Shivansh Srivastava

Software Engineer

Delhi, India1 yr 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Architected scalable subscription systems for high transaction reliability.
Optimized backend services for peak traffic performance.
Implemented observability to enhance API performance metrics.

Stackforce AI infers this person is a Backend and DevOps Engineer with SaaS expertise.

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Skills

Core Skills

BackendDevops

Other Skills

API DevelopmentPython (Programming Language)AWS IoT CoreKubernetesNew RelicRedisProblem SolvingFastAPIAmazon Web Services (AWS)Back-End Web DevelopmentOwnershipCross-functional Team LeadershipTechnology IntegrationContinuous Integration and Continuous Delivery (CI/CD)Devtron

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.

Experience

1 yr 8 mos

Total Experience

1 yr

Average Tenure

7 mos

Current Experience

Omli kids

Software Engineer

Oct 2025 – Present · 7 mos · Gurugram, Haryana, India · On-site

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.