Java/Scala Developer

Java/Scala Developer

As a software developer, you will be responsible for the development and maintenance of Brokerage's next generation fraud screening platform for real-time fraud detection and prevention. You will work with our architecture team to ensure industrial and departmental best practices are being followed. Your role will be a focal point between our fraud analytics, reporting, and data governance teams. You will be a productive member of the development team and share core tasks as a member of an Agile squad. In your role you will be expected to share ownership of our projects and contribute to the active development and maintenance of our applications. You will have the opportunity to be exposed to modern software engineering tools and best practices. You will also learn how a large investment bank like Brokerage detects and prevents fraud. You will work in a dynamic agile Fleet that uses Scrum for its workflow. You will be expected to be involved in the full development lifecycle. You will be expected to collaborate with others in the wider team and across the firm, as well as working on your own initiatives.

Skills Required

• Commercial experience of core Java programming with strong proficiency
• Experience of working with a functional programming language
• Experience with Scala programming (or willingness on becoming an expert on it)
• Fundamental knowledge of Microservices
• Strong experience with distributed caching and relational databases, preferably with Sybase, Oracle, MSSQL
• Good Exposure to middleware- MQ, Kafka
• Experience of working in a Linux environment
• Strong analytical and problem-solving skills
• Strong oral and written communication skills
• Excellent interpersonal skills and professional approach
• Ability to work effectively in a global and dynamic team
• Understanding of distributed system design and infrastructure

Skills Desired

• Experience in the full software development life cycle
• Experience working in an agile team using Agile and DevOps practices & tools
• Experience working with Continuous Integration systems
• Experience with cloud-ready development, Docker containers
• Experience with Confluent Kafka
• Experience with Redis
• Experience with automation and scripting languages (Python preferred)
• Experience in Data Modeling
• Experience with Big Data – Hadoop, Spark etc.