Full Stack Developer
il y a 7 jours
We 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.
- 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.
- 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.
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