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Backend engineer(Python/Django) in an early stage fast paced startup
Posted by Ekta Grover (@ekta1007)
We are very early stage start up in EdTech (raised pre-seed), and are hiring a lean solid team of Engineers. The product is based on the most sophisticated tech around Machine learning, hyper personalization, and given EdTech today is what Logitistics was a few years ago - its an amazing opportunity to be a part of this journey as founding engineers, and to experience freedom with responsibility. We are backed by very solid team of Tech mentors who are consulting us - and it will be a Zero to One ride.
We are very early stage startup - which means that the amount of autonomy you will have to define will be huge. Since its in our incentive to coach you, you will have a steep learning curve! Which is to say, that you should find this level of ambiguity something you proactively seek. (An entrepreneurial mindset)
Founder profile : https://www.linkedin.com/in/ektagrover/
Experience : 1-3 years
Equity & good compensation offered.
Skills And Qualifications :
- Expert in Python, with good knowledge of Python web framework Django
- Familiarity with some ORM (Object Relational Mapper) libraries
- Able to integrate multiple data sources and databases into one system
- Good understanding of server-side templating languages
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Understanding of fundamental design principles behind a scalable application
- Familiarity with event-driven programming in Python
- Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
- Able to create database schemas that represent and support business processes
- Strong unit test and debugging skills
- Proficient understanding of code versioning tools Git, application logging, deployment, processes and code reviews.
- Builiding strong Engineering culture, mentoring & coaching the team
- Manging, planning and scoping the work and layers of Tech complexity
- Writing system design, analyzing tradeoffs and building MVP
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performance applications
- Integration of user-facing elements developed by front-end developers with server side logic
- Implementation of security and data protection
- Integration of data storage solutions
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