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Senior Software Engineer – Risk Platform
| Company | Clear Street |
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| Location | New York, NY, USA |
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| Salary | $170000 – $240000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- At least five (5) years of professional software engineering experience with a proficiency in Java and Spring Boot for backend development with a strong emphasis on building scalable and performant systems.
- Hands-on experience with Kafka and streaming real-time data processing for building reliable and efficient data pipelines.
- Expertise in designing and implementing microservices architecture to enable modular and independent development of system components.
- Strong understanding of AWS services, including but not limited to EC2, S3, and MSK for building and deploying cloud-based solutions.
- Solid knowledge of data modeling and database systems to ensure efficient data storage and retrieval.
- Ability to troubleshoot and debug complex issues in a distributed environment, ensuring high availability and fault tolerance.
- Proven track record of delivering high-quality, production-ready code adhering to best practices and coding standards.
Responsibilities
- Implement real-time P&L, risk, and margin calculations, and ensure timely End-of-Day (EOD) calculations for margin requirements.
- Work closely with the product and business teams to understand and translate requirements into technical solutions.
- Collaborate with cross-functional teams to ensure seamless integration with existing systems and data sources.
- Optimize system performance, scalability, and reliability to handle large-scale financial data with high throughput requirements.
- Ensure compliance with industry regulations and security standards in the financial domain.
Preferred Qualifications
- Prior experience in the financial domain, particularly in building risk and margin systems for brokerage or trading platforms.
- Familiarity with stream processing frameworks like Flink or Spark for handling large volumes of real-time data with low latency requirements. Additionally, familiarity with AWS Kinesis Data Applications is a huge plus.
- Knowledge of Snowflake and data warehousing concepts for building efficient and scalable data storage solutions.
