Key Responsibilities
Platform Development: Design, develop, and own scalable backend services and integration frameworks using Java and Spring Boot.
Integration & Connectors: Build and maintain high-reliability connectors for retailer systems (APIs, feeds, webhooks) to handle catalogue synchronisation, order placement, and tracking.
Data Pipelining: Develop high-performance data ingestion and processing pipelines for large-scale catalog data.
System Reliability : Implement and own systems for robust error handling, retries, idempotency, rate limiting, and monitoring across all external integrations.
Real-Time Systems: Work on near-real-time systems for critical data, such as inventory, pricing, and order status updates.
Operational Excellence: Ensure high availability, scalability, and observability in production to drive continuous improvement, enabling faster retailer onboarding and reduced operational overhead.
Required Skills & Experience
Core Backend: 1+ year of professional backend development experience with strong hands-on coding skills in Java and Spring Boot.
Architecture : Proficiency in microservice architecture and a strong understanding of distributed systems concepts (fault tolerance, retries, idempotency).
Integrations: Proven experience building or working with external integrations (APIs, webhooks, third-party systems).
Messaging: Experience with message queues (Kafka / SQS) and asynchronous processing patterns.
Data: Solid understanding of relational databases and data modelling.
Cloud & Tools: Familiarity with AWS services, cloud-native development, and tools for monitoring, logging, and debugging production systems.
Good to Have
Experience with ETL / data pipelines or large-scale catalogue systems.
Exposure to the e-commerce domain (catalogue, orders, inventory).
Experience with batch/stream processing tools (e.g., Spark).
Understanding of API authentication mechanisms (OAuth, API keys).
We’re looking for a problem-solver who is excited about building scalable integration platforms, solving real-world data challenges, and working on high-impact systems.