Job Description

Responsibilities

• Building scalable & secure banking platforms that redefine industry standards.
• Owning key components of the backend and contributing to their evolution.
• Developing AI/ML-powered capabilities to enhance banking intelligence.
• Optimizing distributed systems for performance, latency, and throughput.
• Mining TBs of data to derive insights and improve decision-making.
• Working with cross-functional teams to design innovative backend solutions.
• Driving automation and efficiency in backend workflows.
• Mentoring and collaborating with engineers in a high-growth environment.

Skills

• Strong backend development experience in Java and Python.
• Experience with Spring Boot (optional but preferred).
• Hands-on experience with AI/ML projects (must have successfully implemented or deployed AI/ML-driven solutions).
• Understanding of distributed systems, scalability, and high-performance computing.
• Experience with message brokers, application containers, and cloud platforms (AWS, GCP, Azure, etc.).
• Strong problem-solving mindset with a bias for action.
• Experience with Copilot ecosystem, Power Apps platforms, or low-code/no-code automation tools.
• Knowledge of Graph Neural Networks, NLP, or AI-powered fraud detection.
• Familiarity with MLOps, model deployment, and cloud-based AI pipelines.
• Understanding of CAP theorem and distributed computing principles.
• Experience in working with high-frequency, low-latency systems.

Experience and Qualifications

• Bachelor’s/Master’s degree in engineering with 1 year of experience
• Passion for Programming.
• Strong understanding of data structures and algorithms.
• Aware of various product design, functional design and usability factors in designing.
• Experience with Linux as a working environment for development and deployment
• Exposure to SOAP or XML-RPC or any other remoting or service oriented application technology