
Linux Infrastructure Engineer
1 day ago
Job Description
This role is for a Linux engineer to work on building and operating foundational platforms that power cutting-edge quantitative research, analytics, and portfolio implementation. The ideal candidate will be responsible for designing, scaling, and automating compute and storage platforms that allow researchers and portfolio managers to run advanced models and experiments.
The successful candidate will have expertise in distributed file systems (Lustre, GPFS) and a variety of filesystems (ZFS, XFS, ext4). They will also have strong knowledge of Linux (RHEL/CentOS/Ubuntu) configuration, troubleshooting, and performance tuning. Additionally, they will have familiarity with x86/AMD platforms optimized for both transaction speed and distributed parallel processing.
Required Skills and Qualifications
- 5+ years of engineering, deployment, and management of large-scale (250+ servers) Linux infrastructure, ideally in financial services or HPC environments.
- Expertise in distributed file systems (Lustre, GPFS) and a variety of filesystems (ZFS, XFS, ext4).
- Strong knowledge of Linux (RHEL/CentOS/Ubuntu) configuration, troubleshooting, and performance tuning.
- Familiarity with x86/AMD platforms optimized for both transaction speed and distributed parallel processing.
- Networking knowledge: 10GE/25GE, InfiniBand, RoCE, RDMA.
- Experience with Linux software RAID, hardware RAID, erasure encoding.
- Infrastructure automation skills: Terraform, Ansible, Puppet, Chef.
- Scripting: Python and Shell.
- Protocol knowledge: NFS (v4.1), CIFS, SMB, ACLs.
- Hybrid and cloud-native HPC deployment experience (AWS preferred).
- Familiarity with AWS storage services (S3, Storage Gateway, EBS).
- Knowledge of AI/ML HPC offerings on cloud platforms (AWS/GCP).
- Experience with HPC job schedulers (Slurm, Condor, Airflow, SGE).
- Hardware familiarity: HPE, Dell, Supermicro systems.
- Commitment to the highest standards of engineering and operational excellence.
Why This Role Stands Out
- Not just Linux admin/support → You'll architect, engineer, and automate large-scale HPC platforms used for quantitative finance and advanced research.
- Work on mission-critical systems enabling portfolio managers and researchers to test and run complex models.
- Exposure to cutting-edge HPC, cloud, and AI/ML workloads at scale.
- Collaborate in a fast-paced, innovation-driven environment where infrastructure is seen as a strategic enabler, not a back-office function.
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