Backend Software Developer

5 days ago


Malappuram, India beBeeSoftware Full time

About usWe are a leading fintech company that is revolutionizing the banking industry with cutting-edge AI technology.Job DescriptionRole – Backend Software DeveloperLocation: RemoteFunction: Engineering – Product EngineeringAbout the RoleWe are seeking a skilled Backend Software Developer to join our Core Platform Team. This team is responsible for designing and scaling the foundational systems that power all our AI-driven products—from secure authentication and configuration engines to core services like logging, feature management, and real-time orchestration.You will work alongside experienced engineers to build modular, high-performance backend systems that are critical to uptime, compliance, and scalability across the company. This is a hands-on role ideal for developers looking to grow their impact while working on production infrastructure used by every product team.Key Responsibilities:Design, develop, and optimize scalable microservices and RESTful/GraphQL APIs for Interface's conversational AI platform, ensuring high availability, low latency, and seamless integration with products and partner ecosystems.Implement and maintain complex workflows using event-driven architectures, leveraging technologies like Kafka, RabbitMQ, or AWS SNS/SQS, to support real-time conversational AI interactions and data processing.Develop robust data models and database schemas using SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB) databases, optimizing for performance, scalability, and data consistency.Conduct thorough code reviews, providing constructive feedback on code quality, adherence to coding standards, and alignment with architectural best practices, while mentoring junior developers.Collaborate with cross-functional teams, including frontend developers, product managers, QA engineers, and conversational designers, to define technical requirements, resolve bottlenecks, and deliver end-to-end features on cloud platforms (e.g., AWS, GCP, Azure).Ensure system reliability by implementing monitoring, logging, and alerting solutions using tools like Prometheus, Grafana, or ELK Stack, and proactively address performance issues through profiling and optimization.Drive adoption of CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and infrastructure-as-code (e.g., Terraform, CloudFormation) to streamline deployments and maintain production-grade systems.



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