Senior Software Engineer (Python)

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

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A quantitative trading firm in New York is seeking a Senior Python Engineer to architect and build their data science systems. This role involves owning the core Python platform, collaborating closely with quantitative researchers to enhance trading strategies, and managing the entire system lifecycle. Ideal candidates should have strong Python skills and experience with containerization technologies. The position offers a full-time contract with competitive compensation.

Qualifications

• Experienced engineer with a track record of building and scaling systems.
• Strong command of Python, using key libraries like NumPy and Pandas.
• Proficiency with containerization technologies such as Docker and Kubernetes.

Responsibilities

• Architect and build the data science backbone for trading.
• Own the core Python platform and system lifecycle.
• Collaborate closely with quantitative researchers.

Skills

Building and scaling robust, distributed systems

Strong command of Python

Hands-on experience with NumPy

Proficiency in Pandas/Polars

Experience with Docker

Experience with Kubernetes

Experience with Ansible

Experience with Terraform

Experience with Airflow

Job description

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)