Python Developer

Hire IT People

McLean, United States of America

1 month ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

McLean, United States of America

Confluence

JIRA

Automation of Tests

Continuous Integration

Relational Databases

Linux

DevOps

Django

Gradle

Python

NumPy

Mockito

Flask

Gitlab

GIT

FastAPI

Pandas

Pytest

Information Technology

REST

Code Restructuring

Docker

Jenkins

Microservices

Python, Rest API (Flask or Fast API), Pandas or NumPy, Pytest or Unitest. Focus here is on test automation., * Engineer capable of designing solutions, writing code, testing code, automating test and deployment
Develop and maintain high-quality software code and automated tests (including Unit, Functional, Performance, Acceptance) for web interface application that integrates data, analytics, and reporting components
Predictable results: changes in code can be proven to be correct and bug-free
Production resilience: system must be highly available with minimal downtime
High performance: develop scalable calculations to maintain performance over large data sets
Ready, willing, and able to pick up new technologies and pitch in on story tasks (design, code, test, CI/CD, deploy, etc.)

Strong Proficiency in Python programming language, including experience with frameworks such as Flask, Django and FastAPI
Experience with RESTful APIs and microservices architecture, and an understanding of how to design and implement them effectively.
Back End Skills: Python, Django/Flask/FastAPI, NumPy, pandas and Relational Database
Refactoring Skills: Knowledge of how to refactor code to improve its quality, maintainability, performance, and scalability while preserving its functionality.
Automation Testing: Pytest, Unitest, Monkey patch, pytest-mockito etc.
Build CI/CD Tools: gradle, Jenkins, git, Conda, pip, Jira, Gitlab, Confluence
DevOps: Linux & Docker, * Bachelors degree, ideally in Financial Engineering, Computer Science, or a related quantitative discipline
Prior experience with financial services companies desired but not necessary