Software Engineer, AVP

Job Description

Join us as a Software Engineer This is an opportunity for a driven Software Engineer to take on an exciting new career challenge Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority It’s a chance to hone your existing technical skills and advance your career We're offering this role at associate vice president level What you'll do In your new role, you’ll engineer and maintain innovative, customer centric, high performance, secure and robust solutions. You’ll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform. You’ll also be: Producing complex and critical software rapidly and of high quality which adds value to the business Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning Collaborating to optimise our software engineering capability Designing, producing, testing and implementing our working code Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations The skills you'll need You’ll need a background in hands-on technical development, with at least eight years of industry experience in a data engineering and at least two years of experience with Quantexa platform. You'll need to configure and deploy Quantexa software using tools such as Spark, Hadoop, Scala, Elasticsearch with our platform being hosted on public virtual clouds such as GCP and AWS. You’ll also need: Experience of Scala, Java, Python, or a programming language associated with data engineering Experience in modern development tooling e.g. Git, Gradle, Nexus and technologies supporting automation and DevOps e.g. Jenkins, Docker and a little bit of good old Bash scripting Experience of testing libraries of common programming languages such as ScalaTest or equivalent. A background in solving highly complex, analytical and numerical problems Experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance