Sr. Software Engineer

Praxy; New York, Northern (NY, KY); Hybrid; USD 180,000 - 185,000; Full time

Job summary

Praxy in New York, NY is hiring a Sr. Software Engineer for a hybrid role with 2 days remote.

You will build and maintain the company’s compliance surveillance infrastructure, collaborating with quantitative engineers and Compliance stakeholders to translate complex requirements into scalable software designs. Responsibilities include architecting large-scale data pipelines and surveillance models for multi-terabyte datasets, designing schemas and queries, and ensuring regulatory alignment.

Qualifications

• Master’s degree in Computer Science or related field.
• Three years of software engineering experience with Python.
• Experience building production-grade Python apps and data pipelines.

Responsibilities

• Build and maintain the company’s compliance surveillance infrastructure.
• Collaborate with quantitative engineers, surveillance model developers, and Compliance stakeholders to translate requirements into scalable designs.
• Architect large-scale data pipelines and surveillance models for multi-terabyte datasets.
• Design database schemas and queries to efficiently handle big data.
• Ensure systems meet regulatory and operational requirements and are auditable.
• Document methodologies for regulatory examinations.

Skills

Python programming

Data processing

Cloud data pipelines

Surveillance systems

Team collaboration

Education

Master’s degree in Computer Science

Tools

Linux

Jira automation

REST API development

Git/Gerrit

Jenkins pipelines

Oracle SQL

Job description

Sr. Software Engineer (New York, NY) (Hybrid: Remote work permissible 2 days/week) (multiple positions)

Build, develop, and maintain company’s compliance surveillance infrastructure.Collaborate effectively with quantitative engineers, surveillance model developers, and Compliance stakeholders to translate complex business requirements into scalable software designs and processes.Architect and implement large-scale data pipelines and surveillance models that process massive volumes of financial data.Design database schemas and query logic to efficiently handle multi-terabyte surveillance datasets, ensuring data consistency and traceability.Ensure systems are stable and aligned with regulatory and operational requirements.Work with compliance department to implement necessary system and software changes to ensure effective market surveillance.Develop software to accelerate workflows and system monitoring.Document methodologies to withstand regulatory scrutiny and examination.Remote work permissible 2 days/week. Must work from NYC office 3 days/week.

Requires:

Master’s degree or foreign equivalent in Computer Science or related field, and three (3) years of experience in a software development/engineering position developing with Python (non-scripting).

Must have 3 years of experience with each of the following:

• Developing production-grade Python applications.
• Developing in a Linux environment, including command-line automation, package management, and deployment tasks.
• Pandas, Polars, NumPy, and Oracle SQL to build and manage large-scale data pipelines, and analytical models.
• Jira automation and REST API programming.
• Python Flask servers using RESTful APIs.
• Developing Jenkins pipelines for automated build, test, and deployment of Python applications.
• Trade and market surveillance model development.
• Analyzing financial data, including trade and securities data for market surveillance.
• Git and Gerrit for version control and peer code reviews.

The anticipated base salary range for this role is $180,000 to $185,000 per year, based on skills, experience, and location.

Pay

base salary range for this role is $180,000 to $185,000