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.