Python Developer

KMM Technologies, Inc.
Tysons, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tysons, United States of America

Tech stack

Artificial Intelligence
Application Performance Management
Code Review
Databases
Continuous Delivery
Information Engineering
DevOps
Django
Python
Machine Learning
Node.js
NoSQL
NumPy
Software Engineering
SQL Databases
Systems Integration
Enterprise Software Applications
Flask
Large Language Models
Software Troubleshooting
GIT
FastAPI
Pandas
Containerization
Angular
Non-relational Database
Front End Software Development
REST
Docker
Microservices

Job description

  • Design, develop, and maintain robust, scalable applications using Python and modern frameworks
  • Architect and implement microservices-based solutions with RESTful APIs following best practices and system design principles
  • Integrate GenAI/LLM capabilities into enterprise applications to deliver innovative solutions
  • Collaborate with cross-functional teams including product managers, designers, and stakeholders to define project requirements and technical specifications
  • Lead code reviews, mentor junior developers, and promote engineering excellence across the team
  • Optimize application performance and ensure seamless integration with both relational and non-relational databases
  • Implement and maintain CI/CD pipelines to support continuous delivery and deployment
  • Troubleshoot complex technical issues with precision and provide effective solutions
  • Contribute to technical documentation and knowledge sharing initiatives

Requirements

5+ to 15+ years of professional software development experience with significant focus in Python

Core Technical Skills:

  • Expert-level proficiency in Python frameworks including Django, Flask, and FastAPI
  • Strong understanding of microservices architecture, RESTful APIs, and system design principles
  • Hands-on experience with data engineering and analysis libraries (NumPy, Pandas)
  • Proficiency in both relational (SQL) and non-relational (NoSQL) databases
  • Familiarity with front-end technologies such as Angular and Node.js
  • AI/ML Capabilities
  • 2+ years of hands-on experience with GenAI/LLM integrations and implementations

DevOps & Tools:

  • Solid experience with version control using Git
  • Proficiency with containerization technologies, particularly Docker
  • Proven experience designing and implementing CI/CD pipelines

Professional Competencies:

  • Exceptional problem-solving skills with keen attention to detail
  • Strong analytical thinking and ability to identify and resolve complex technical challenges
  • Excellent verbal and written communication skills
  • Proven ability to work collaboratively with cross-functional teams and stakeholders
  • Self-motivated with ability to manage multiple priorities and deliver results in a fast-paced environment

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