Deeplearning.ai

Software Development Engineer - Leonisa

Kubernetes Kafka Java Django Flask MongoDB AWS Spark Docker Hadoop Spring GraphQL MySQL API Python SQL
Description
Leonisa is the # 1 brand in sales and the most recognized in Latin America, with exponential growth in the United States and Europe. A Colombian company with more than 60 years of experience in manufacturing, marketing and retailing, specialized in the production and commercialization of intimate apparel.

We are now looking for a Software Developer Engineer to join the team and support our data-centric efforts.


What you will be doing:

    • Build Software Solutions between the ML team.
    • Continuously iterate on solutions based on feedback from the customers.
    • Help to improve the architecture of our systems that will achieve current and near-term products and research goals with robustness for scale.
    • Define and champion engineering standards and processes with input from the team.
    • Stay up-to-date on the latest technologies and pick the right tool for the task.
    • Write APIs for internal and external customers.
    • Write unit, integration, and e2e tests to ensure software and systems are performant and reliable.
    • Implement and create security and data protection best practices settings.

What you must bring

    • Proven software development experience as a Backend Engineer building end-to-end projects.
    • Strong ability to convert ideas to running code.
    • Knowledge of multiple object-oriented languages (e.g. Java, Python, SQL), web frameworks (Spring, Django, Flask), or API (Rest & GraphQL).
    • Experience with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and deployment systems (e.g. AWS, Kubernetes, Docker).
    • Understanding of big data tools, including Hadoop, Spark, Kafka, etc.
    • Self-starter and comfortable working in an early-stage environment.
    • Knows how to build for scale vs. building for now.
    • Excellent communication skills and the ability to have in-depth technical discussions with both the engineering team and business people.

Deeplearning.ai
Deeplearning.ai
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