Aviral Singh

Background

About Aviral Singh

I’m an innovative and performance-driven Backend Software Engineer with close to 3 years of deep, hands-on experience designing, developing, and scaling microservices-based backend systems for enterprise and IoT-scale platforms. My journey so far has been defined by a relentless focus on building high-performance, cloud-native architectures that serve real-world, production-grade demands — including managing systems supporting millions of connected IoT devices, real-time messaging pipelines, and massive data workloads. At the core of my skill set lies a robust expertise in Java and the Spring ecosystem — including Spring Boot, Spring Data, and Spring Cloud — through which I’ve delivered critical features, improved system throughput, and maintained platform reliability at scale. I specialize in event-driven architectures, and have worked extensively with modern messaging systems like Apache Kafka, MQTT, Azure Event Hub, and Azure Service Bus, building fault-tolerant, asynchronous pipelines to ensure durability and responsiveness under peak load. Backend Engineering at Scale From Day 1, my role has gone beyond just writing code. I’ve contributed as a system thinker and backend problem-solver, owning services end-to-end — from initial design and architecture, to development, performance tuning, observability, and scaling. Whether it's optimizing throughput, minimizing infrastructure costs, or solving complex integration challenges, I bring a production-first mindset with a sharp eye for clean design and high-availability solutions. One of my proudest achievements has been the design and deployment of backend APIs capable of processing thousands of requests per second — with intelligent resource tuning to minimize infrastructure costs, while maintaining high throughput and low latency. This required deep coordination across service design, load testing, JVM tuning, database performance optimizations, and observability frameworks — a full-stack backend engineer’s dance that I’ve grown to love. Core Stack: Java, Spring Boot, Spring Data, Spring Cloud, REST APIs, WebFlux Event Systems: Kafka, MQTT, Azure Event Hub, Service Bus Cloud Platforms: Azure (AKS, Event Hub, Blob, Service Bus, Monitor), Kubernetes, Docker, AWS Databases: PostgreSQL, MongoDB, Redis, Elasticsearch, Azure Data Explorer Security & IAM: Keycloak, Okta, OAuth2, RBAC Observability: Prometheus, Grafana, ELK, Actuator DevOps & CI/CD: GitHub Actions, Helm, Jenkins, Blue-Green and Canary deployments Infra-Aware: HPA, Probes, Resource Quotas, JVM Tuning