Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.

Key Responsibilities :

- Design, develop, and maintain scalable backend services and APIs using NodeJS and Python

- Build event-driven architectures using RabbitMQ and Kafka for real-time data processing

- Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing

- Integrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for

automation, insights, and intelligent workflows

- Design AI-powered features such as recommendation systems, document processing, or conversational interfaces

- Ensure system reliability, security, and low-latency performance for mission-critical systems

- Lead technical design discussions, conduct code reviews, and mentor junior engineers

- Optimize database queries, implement caching strategies, and improve overall system performance

- Collaborate with cross-functional teams to deliver end-to-end product features

- Implement monitoring, logging, and observability solutions

Required Skills and Qualifications :

- 2+ years of professional backend development experience

- Strong expertise in NodeJS and Python for production-grade applications

- Proven experience building RESTful APIs and microservices architectures

- Experience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering)

- Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics)

- Strong proficiency in PostgreSQL, including query optimization and schema design

- Hands-on experience with RabbitMQ and Kafka

- Experience with BigQuery or similar data warehousing solutions

- Solid understanding of distributed systems, scalability patterns, and high-traffic applications

- Strong knowledge of authentication, authorization, and security best practices

- Experience with Git, CI/CD pipelines, and modern development workflows

- Excellent problem-solving and debugging skills

- Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus