Shubham G. — Software Engineer

Customer obsessed software engineering leader with 14+ years of experience in designing and implementing scalable, resilient, highly available and low-latency solutions for complex, large-scale systems with hands on proficiency in a wide range of technologies including Java, Spring Boot, Kotlin and Python. Proven track record of delivering high-impact projects, leading cross-functional teams, and driving innovation in fast-paced environments across both technology consulting and product development roles. Technical expertise: - Programming languages: Java, Kotlin, Python - Frameworks: Spring Boot, Micronaut, Spring Cloud, Spring Webflux - Databases: Kafka, Redis, Couchbase, Cassandra, PostgreSQL - Microservices, Kubernetes, Docker, Micrometer, Prometheus, Grafana, Splunk - Distributed Systems, Data Structures Recent Achievements: 1. Led a team of 6 to migrate a legacy digital order fulfillment system to a microservices solution for a leading UK retailer resulting in: - 20% ahead of schedule project completion - 70% reduction in order processing time - 2x increase in order volumes - 90% decrease in defect generation rates by increasing testing density and agility. - 90% decrease in CI build times by building a robust testing pyramid with as many automated tests as possible - 90% increase in software quality - 60% increase in development and delivery speed - 50% increase in system resiliency using idempotency patterns with Kafka at the helm. 2. Spearheaded design and development of an in-house enterprise A/B testing and experimentation platform for a Fortune-50 US retailer catering to a vast array of e-commerce use cases, achieving: - Scalability to handle more than 100 million requests per day. - Variant segmentation split accuracy score of ~99% for at least 10 concurrent experiments on production using contextual bandit algorithms written in Python. - 25% reduction in infrastructure costs leveraging efficient resource optimisation through relentless performance engineering. - 99.99% uptime including during peak holiday traffic with zero downtime deployments and at sub-30ms P99 response latencies within a Kubernetes cluster.

Stackforce AI infers this person is a Backend-heavy Fullstack engineer with extensive experience in E-commerce and microservices architecture.

Location: Bengaluru, Karnataka, India

Experience: 14 yrs 3 mos