance, deployments, automation, and on-call incident response using Python, Linux, and cloud tools. Requires 2+ years experience and quantitative degree.
Designs and builds distributed systems for scheduling, workflows, and storage abstractions powering research and trading in hybrid environments. Requires 5+ years experience in scalable services, modern languages like Python/Go, and Linux with strong system design skills.
Senior SRE scales and maintains high-performance research compute clusters for machine learning in finance, ensuring uptime, reliability, and observability across on-prem and cloud infrastructure. Requires 5+ years SRE/DevOps experience with HPC frameworks, IaC, and cloud services.
Builds, automates, and maintains scalable, secure Linux infrastructure using modern tooling. Requires 7+ years Linux sysadmin experience, deep OS/network knowledge, Python/Ruby scripting, config management (Ansible/Puppet/Chef), and monitoring (Prometheus/Grafana).
Develops production trading systems and data pipelines for machine learning in finance, designing real-time distributed systems, integrating markets, owning observability, and leading cross-team projects. Requires 5+ years in scalable distributed systems and cloud expertise.
Leads a storage engineering team while architecting and operating highly available Linux-based storage, datacenter, and data-protection infrastructure. The role requires deep Ceph experience, PB-scale archiving and backup expertise, hands-on troubleshooting, and team leadership.
Rotates across credit, equity, forex, and derivatives desks to monitor execution algorithms, manage portfolio risk, interface with brokers, and build trading automation under senior mentorship in a machine learning-driven hedge fund.
Manages production and development relational databases (primarily PostgreSQL), handling operations like backups, performance tuning, monitoring, and automation. Collaborates with infrastructure teams on storage, OS, and networking for optimal reliability and performance.
Site Reliability Engineer improves, manages, and monitors production-critical infrastructure and data pipelines in a finance AI/ML firm. Collaborates on fault-tolerance, deployments, automation, and on-call incident response using Python, Linux, and cloud tools. Requires 2+ years experience and quantitative degree.
Designs and builds distributed systems for scheduling, workflows, and storage abstractions powering research and trading in hybrid environments. Requires 5+ years experience in scalable services, modern languages like Python/Go, and Linux with strong system design skills.
Senior SRE scales and maintains high-performance research compute clusters for machine learning in finance, ensuring uptime, reliability, and observability across on-prem and cloud infrastructure. Requires 5+ years SRE/DevOps experience with HPC frameworks, IaC, and cloud services.
Builds, automates, and maintains scalable, secure Linux infrastructure using modern tooling. Requires 7+ years Linux sysadmin experience, deep OS/network knowledge, Python/Ruby scripting, config management (Ansible/Puppet/Chef), and monitoring (Prometheus/Grafana).
Develops production trading systems and data pipelines for machine learning in finance, designing real-time distributed systems, integrating markets, owning observability, and leading cross-team projects. Requires 5+ years in scalable distributed systems and cloud expertise.