Full Stack Developer

About the RoleWe are seeking a highly skilled Full Stack Developer with expertise in Angular and .NET (C#) to design and build robust Financial Market and market data applications.
The ideal candidate has a strong background in micro services and message-driven architectures,  Azure cloud platforms, and a solid understanding of financial products, particularly equities and equity derivatives. The role also requires familiarity with automation frameworks and a good understanding of AI technologies, as the team is actively integrating intelligent systems to enhance trading operations and development workflows. You will collaborate with cross-functional teams to develop scalable, secure, and high-performance systems that support Financial Market Operations (Middle and back office). Key Responsibilities

• Develop and maintain responsive front-end applications using Angular.
• Design and implement scalable backend services and APIs using .NET (C#).
• Integrate RabbitMQ or Apache Kafka to enable reliable real-time data processing.
• Design and optimize SQL database schemas, queries, and stored procedures for performance and scalability.
• Deploy and manage applications in Azure and Linux environments.
• Work closely with business teams to translate functional requirements related to equities and equity derivatives into technical solutions.
• Contribute to the design and implementation of automation solutions to improve system reliability and development efficiency.
• Collaborate on projects involving AI technologies, such as intelligent data processing, anomaly detection, or automated decision support systems.
• Ensure code quality through best engineering practices, including testing and code reviews.
• Troubleshoot and resolve production issues efficiently.

Required Skills & Qualifications

• 5+ years of professional experience in .NET (C#) development.
• Strong hands-on experience with Angular for front-end development.
• Proven expertise with RabbitMQ or Apache Kafka.
• Solid understanding of SQL and NOSQL databases and performance optimization.
• Proficiency working in Linux environments.
• Practical experience with Microsoft Azure (App Services, Functions, Service Bus, etc.).
• Knowledge of financial market products, particularly equities and equity derivatives.
• Understanding of automation concepts and exposure to AI technologies.
• Strong analytical, problem-solving, and communication skills.

Nice to Have

• Familiarity with Azure DevOps .
• Knowledge of Docker and Kubernetes.
• Practical exposure to machine learning frameworks, data engineering pipelines, or intelligent trading tools.
• Previous experience working in financial services or fintech environments.