Senior Software Engineer (Python)
Senior Python engineer at a quantitative trading firm, owning the core Python data platform used by quants and traders — designing, automating, and running distributed data systems (petabytes, hybrid CPU/GPU) with NumPy/Pandas/Polars/Cython, Docker/Kubernetes, and Ansible/Terraform/Airflow, based in New York.
- Compensation
- Not disclosed
- Location
- New York, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Track record building and scaling robust, distributed systems
- Strong command of Python with hands-on experience using NumPy, Pandas/Polars, and Cython
- Proficiency with containerization technologies such as Docker and Kubernetes
- Experience with orchestration tools like Ansible, Terraform, or Airflow
Full description
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.
You could be just the right applicant for this job Read all associated information and make sure to apply.
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. xzgxqkn
- Experience with orchestration tools like Ansible, Terraform, or Airflow.