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 10 -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 (positive 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.

📌 Mid/ Senior Software Engineer | Strong Product experience required | Engineering Role | One of the World's Largest Retail Platforms | Immediate joiners Preferred (Bengaluru)
🏢 Geektrust
📍 Bengaluru