Job Seekers, Please send resumes to resumes@hireitpeople.com
Must Haves:
- Python, Rest API (Flask or Fast API), Pandas or NumPy, Pytest or Unitest. Focus here is on test automation.
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:
- 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
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