.NET Software Engineer

Are you ready to dive into the fast-paced world of ground-breaking finance and technology? If you have a passion for innovation, a thirst for challenge, and a love for all things fintech, then look no further!

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.

We are seeking a highly skilled Software Engineer to join our Risk Intelligence division within the Digital Identity & Fraud (DI&F) department. In this role, you will develop and enhance a suite of APIs consumed by third-party customers for fraud prevention, identity verification, and account validation, contributing to important services that enable secure transactions in today’s digital environment.

The ideal candidate will have a strong technical background, problem-solving abilities, and extensive experience with Java or .NET Core, front-end technologies, and cloud platforms. You will be a key player in designing, developing, and maintaining scalable microservices-based applications in a fast-paced and agile environment.

Key Responsibilities:

• Design, develop, and maintain high-performance APIs consumed by third-party customers for fraud prevention, identity verification, and account validation.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Develop robust and scalable microservices-based applications using the Spring framework and cloud-native architecture.
• Work closely with front-end teams using technologies like TypeScript, VueJS, React, and Node.js to build dynamic user interfaces.
• Implement CI/CD pipelines using tools like Jenkins, GitLab, and ensure the automated testing of your applications using JUnit, Cucumber, Selenium, and other testing tools.
• Build and deploy containerized solutions using Kubernetes and Docker for cloud platforms such as AWS, Azure, or GCP.
• Optimize application performance using profiling tools, identify bottlenecks, and implement solutions to improve system efficiency.
• Ensure code quality by adhering to SOLID principles, design patterns, and using static and dynamic code analysis tools such as SonarQube and Coverity.
• Work in an agile environment, contributing to SCRUM and Kanban workflows to meet tight delivery schedules.
• Document the code structure, technical designs, and development processes for future reference.

Key Technical Skills:

• Programming Languages: Core Java or .NET Core 6+ with C#
• Backend Development: Multi-threading, exception handling, and ORM frameworks such as JPA
• Databases: PostgreSQL/MySQL with strong data modeling and SQL skills
• Testing Tools: JUnit, Cucumber, RestAssured, Selenium
• DevOps & Automation: Jenkins, GitLab, Docker, Kubernetes
• Cloud Platforms: AWS, Azure, GCP
• Containerization: Docker, Kubernetes, or similar
• Code Quality: SonarQube, Coverity
• Agile Development: SCRUM, Kanban

Other Required Skills:

• Strong analytical and problem-solving capabilities
• Excellent communication, presentation, and documentation skills
• Ability to work independently and manage dynamic priorities
• Strong collaboration skills with internal and external stakeholders
• Ability to articulate technical concepts and designs to non-technical teams

Nice To Have:

• TypeScript, VueJS, React, Node.js
• Experience in the FinTech industry, especially in financial markets or fraud prevention systems.
• Experience with event-driven architecture and message brokering tools including RabbitMQ, AWS MQ, or Azure Queue.
• Familiarity with NoSQL databases like MongoDB, DynamoDB, or CosmosDB.
• Experience working with highly distributed, data-intensive s