About EDITED
EDITED is the global leader in Retail Intelligence. We help retailers increase margins, generate more sales and drive better outcomes through AI-driven Automation and Market & Enterprise Intelligence.
By connecting internal enterprise and external market data, brands like John Lewis, Puma and Abercrombie & Fitch use the EDITED suite of intelligence products to drive insights into action in a more profitable and coordinated way.
At EDITED, we always dream big, with a commitment to deliver measurable value to our customers. We believe in exceeding expectations and challenging the status quo. We do so by delivering our powerful Retail Intelligence Platform that drives better and faster decision making for retailers.
At EDITED, you'll be part of our Product and Engineering team, working closely with other software developers and data scientists, retail specialists and designers to create data-driven solutions to our customers' problems.
As a Senior Back End Engineer, you'll be involved in building systems that support new client-facing features as well as hacking on internal tools or systems. Your day might range from building APIs, to optimising database queries, to working on infrastructure around machine learning models, to improving the reliability and quality of web crawling infrastructure. You’ll answer questions such as: How do we get customer-ready data? How do we categorise data from being unstructured to being structured? How do you process data coming in at about 1000 products per second?
We've got huge scope to innovate and we always welcome fresh perspectives.
Requirements
Essential:
Essential:
5+ years of experience in Software Engineering role or similar
Experience developing and deploying Python or Nodejs systems into production
Experience writing complex queries in SQL or Elastic search.
Proven record of producing crafting beautiful, well-tested code
Fluent in some *nix flavor. Most of our engineers work on Macs or Dell running Linux and our servers run Linux primarily.
Clear oral and written communication
Strong sense of good engineering and architecture
Nice to have:
Experience deploying Machine Learning models to production
Experience with Apache Storrm, RabbitMQ or Apache Spark
Good understanding of security concepts in software
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 operate a hybrid approach to working in the office. Those in London are required to come into the office a minimum of 2 x per week
Enhanced parental leave policy
25 days annual leave + public holidays (and an extra day for every year at EDITED)
Stock options scheme
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.