Python Backend Developer
Python Backend Developer | Montevideo, UY | Buenos Aires, AR
About us
The Appraisal Lane is a real-time used car trade network and communications platform. It enables dealers to submit used cars for appraisal and receive cash offers from a network of experts who balance knowledge with market valuation data resulting in the most accurate used car valuations. Fully optimized for mobile, the platform manages appraisal submissions, purchase offers, and dealer, appraiser, and buyer communications, as well as sales and fulfillment channel information.
As a backend engineer at The Appraisal Lane, you will work closely with a dedicated team of engineers to simplify complex problems into easily digested APIs. You will be an integral part of planning, implementing, testing, deploying and monitoring new functionality in our suite of applications and services.
What you’ll do
- Work with a highly skilled engineering team in all phases of the Agile development process from design to deployment.
- Design, develop, and test business intelligence and machine learning backends using Python and other web and backend technologies
- Work with quality assurance and product management to deliver quality software.
- Test, enhance and debug software to produce the required product.
What you’ll need
- Good understanding of algorithms, data structures, object-oriented design, continuous integration, and deployment.
- Experience working in an agile environment
- Experience working with Python
- Experience with web frameworks such as Flask or Django
- Good SQL querying skills
- Solid experience with UNIX environments (Linux, Mac)
- Verbal and written communication skills in English
Good to Haves
- Knowledge of noSQL databases like Elasticsearch, MongoDB or Redis.
- Experience with AWS (EC2, RDS, S3, Route 53, VPC, ECS, etc)
- Knowledge about Docker and Docker Compose
- Experience with Machine Learning algorithm implementation in Python
- Experience with some of the following libraries: pandas, numpy, scikit-learn, scipy, matplotlib, keras, tensorflow