Dibyanshu Sinha

I’m a Senior Backend, Platform and Full-Stack Engineer with 10+ years of experience designing, building, and operating distributed systems, pricing platforms, API ecosystems, cloud-native services, and internal tools across FinTech, HealthTech, SaaS, and AI-assisted products.

Since June 2020 at PayPal, I contribute to pricing-platform systems within a global payments ecosystem, working across Node.js, Java, Spring Boot, Kafka, Kubernetes, Docker, and cloud-native platforms. I helped build and operate event-driven workflows for pricing configuration and execution, modernize legacy pricing/admin systems without breaking business-critical logic and compliance workflows, and deliver React.js-based internal tools used by pricing, operations, product, and engineering teams.

I drive engineering quality and reliability by introducing Cypress and expanding testing (from ~10% to ~90%), strengthening CI/CD automation with regression validation, staged rollouts, and post-release monitoring, and leading observability, RCA, and reliability improvements using Grafana, Splunk, Kibana, DataDog, Azure App Insights, and OpenTelemetry. I’m comfortable operating as a senior/staff-level technical contributor, Engineering Lead, or Solution Architect while maintaining ownership of architecture, security, reliability, and production correctness.

Previously, as Director of Technology / Solution Architect at Shivom.io, I led architecture and hands-on solution work for a GDPR-compliant genomics data platform, designing secure API ecosystems with Kong Gateway, OAuth, JWT, and RBAC while building distributed microservices across AWS and GCP. Earlier at CryptoCentric / Delivery Centric, I modernized a legacy crypto exchange platform into cloud-native backend services, built scalable Node.js APIs and real-time WebSocket flows, implemented KYC/OTP and transaction services, and published a reusable npm module (bitcoin-rpc-api). Throughout, I use AI-assisted engineering workflows—LLM-assisted debugging, test generation, documentation, and code-review acceleration—to move faster without losing rigor.