Python Back End Engineer

Posted 11 Days Ago
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Sofia, Sofia-grad
1-3 Years Experience
Artificial Intelligence • Retail
The Role
Develop and maintain robust, reusable Python code for data ingestion at a leading AI-driven retail intelligence platform. Responsibilities include working on new product projects, monitoring application performance, implementing back-end features, collaborating with cross-functional teams, and optimizing application performance. Preferred experience includes knowledge of security, Redis, concurrency, and distributed systems.
Summary Generated by Built In

About EDITED

EDITED is the world’s leading AI-driven retail intelligence platform. We empower the world’s most successful brands and retailers with real-time decision making power. 

By connecting internal business and external market data, EDITED infuses intelligence into every retail decision. We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market and enterprise intelligence that fuels automation. 

At EDITED, we foster a dynamic and inclusive culture where creativity thrives and collaboration is at the heart of everything we do. Our environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow. We value diversity, transparency, and a shared commitment to excellence, creating a workplace where everyone's voice is heard and contributions are recognised. 

We believe that achieving a positive work-life balance is key to driving innovation and success. Our flexible working options—including hybrid working, flexible hours and a work from anywhere policy—empower our team to perform at their best. 

The Role

The Python engineer participates in development and maintenance of robust, reusable code for data ingestion. Every day we track over 2.5 billion products, snap shotted and processed by EDITED from more than 5 000 retailer websites.

Your days with us will look like:

  • Work on existing and new product projects

  • Monitoring of application performance

  • Implement new back-end features and components, as well as maintain the current ones

  • Be a part of the entire development process by participating in the planning and the estimation of development activities

  • Build high-performance applications and implement security protocols

  • Collaborate with Front-end Developers, QAs and Product Manager

Requirements

  • 2+ years of experience with Python

  • Understanding of Object-Oriented Programming, SOLID and design patterns, service-oriented architecture

  • Understanding of building secure back-end services

  • Experience with Elasticsearch / NoSQL and SQL Databases

  • Experience with AWS / Github Action

  • Experience with unit and integration tests / monitoring of services

  • Experience with Kubernetes / Docker

  • Knowledge of different techniques for optimization of the application performance

Considered a plus will be any experience/knowledge in:

  • Concurrency and distributed systems

  • Understanding of security

  • Redis

Perks & Benefits

  • You can utilise our flexible working policy to ensure you can work around your schedule – this means starting + finishing when it suits you best!

  • Additional Health Insurance

  • Gaming & relax areas

  • MultiSport card

  • Corporate discounts

  • Employee referral program

  • 25 days annual leave + public holidays (and an extra day for every year at EDITED)

We aim to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

Top Skills

Python
The Company
HQ: New York, NY
150 Employees
On-site Workplace
Year Founded: 2009

What We Do

EDITED is the global leader in Retail Intelligence. We help retailers increase margins, generate more sales and drive better outcomes through AI-driven Market and Enterprise Intelligence to fuel Automation.

By connecting business analytics and external market data, brands like Columbia and Inditex use the EDITED Retail Intelligence products to make better data-backed decisions, expediting insights into action.

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