Software Developer, Forensics

1 month ago


StokeonTrent Staffordshire, United Kingdom bet365 Full time

Who we are looking for

A Software Developer, who will be responsible for developing the systems that support forensic analysis and actively defend the Company’s systems.

The Software Product Development department supports and develops systems designed to process high volumes of data transactions and execute in real-time. You will be working on the forensics platform, housed on Linux operating systems.

The team is utilising Go to provide this insight Business wide, enabling us to process the volume of data coming from our website on a daily basis.

You will have a solid foundation of delivery, technical knowledge, people skills and a passion for development.

The day to day work is interesting, challenging and fast paced amidst a hardworking and delivery focused Company ethos. We hire people with a broad set of technical skills who are ready to tackle some of technologies greatest challenges.

This role is eligible for inclusion in the Company’s hybrid working from home policy.

Preferred Skills, Qualifications and Experience

  • Knowledge of Go, Typescript, SQL and JavaScript.
  • Experience with Java or PostgreSQL.
  • Experience of distributed systems.
  • Complex event process and continuous query languages.
  • Understanding of event driven programming including Kafka.
  • Client and server development experience.
  • Ability to problem solve.
  • Excellent communication and team working skills.
  • Strong academic background, ideally with a Bachelors or Masters IT related degree or relevant industry experience.

Main Responsibilities

  • Developing low latency, highly available and scalable solutions.
  • Creating concurrent distributed components.
  • Working on Linux and GNU utilities.
  • Working in an environment with high volumes of transactions.
  • Supporting and enhancing the existing code base.
  • Identifying technical areas of improvement.
  • Contributing to solution proposals as required.
  • Creating work effort estimates.

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