Python Developer

Cloud Analytics Technologies, LLC; Richmond (VA); On-site; USD 110,000 - 190,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking an experienced Python Developer to design, build, and maintain scalable backend applications. You will create RESTful APIs using Django, Flask, or FastAPI, and work with relational and NoSQL databases.

The role emphasizes clean code, security, and collaboration with cross-functional teams. Responsibilities include optimizing SQL queries, implementing authentication, and supporting deployment and monitoring.

Qualifications

• Proficient in Python 3.x and OO design patterns.
• Experience building RESTful APIs and backend services.
• Strong SQL skills and experience with PostgreSQL/MySQL/Oracle.
• Experience with Django, Flask, or FastAPI.
• Familiarity with ORM tools (SQLAlchemy, Django ORM).
• Experience with Git, Linux, and testing (PyTest).

Responsibilities

• Design, develop, and maintain Python applications.
• Build backend services and RESTful APIs with Django/Flask/FastAPI.
• Write clean, reusable, and maintainable code.
• Integrate with relational and NoSQL databases.
• Develop and optimize SQL queries and database ops.
• Implement authentication, authorization, and security.
• Conduct unit testing, debugging, and code reviews.
• Collaborate with QA, DevOps, and business analysts.
• Develop automation scripts to improve efficiency.
• Integrate third-party APIs and external services.
• Follow Agile practices and use Git for version control.
• Support deployment, monitoring, and production troubleshooting.
• Optimize performance, scalability, and reliability.
• Maintain technical documentation and participate in design discussions.

Skills

Python programming

REST APIs

SQL databases

Git

Linux

PyTest

Tools

Django

Flask

FastAPI

SQLAlchemy

Django ORM

Docker

Kubernetes

CI/CD

Celery

Redis

RabbitMQ

Kafka

MongoDB

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

We are seeking an experienced Python Developer to design, develop, test, and maintain scalable software applications. The ideal candidate will have strong programming skills in Python, experience developing APIs and backend services, and knowledge of databases, cloud platforms, and modern software development practices.

Roles and Responsibilities

Design, develop, and maintain applications using Python.

Build backend services and RESTful APIs using Django, Flask, or FastAPI.

Write clean, reusable, efficient, and maintainable code.

Integrate applications with relational and NoSQL databases.

Develop and optimize SQL queries and database operations.

Implement authentication, authorization, and application security.

Perform unit testing, debugging, troubleshooting, and code reviews.

Collaborate with cross-functional teams, including QA, DevOps, and business analysts.

Develop automated scripts and tools to improve operational efficiency.

Integrate third-party APIs and external services.

Use Git for version control and follow Agile development practices.

Support application deployment, monitoring, and production troubleshooting.

Optimize application performance, scalability, and reliability.

Maintain technical documentation and participate in design discussions.

Required Technical Skills

Strong programming experience in Python 3.x.

Knowledge of object-oriented programming, data structures, algorithms, and design patterns.

Experience with Django, Flask, or FastAPI.

Hands-on experience developing REST APIs and web services.

Proficiency in SQL and databases such as PostgreSQL, MySQL, or Oracle.

Knowledge of ORM frameworks such as SQLAlchemy or Django ORM.

Experience with Git, Linux, and development tools.

Familiarity with testing frameworks such as PyTest or unittest.

Understanding of HTTP, JSON, API integration, and web application security.

Knowledge of debugging, logging, and performance optimization.

Preferred Skills

Experience with AWS, Microsoft Azure, or Google Cloud Platform.

Knowledge of Docker, Kubernetes, and CI/CD pipelines.

Experience with Celery, Redis, RabbitMQ, or Kafka.

Familiarity with MongoDB or other NoSQL databases.

Experience with data processing libraries such as Pandas and NumPy.

Exposure to machine learning libraries such as scikit-learn or TensorFlow.

Knowledge of automated testing and deployment practices.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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