AI-Driven FinTech Software Engineer (Cloud | Python/C)

Cygnify; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Cygnify in Singapore is hiring an experienced Software Engineer to join a fintech-focused team. You will design, develop, and maintain a high-performance platform for AI-driven banking solutions.

You will write clean, scalable code for cloud-based systems, integrate components, and apply AI/ML techniques for real-time processing. Collaboration with engineers, researchers, and product managers is essential.

Qualifications

• 4+ years of hands-on software development experience.
• Experience with Python or C.
• Familiar with cloud platforms (AWS, GCP, Azure or private cloud).
• Strong problem-solving and teamwork abilities.

Responsibilities

• Design, develop, and maintain a high-performance platform for AI-driven banking solutions.
• Write clean, scalable, and efficient code for cloud-based systems.
• Integrate software components with internal and external systems to ensure seamless functionality.
• Learn and use AI and machine learning to integrate and optimize AI models for real-time processing.
• Ensure AI algorithms are effectively embedded within financial applications.
• Develop and execute unit, integration, and performance tests to ensure software quality.
• Diagnose and resolve technical issues across development, test, and production environments.
• Contribute to the design and architecture of scalable, secure, and high-performance financial systems.
• Participate in code and design reviews, ensuring adherence to industry best practices.
• Work closely with cross-functional teams, including engineers, researchers, and product managers

Skills

Python

C

Education

Bachelor's degree

Tools

AWS

GCP

Azure

Private cloud

Job description

Cygnify in Singapore is hiring an experienced Software Engineer to join a fintech-focused team. You will design, develop, and maintain a high-performance platform for AI-driven banking solutions.

You will write clean, scalable code for cloud-based systems, integrate components, and apply AI/ML techniques for real-time processing. Collaboration with engineers, researchers, and product managers is essential.