Full Stack Python Developer Job Description Template
Our company is looking for a Full Stack Python Developer to join our team.
Responsibilities:
- Code reviews;
- Successfully lead engineering of a full stack JavaScript web application and backend python;
- Design, write, and test code for a Javascript/Vue-based front end system and Node/Python-based backend system;
- Design, write, and test code for a python backend. Essential python libraries for data science, machine learning, and statistics (Pandas, Numpy);
- Lead the development of front-end and back-end capabilities across diverse product lines and products;
- Enable large-scale application and data migrations to cloud infrastructure and leverage cloud-native enabling technologies;
- Support the adoption of modern development best practices;
- SQL for database schema design in relational database;
- Support open source participation and enable meaningful contributions from diverse users globally;
- Work in a collaborative agile team to deliver top-notch technical solutions;
- Contribute to evolving best practices regarding CI, TDD, etc.
Requirements:
- Experience with Web application development in HTML, CSS, and Javascript;
- Proficient with unit testing using Junit or similar technologies;
- Experience building responsive and cross-browser compatible web applications with a strong UI focus;
- Experience with planetary data systems or space data standards;
- Bachelor’s degree in technical discipline;
- Familiar with infrastructure automation technologies (e.g., Ansible);
- Proficient in distributed version control systems (DVCS) such as git/GitHub;
- Extensive knowledge of best practices in software design, object-oriented programming and design patterns;
- Experience with databases such as SQL/SQLAlchemy, ZeroMQ, etc;
- Skilled at designing and building REST API services using modern frameworks and technologies;
- Strong design skills around the user experience including an eye for design and attention to detail;
- Proficient in view layout and rendering technologies (e.g., responsiveness, browser/device support);
- Passion for building high performing, scalable, and user-friendly solutions;
- Strong proficiency and experience with libraries such as pandas, numPy, sciPy, scikit-learn;
- Excellent communication skills; superior organizational and analytical skills.