Senior FullStack Developer (Java+React+Azure)

Project Description:

We are looking for a Senior Java Developer to help design and build a cutting-edge application for investors to create, manage, and share client portfolios, along with executing trades. This role involves working on high-performance, scalable systems that support real-time investment decision-making. You will be responsible for architecting, developing, and optimizing core backend functionalities while collaborating with global teams to deliver a seamless investor experience.

Responsibilities:

- Design, develop, and enhance Java applications for portfolio creation, trade execution, and sharing functionalities.
- Optimize system performance to ensure real-time data processing and seamless user interactions.
- Develop and integrate APIs to connect with market data providers and trading platforms.
- Ensure data consistency and security in multi-threaded environments.
- Translate business requirements into scalable technical solutions.
- Collaborate with global teams to align development with business objectives.
- Support production rollouts and provide ongoing system maintenance.

Mandatory Skills Description:

- 5+ years of Java development experience, with expertise in designing scalable applications.
- At least 3 years expertise in React
- Azure Cloud Services
- Working knowledge of Spring Framework, RESTful APIs, and microservices architecture
- Strong knowledge of multi-threading, concurrency, and high-performance computing.
- Proficiency in object-oriented design, SOLID principles, and functional programming.
- Experience with messaging systems (e.g., Kafka) and data serialization (e.g., AVRO).
- Familiarity with Agile methodologies and CI/CD pipelines.
- Strong analytical skills and the ability to work in a fast-paced financial environment.
- Excellent communication skills, with the ability to explain technical concepts to business stakeholders.

Nice-to-Have Skills Description:

- Experience with low-latency systems and real-time market data processing.
- Knowledge of financial markets and investment products.
- Experience with trading platforms (e.g., Bloomberg, Tradeweb).
- Proficiency in automated testing and CI/CD best practices.
- Exposure to Python or other scripting languages.