Lead Backend Architect

Company Description

CredResolve is dedicated to transforming the lending ecosystem by addressing overlooked challenges in debt recovery. With a focus on underserved borrowers and improving credit access, CredResolve leverages AI-driven intelligence, automation, and a streamlined field force to build a next-generation recovery infrastructure. This innovative approach enhances lender outcomes while advancing financial inclusion, democratizing credit opportunities for borrowers. By fixing collections, CredResolve strives to unlock smarter, faster, and more impactful recovery solutions for financial institutions.

Role Description

This is a full-time on-site role for a Senior Backend Engineer located in Gurugram. The Senior Backend Engineer will design, develop, and maintain robust backend solutions to support the company's cutting-edge AI-driven systems. Responsibilities include collaborating with cross-functional teams, writing efficient and scalable code, integrating and utilizing AI tools to enhance product capabilities and ensuring the performance of backend services in alignment with overall goals. The role will play a critical part in shaping CredResolve's recovery infrastructure and advancing its mission of financial inclusion.

Responsibilities

• Design, develop, and maintain scalable backend services and APIs using Java and Spring Boot
• Create and optimize SQL database schemas and queries in PostgreSQL to ensure efficient data storage and retrieval
• Implement RESTful APIs to facilitate seamless communication between frontend and backend components
• Configure and manage Nginx web servers to efficiently handle incoming requests and improve application performance
• Deploy and manage applications on AWS or GCP, ensuring scalability, reliability, and security
• Configure and optimize message broker systems using Kafka for real-time data processing and communication
• Containerize applications using Docker for easy deployment, scaling, and management
• Create detailed Low-Level Designs (LLDs) and High-Level Designs (HLDs) to guide the development and architecture of backend systems
• Automating CI / CD pipelines and streamlining the software development lifecycle
• Integrate AI / ML models into backend workflows using Python, PyTorch / TensorFlow, or third-party AI APIs
• Leverage AI tools (e.G., OpenAI APIs, Hugging Face, AWS AI services) to build intelligent systems
• Collaborate closely with frontend developers, product managers, data scientists, and other stakeholders to deliver high-quality AI-powered solutions
• Monitor and troubleshoot production systems to ensure optimal performance, reliability, and uptime

Qualifications