HPC Production Engineer
Job Title: High-Performance Computing (HPC) Engineer
Join a leading high-frequency trading firm that leverages cutting-edge technology and sophisticated algorithms to trade in global financial markets. Our client is committed to innovation, speed, and precision, and we are looking for talented individuals to help us maintain and enhance our high-performance computing infrastructure.
Responsibilities:
- Design, implement, maintain, and support high-performance compute and storage systems.
- Optimize and manage large-scale, distributed HPC environments to ensure low-latency and high-throughput performance.
- Develop and maintain performance monitoring and fault-tolerant systems.
- Collaborate with quantitative researchers and traders to optimize their use of HPC resources.
- Automate repetitive tasks and processes using scripting languages (e.g., Python, Bash).
- Troubleshoot and resolve complex technical issues related to HPC infrastructure.
- Participate in on-call rotation to provide 24/7 operational support.
- Document system configurations, procedures, and best practices.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- 5+ years of experience in high-performance computing, preferably in a high-frequency trading environment.
- Proficiency in Unix/Linux systems administration and networking protocols.
- Strong programming and scripting skills in languages such as Python, C/C++, or Go.
- Experience with configuration management tools (e.g., Ansible, Puppet, SaltStack).
- Familiarity with parallel file systems (e.g., Lustre, GPFS) and batch systems (e.g., Slurm, Grid Engine).
- Excellent problem-solving skills and the ability to perform root cause analysis.
- Strong communication skills and the ability to work collaboratively in a fast-paced environment.
Preferred Qualifications:
- Experience with low-latency networking and market data distribution.
- Knowledge of financial markets and trading systems.
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
How to Apply: Interested candidates are encouraged to submit their resume detailing their relevant experience and why they are a good fit for this role.
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