Engtal
Base pay range
$250,000.00/yr - $400,000.00/yr Our client is a quantitative trading firm looking for a Senior Python Engineer to architect and build the critical data science backbone that fuels their research and execution. This is a chance to move beyond typical development cycles and directly impact a global trading platform. You will be building the systems that support their quants and traders, handling petabytes of data on a hybrid CPU/GPU infrastructure. What Makes This Role Unique?
Impact at Scale:
You will own the core Python platform, building the very foundation that allows for global trading research. Your work will directly enable the rapid deployment of new strategies and technologies. Full-Stack Ownership:
You will be responsible for the entire system lifecycle, from initial design to production. This includes architecting for automation, robustness, and observability to ensure seamless performance in extreme market conditions. Direct Partnership with Quants:
You\'ll work side-by-side with the quantitative researchers. This close collaboration means you\'re not just writing code; you\'re actively accelerating research and solving complex problems that improve the daily operations. Autonomy and Modern Tooling:
You will work with a cutting-edge tech stack that includes Python (NumPy, Pandas/Polars, Cython), containerization (Docker, Kubernetes), and orchestration (Ansible, Terraform, Airflow). Who We're Looking For
An experienced engineer with a track record of building and scaling robust, distributed systems. A strong command of Python, with hands-on experience using key libraries like NumPy, Pandas/Polars, and Cython. Proficiency with containerization technologies such as Docker and Kubernetes. Experience with orchestration tools like Ansible, Terraform, or Airflow. Seniority level
Mid-Senior level Employment type
Full-time Job function
Inferred from the description for this job: Medical insurance; Vision insurance; 401(k). Benefits inferred from the description
Medical insurance Vision insurance 401(k)
#J-18808-Ljbffr
$250,000.00/yr - $400,000.00/yr Our client is a quantitative trading firm looking for a Senior Python Engineer to architect and build the critical data science backbone that fuels their research and execution. This is a chance to move beyond typical development cycles and directly impact a global trading platform. You will be building the systems that support their quants and traders, handling petabytes of data on a hybrid CPU/GPU infrastructure. What Makes This Role Unique?
Impact at Scale:
You will own the core Python platform, building the very foundation that allows for global trading research. Your work will directly enable the rapid deployment of new strategies and technologies. Full-Stack Ownership:
You will be responsible for the entire system lifecycle, from initial design to production. This includes architecting for automation, robustness, and observability to ensure seamless performance in extreme market conditions. Direct Partnership with Quants:
You\'ll work side-by-side with the quantitative researchers. This close collaboration means you\'re not just writing code; you\'re actively accelerating research and solving complex problems that improve the daily operations. Autonomy and Modern Tooling:
You will work with a cutting-edge tech stack that includes Python (NumPy, Pandas/Polars, Cython), containerization (Docker, Kubernetes), and orchestration (Ansible, Terraform, Airflow). Who We're Looking For
An experienced engineer with a track record of building and scaling robust, distributed systems. A strong command of Python, with hands-on experience using key libraries like NumPy, Pandas/Polars, and Cython. Proficiency with containerization technologies such as Docker and Kubernetes. Experience with orchestration tools like Ansible, Terraform, or Airflow. Seniority level
Mid-Senior level Employment type
Full-time Job function
Inferred from the description for this job: Medical insurance; Vision insurance; 401(k). Benefits inferred from the description
Medical insurance Vision insurance 401(k)
#J-18808-Ljbffr