Role
Company
What you'll do:
- Develop and maintain scalable web applications using Python and Django for the backend.
- Design and implement responsive user interfaces using Angular.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Ensure the performance, quality, and responsiveness of applications.
- Identify and correct bottlenecks and fix bugs.
- Help maintain code quality, organization, and automation.
- Participate in code reviews and provide constructive feedback to peers.
- Stay up-to-date with the latest industry trends and technologies to ensure our stack remains current.
What makes you a great fit:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- At least 2 years of professional experience in full stack development.
- Strong proficiency in Python and Django for backend and Angular for front-end development.
- Understanding of fundamental design principles for building scalable applications.
- Experience with version control systems, preferably Git.
- Familiarity with database technologies such as PostgreSQL, MySQL, or MongoDB.
- Basic understanding of front-end technologies, such as HTML5, CSS3, and JavaScript.
- Experience with RESTful APIs and integrating front-end with back-end services.
- Strong problem-solving skills and a keen attention to detail.
- Excellent verbal and written communication skills.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of containerization technologies like Docker and Kubernetes.
- Familiarity with Agile/Scrum methodologies.
- Experience with automated testing frameworks and CI/CD pipelines.
Monsoon is an Artificial Intelligence-powered loan-underwriting platform deployed as a service (SaaS). It has been demonstrated to improve the asset quality and profit margin of a diverse set of loan books by identifying future delinquencies at the time of underwriting, thus reducing delinquencies without affecting approval rates. Our firm was started by Data Scientists, Financial Analysts and Technologists who worked with some the world’s most prestigious financial institutions including Bank of America, American Express and The World Bank and is currently engaging with Indian and International lenders including banks and NBFCs to help them leverage the power of machine learning and automation.
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