Project Description:

We're seeking a Senior Software Engineer to design and build robust, scalable systems that support portfolio and risk analytics, order and trade lifecycle processing, and investment strategies. You will work closely with portfolio managers, quantitative analysts, and product teams to develop technology solutions that create tangible business value in the capital markets space.

Responsibilities:

• Design and implement end-to-end technology solutions in an Agile environment, collaborating with business and technical partners.

• Leverage AWS cloud services to build scalable, cloud-native applications aligned with long-term architecture goals.

• Manage structured and unstructured data, ensuring accessibility, accuracy, and usability across various business functions.

• Identify and resolve data issues, exceptions, and inconsistencies while improving data quality and reliability.

• Build and maintain CI/CD pipelines, automated tests, and infrastructure-as-code for efficient deployment.

• Ensure system performance, reliability, and scalability across mission-critical applications.

• Drive engineering excellence through coding best practices, technical mentorship, and peer collaboration.

Mandatory Skills Description:

• 10+ years of experience with Python for backend development and data processing

• 10+ years of experience with Java in enterprise systems

• 5+ years working with relational databases (e.g., PostgreSQL, MySQL)

• 5+ years of hands-on experience with MongoDB

• 5+ years developing and deploying systems on AWS

• Demonstrated experience in Capital Markets, Portfolio Management, or Risk Analytics

• Strong analytical and problem-solving skills

• Excellent verbal and written communication skills

Nice-to-Have Skills Description:

• Familiarity with data pipelines, data lakes, and event-driven architectures

• Experience with containerization (e.g., Docker, Kubernetes)

• Working knowledge of DevOps practices and tools such as Terraform, GitHub Actions, or Jenkins

• Exposure to quantitative models, financial data, or multi-asset strategies

• Comfortable working in fast-paced, regulated environments with high-performance expectations