Python Engineer

Veriipro

San Antonio (TX)

On-site

USD 80,000 - 110,000

Full time

14 days+

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Job summary

Veriipro is seeking a backend developer in San Antonio, Texas, to develop and maintain scalable applications using Python frameworks like Django, Flask, or FastAPI. The candidate will design RESTful APIs, manage databases, and optimize performance in a fast-paced environment.

The ideal applicant has strong skills in Python programming, cloud services, and experience with both SQL and NoSQL databases. Knowledge in Property & Casualty insurance is preferred.

Qualifications

  • Strong Python programming (OOPs, data structures, standard libraries).
  • Experience with web frameworks (Django / Flask / FastAPI).
  • Good understanding of SQL and databases (PostgreSQL, MySQL).

Responsibilities

  • Develop and maintain scalable backend applications using Python frameworks.
  • Design and implement RESTful APIs for data exchange and integrations.
  • Optimize performance for relational and non-relational databases.

Skills

Python programming
Django
Flask
FastAPI
SQL
PostgreSQL
MySQL
MongoDB
Redis
SQLAlchemy
Pandas
NumPy
Git
Docker
Kubernetes
AWS

Tools

Git
Docker
Kubernetes

Job description

Required Skills
  • Strong Python programming (OOPs, data structures, standard libraries like os, sys, pathlib)
  • Experience with web frameworks: Django / Flask / FastAPI
  • Good understanding of SQL and databases: PostgreSQL, MySQL
  • Experience with NoSQL (MongoDB) and caching (Redis)
  • ORM experience: SQLAlchemy / Django ORM
  • Strong in data libraries: Pandas, NumPy, Jupyter
  • Scripting: Python, SQL, Bash/Shell
  • Tools: Git, Docker, Kubernetes, CI/CD pipelines
  • Cloud: AWS or similar cloud platforms
  • Domain knowledge in Property & Casualty (P&C) insurance (preferred)
Responsibilities
  • Develop and maintain scalable backend applications using Python frameworks (Django/Flask/FastAPI)
  • Design and implement RESTful APIs for data exchange and integrations
  • Manage relational and non-relational databases with performance optimization
  • Write clean, efficient, and testable code; debug and enhance existing systems
  • Integrate backend services with frontend applications
  • Automate tasks using Python scripts to improve workflows and efficiency
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