Shivansh Srivastava

Software Engineer @ Omli Kids

About

Engineer by training, problem-solver by instinct, curious human by design. I’ve written code in Python and C++, wrangled data with SQL, broken and fixed enough Jenkins pipelines to call it a relationship, and now I play in the world of DevOps, infrastructure, and security. I don’t chase buzzwords—I chase understanding. Whether it’s a new concept or a new crisis, I like knowing how things work and why they break. GenAI? It’s like my thinking partner. I use it to research, learn faster, and occasionally outsource the mental heavy lifting (because why not?). Motto: If it’s not a little confusing at first, it’s probably not worth doing. Philosophy: Stay curious. Stay useful. Laugh often.

Country

India

City

Delhi

Industry

Computer Software

Skill

FastAPI, Amazon Web Services (AWS), Backend, Back-End Web Development, Ownership, Cross-functional Team Leadership, Technology Integration, Continuous Integration and Continuous Delivery (CI/CD), Devtron, Kubernetes, Amazon EKS, Jenkins, Linux, Google Cloud Platform (GCP), Security, Network Security, Information Security, Physical Security, SOC 2, General Data Protection Regulation (GDPR)

Experience

Software Engineer

Omli Kids

2025-10 - Present · 1 yr

Gurugram, Haryana, India

Architected and scaled subscription and payment systems integrating Cashfree and Apple IAP, implementing webhook-driven, queue-based event processing to reliably handle 10K+ monthly transactions across distributed services. • Designed secure device–app pairing and fleet provisioning system, enabling authenticated WebSocket, HTTP, and MQTT communication via AWS IoT Core across 1M+ connected devices. • Built and maintained User Subscription and Feature Access Control services, managing multi-tier plans, entitlement enforcement, and usage limits for 90K+ active users. • Developed a flexible User Onboarding Service supporting experimentation and journey versioning, increasing onboarding conversion by 30%. • Optimized backend services for horizontal scalability using Kubernetes autoscaling and resource tuning, ensuring stable performance under peak traffic conditions. • Implemented Blue-Green deployment architecture with a centralized WebSocket session manager and custom SIGTERM signal handling to override default Uvicorn shutdown behavior, reducing abrupt connection closures by 80% and enabling zero-downtime deployments. • Implemented New Relic observability performance optimization, reducing API latency from 150ms to 50ms, improving Apdex from 0.6 to 0.93, and lowering AI server utilization from 97% to 71% using Redis and asynchronous queue processing for audio chunk processing.