Scala Software Engineer - Data/Cloud Engineering - CIB

  • Competitive
  • London, England, United Kingdom London England GB
  • Permanent, Full time
  • J.P.Morgan
  • 18 Sep 18 2018-09-18

Scala Software Engineer - Data/Cloud Engineering - CIB

You will join a new engineering team in the Corporate andInvestment Bank (CIB) responsible for delivering solutions to our clients indata science and the CIB technology organisation and beyond. Thechallenges we are looking at involve modelling, tracking, transforming,processing and joining data at scale on elastic compute; capturing andcomposing APIs and understanding how to control and evolve them.

The team will be in part of a wider org responsible for datascience platform delivery, cloud strategy/delivery and the CIB'sDevOps/continuously delivery platform. As such we will be partnering withour peers to deliver cutting edge solutions and tools on both the client &server side. The team will be comprised of 10 hands-on developers frommixed skillsets. This is a chance for you to deliver a green-fieldproject for the most successful investment bank in the world, withopportunities to help define and own the future state architecture and approachexciting problems from the ground up.

As a data/cloud engineer you will deliver scalable server sidesolutions on elastic compute in Java or Scala, working with the other clientand server side devs in the team and external users of our solutions.

Required:-

  • Applied development experience in Java and/or Scala
  • Distributed computing knowledge - ideally in a cloud environment
  • Familiar with TDD and/or BDD
  • Familiar with SQL/No-SQL databases
  • Working with Agile, Lean and Continuous Delivery and best practices
  • Knowledge of software best practices like refactoring, clean code, domain driven design, encapsulation etc.
  • Good communication skills
  • Numerate degree or equivalent (Computer Science , Engineering, Mathematics)


Preferred Skills:-

  • Appreciation of challenges involved in serialization, data modelling and schema migration
  • Functional and type level programming experience
  • Micro services and messaging
  • Public cloud technology (AWS or similar)
  • Big Data processing with Apache Spark
  • Model and domain driven design concepts and model-to-model (M2M) transformation