Senior Software Engineer (Python)

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.