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Job Description:

Must Haves: Python, Rest API (Flask or Fast API), Pandas or NumPy, Pytest or Unitest. Focus here is on test automation. Need 7+ Years of experience.

Responsibilities include:

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.)

Technical Skills:

Python Django NumPy Pandas Flask Rest / Fast API Automation Testing (Unit test, Pytest) Microservices CI/CD (Gradle, Jenkins, GIT, Confluence, Gitlab) Docker

Preferred Qualifications:

Bachelors degree, ideally in Financial Engineering, Computer Science, or a related quantitative discipline Prior experience with financial services companies desired but not necessary