Lead Software Engineer

at  JLA Resourcing

• The best bits of a start-up environment but secure funding
• A culture where data beats seniority in decisions
• Remote with a weekly visit to London office (for valuable reasons)

WHAT EXPERIENCE WILL YOU HAVE?

• Experience working with JVM languages i.e. Java, Scala, Kotlin etc
• Experience working in a DevOps environment
• Strong experience in public cloud environments (AWS, Azure, GCloud)
• Experience working in a microservices architecture – docker, Kubernetes, terraform
• Leading high performing engineering teams
• Leading teams working in a data centric, automation led environment
• Proven operating in environments with a high cadence of releases (daily or close to)
• Ability to work and solve complex problems to situations and reward and recognise your team members who do this also.
  Although the company is happy with a remote working model, the team have collectively made the decision to aim to go into the office one day a week where they are able to collaborate on tasks such as demo’s and new designs. It seems sensible that new team members will be happy to adopt a similar approach.
  The salary on the role is paying up to £110,000 - £120,000 with a 30% bonus on top.
  If you would like to learn more, please get in touch to discuss in more detail and access the video

THE ROLE

Your primary focus will be targeted specifically on the delivery of this platform but once the initial functionality is built then the expansion of services and data that can be developed as an extension are almost limitless.
You’ll be working on their current implementation frameworks and patterns which are AWS, Terraform, Docker and languages utilising the JVM in DevOps environment.

WHAT ARE YOUR RESPONSIBILITIES?

• Lead the engineering teams focused on the Operator side of the platform. The scope of this is:
• all external integrations that source data from the industry – this is likely to be api, file and UI based
• the portal/UI required for operators to manage their data
• normalisation of industry data
• presentation for platform consumption
• Build a team and culture that is focused data as a source of insight to deliver the platform
• Working closely with the architect to define and build services that elegantly scale, are automation first, quickly extensible in a devops model
• Contribute to the wider tech and product strategy and as a member of the tech team