Cloud Infrastructure Engineer

Holborn Store Support Centre

Location

Holborn Store Support Centre

Hours

Full-time

Contract Type

Permanent

Salary

Competitive plus benefits

Areas of business

Data Science & Algorithms

Job ID

18001K0H

Google Map of 33 Holborn London EC1N 2HT

Sainsbury's Supermarkets Ltd, 33 Holborn, London, EC1N 2HT

We are looking for team players who always ask why, refine their understanding of what, are not afraid to suggest how, and don’t lose track of when.

Predicting customer behaviour, scheduling all our Groceries Online deliveries and optimising store space. These are a small selection of the breadth and complexity of the data products we deliver in the Applied Data Science and Machine Learning team. The success of our recent projects has led to an increased demand for production algorithms across the business. We now want to increase the capacity and impact of our talented team with an engineer who can build flexible, cost effective, cloud infrastructure geared to algorithm applications
 
This role will be perfect if you are interested in helping us build an algorithm team from the ground up making the design and technology choices that allows us to productionise data science quickly and efficiently.
 
What you need to do
  • Deliver high quality beautiful code in Agile product teams
  • Develop and configure supporting product infrastructure
  • Bridge the gap between science and engineering by educating scientists on best practice and by learning about typical data science outputs.
  • Design and implement our algorithm productionisation platform.
What you need to know
 
The following are essential:
  • DevOps on AWS infrastructure
  • Continuous integration/deployment/delivery
  • Agile processes and workflows
  • Test Driven Development (TDD)
 Exposure to the following is considered an advantage:
  • Metric Driven Development (MDD)
  • Working in a development role in grocery/retail
  • Experience with Serverless architectures
  • Experience developing ETL pipelines
  • Big Data technologies
 What you need to show
  • Passionate about software engineering
  • Focused on delivery
  • Self-motivated and able to motivate others
  • Obsessed with automation
  • Curious about data science and mathematics
  • Well versed on Agile methodologies
What decisions I can make
  •  All decisions related to your tools and ways of working within your team
Resources available to me
  • Flexible compute on AWS and mainstream open source stack
  • Access to experts in architecture, product ownership, information management, data science, Sainsbury’s systems and retail
  • Conferences, training and access to the broader Sainsbury’s engineering community
  • Flexible workspaces (white boards, libraries, collaboration spaces) in an office in the heart of the City

 

 

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