Principal Back End Engineer

May 11

🏢 In-office - London

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EDITED

EDITED AI enables competitor and enterprise retail analysis, empowering buyers, planners, merchandisers to grow profits.

Retail Analytics • Pricing & Product Assortment • Buying & Merchandising • Competitive Analysis • Big Data

51 - 200

💰 $29M Venture Round on 2020-04

Description

• As a Principal Back End Engineer, you will play a pivotal role in our technical ecosystem, providing leadership, problem-solving expertise, and technical direction to deliver high-impact projects. Working closely with a talented team of engineers, product managers, data scientists and solution architects, you'll tackle complex challenges in data and infrastructure, contributing to the success of major initiatives to help us deliver quality as a business. • We’re looking for someone with strong technical leadership ability who can take ownership and accountability for large scale projects. Your day might range from designing and building APIs, to optimising database queries, to researching new platforms for user authentication. You’ll act as not only a problem solver, but also a problem finder, and work directly with the Director of Engineering to come up with solutions. This role is ideal for someone who is excited by complex, challenging technical problems and the chance to work with highly experienced and talented engineers to help them grow and develop in the next step of their careers.

Requirements

• 10+ years of experience in back-end engineering roles, with a track record of delivering complex projects and demonstrating technical leadership in a senior position. • Proven ability to take ownership of projects, drive results, and mentor team members to achieve success. • Proficiency in Python and fluent in some *nix flavour. • Strong understanding of data management, APIs, and infrastructure, with the ability to architect scalable solutions. • Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders. • Ability to adapt and learn new technologies quickly, with a passion for crafting readable, well-tested code. • An active interest in DevOps and Machine Learning. • Experience with frameworks like Django, Flask or FastAPI, Elasticsearch or similar NoSQL technologies, and relational databases. • A good understanding of security.

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! • At EDITED we are set up to work remotely and utilise a hybrid approach with a minimum requirement of 2 days per week in the office • Enhanced parental leave policy • 25 days annual leave + public holidays (and an extra day for every year at EDITED)

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