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Lead Python Developer - Mclean, VA
Salary undisclosed
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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.
Build CI/CD Tools: gradle, Jenkins, git, Conda, pip, Jira, Gitlab, Confluence
DevOps: Linux & Docker
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.
Build CI/CD Tools: gradle, Jenkins, git, Conda, pip, Jira, Gitlab, Confluence
DevOps: Linux & Docker
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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