
Linux Systems Architect for Advanced Research
12 hours ago
Job Title: Senior Linux Engineer - Quantitative Research
We are seeking a highly skilled technologist to join our team.
This role will be responsible for designing, scaling and automating large-scale HPC platforms used for quantitative finance and advanced research.
The successful candidate will have extensive experience in engineering, deployment and management of large-scale Linux infrastructure, ideally in financial services or HPC environments.
The ideal candidate will possess expertise in distributed file systems, strong knowledge of Linux configuration, troubleshooting and performance tuning, as well as familiarity with x86/AMD platforms optimized for both transaction speed and distributed parallel processing.
The candidate should also have experience with Linux software RAID, hardware RAID, erasure encoding, and infrastructure automation skills including Terraform, Ansible, Puppet and Chef.
Additionally, the candidate should have experience with HPC job schedulers such as Slurm, Condor, Airflow and SGE, as well as familiarity with AWS storage services and cloud-native HPC deployment experience.
The selected individual will collaborate in a fast-paced innovation-driven environment where infrastructure is seen as a strategic enabler not a back-office function.
This is an exceptional opportunity for a talented technologist to make a significant impact on our business.
Key Responsibilities:
- Design and manage quant research platforms and HPC environments.
- Research and experiment with new centralized multi-tenant clustered platforms.
- Troubleshoot complex issues across storage, OS and networking layers.
- Build tools to improve performance, monitoring and automation of HPC clusters.
- Drive efficiency through automation of provisioning and housekeeping.
Requirements:
- 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 and variety of filesystems.
- Strong knowledge of Linux 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.
What Sets This Role Apart:
- 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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