Senior Software Engineer (Python)

Fintal Partners; New York (NY); On-site; USD 250,000 - 400,000; Full time

Job summary

A quantitative trading firm in New York is seeking a Senior Python Engineer to architect and build their data science platform. The role involves managing the entire system lifecycle and collaborating closely with quantitative researchers. Candidates should have strong Python skills, experience with containerization technologies, and a track record in building distributed systems.

Qualifications

• Track record of building and scaling robust, distributed systems.
• Hands-on experience using libraries such as NumPy, Pandas/Polars, and Cython.
• Familiarity with containerization and orchestration tools.

Responsibilities

• Own the core Python platform and build the foundation for global trading research.
• Manage the entire system lifecycle with emphasis on automation and robustness.
• Collaborate with quantitative researchers to improve daily operations.

Skills

Strong Python proficiency

Building and scaling distributed systems

Containerization technologies (Docker, Kubernetes)

Orchestration tools (Ansible, Terraform, Airflow)

Tools

Python (NumPy, Pandas/Polars, Cython)

Docker

Kubernetes

Ansible

Terraform

Airflow

Job description

Overview

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.

Base pay range

$250,000.00/yr - $400,000.00/yr

What makes this role unique

• Impact at Scale: You will own the core Python platform, building the foundation that enables global trading research and rapid deployment of new strategies and technologies.
• Full-Stack Ownership: You will manage the entire system lifecycle, from design to production, with emphasis on automation, robustness, and observability for extreme market conditions.
• Direct Partnership with Quants: You will collaborate closely with quantitative researchers to accelerate research and solve complex problems that improve daily operations.
• Autonomy and Modern Tooling: You will work with a cutting-edge tech stack including Python (NumPy, Pandas/Polars, Cython), Docker, Kubernetes, Ansible, Terraform, and Airflow.

Who we're looking for

• An experienced engineer with a track record of building and scaling robust, distributed systems.
• Strong Python proficiency with hands-on experience using libraries such as 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