Mid/ Senior Software Engineer | Strong Product experience required | Engineering Role | One of the World's Largest Retail Platforms | Immediate joiners Preferred

Company Overview We are hiring for a leading global retail and technology organization that serves millions of customers through its large-scale digital commerce, supply chain, and enterprise platforms. The engineering team works on high-impact product and platform challenges involving distributed systems, cloud-native architectures, data-driven decision making, and AI-enabled solutions.This is an opportunity to work on complex business problems, collaborate with high-caliber engineering teams, and build products used by millions of users worldwide.Role overview - 5 to 15 Years of Experience - IC role. -> Strong expertise in Java (Spring Boot) and working knowledge of Kotlin for building scalable backend services.-> Deep understanding of distributed systems design, including scalability, fault tolerance, and eventual consistency.-> Hands-on experience with microservices architecture and event-driven systems using messaging platforms like Kafka.-> Proficiency in working with both relational databases (PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra, Redis), including data modeling and performance optimization.-> Experience with API design, service contracts, and building high-throughput, low-latency services.-> Familiarity with cloud-native development in environments like AWS, GCP, or Azure.-> Strong experience in containerization (Docker) and orchestration tools like Kubernetes.-> Knowledge of CI/CD pipelines, automated testing, and deployment strategies (blue-green, canary releases).-> Understanding of observability practices, including logging, monitoring, and distributed tracing.-> Exposure to search technologies like ElasticSearch.-> Solid foundation in data structures, algorithms, and problem-solving.-> Working knowledge of secure coding practices, authentication/authorization mechanisms.-> Exposure to AI-assisted development tools and basic understanding of integrating AI-driven components (good to have).-> Leverage AI coding assistants for development and utilize them to generate better quality of output.-> Support integration of AI or automation driven components into the backend systems.-> Ensure AI-enabled components operate within defined reliability and safety boundaries.-> AI exposure is valued, but distributed systems engineering remains the primary focus of this role.What would you do here?-> Design and build scalable, reliable backend systems that power core enterprise platforms.-> Develop and maintain microservices and event-driven architectures, ensuring systems are loosely coupled and highly available.-> Take ownership of end-to-end system development, from design to deployment and production support.-> Ensure systems are production-ready by implementing strong observability, monitoring, and alerting mechanisms.-> Optimize system performance by improving latency, throughput, and resource utilization.-> Collaborate with cross-functional teams to define APIs, service contracts, and data models.-> Implement resilience patterns such as retries, circuit breakers, and graceful degradation.-> Contribute to and improve CI/CD pipelines and deployment processes for faster and safer releases.-> Write clean, maintainable, and well-tested code, following best engineering practices.-> Use production data and metrics to continuously improve system reliability and performance.-> Participate in code reviews, technical discussions, and architectural decisions.-> Support and mentor team members, contributing to overall engineering excellence.-> Explore opportunities to integrate automation or AI-driven enhancements where applicable.