Python Full Stack Developer (Remote)

Python Full Stack Developer | Techaroha Solutions Pvt Ltd | Worldwide 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.