Ganesh Rai

Backend Software Engineer with experience building scalable microservices and distributed systems in Java, Spring Boot and Kafka on GCP and Azure. Experienced in production incident management, event-driven architectures, JVM performance tuning and backend platform development for enterprise-scale applications.

Software Engineer II at Ultimate Kronos Group (UKG) (2025-04 – Present)

• Migrated a CPU-intensive scheduling workflow to an event-driven architecture using Apache Kafka on GCP, reducing peak-hour response times by 35% across 10,000+ daily enterprise scheduling requests.
• Led incident response for recurring Kubernetes OOM pod crashes across a Java 17 migration, isolating native memory leaks and JVM heap misconfiguration via heap-dump and GC-log analysis, and restoring production stability within 48 hours while unblocking 5 dependent teams.
• Slashed p95 API latency by 25% and boosted throughput by 40% via JVM thread-contention profiling, Spring Boot hot-path re-engineering, and blocking I/O elimination — confirmed through Datadog APM monitoring across 3 high-traffic endpoints.
• Deployed Caffeine in-memory caching for high-frequency shift-query APIs, cutting database round-trips by 60% and holding p99 latency-critical response times below 200 ms during peak-load spikes.
• Coached 2 junior engineers on JVM diagnostics, JUnit-based test automation, and Datadog observability, shrinking mean on-call incident resolution time by 25% through structured mentorship.

Software Engineer at Jio Platforms Limited (2022-07 – 2025-03)

• Built REST APIs on Azure using Spring Boot and PostgreSQL for a clinical annotation platform serving 50+ concurrent clinicians, adding versioning and consensus workflows that lifted ML dataset quality by 20%.
• Delivered a Data Dictionary service on Azure to catalogue ownership, lineage, and quality metrics across 200+ data assets, raising data accuracy by 30% and trimming cross-team approval cycles by 40%.
• Extended the Service Quality Monitoring platform with remote WiFi router diagnostics spanning 1M+ deployed devices, enabling proactive fault detection that dropped field-engineer dispatches by 25% and repair costs by 20%.

B.Tech in Electrical & Electronics Engineering – Ramaiah Institute of Technology (2018 – 2022)