Raghvendra Pandey
Lead Software Engineer (Java, Golang Backend Developer) SaaS Distribution System
Gurugram
8+ years of work experience
Oct 202511 mosPresent
Gurugram, Haryana, India
● Architected an event-driven order synchronization platform using asynchronous workflows, idempotent processing, retry orchestration, and failure recovery mechanisms to reliably process 50K+ order events/day across distributed seller systems while ensuring eventual consistency.
● Led a cross-functional team of 4 backend engineers, 1 frontend engineer, and 2 analytics engineers to design and ship the audit logging platform tracking all external communications between Omniful and integrated sales channels — reducing support investigation effort by 60%.
● Designed a self-healing reconciliation workflow for recovering missed webhooks and out-of-order events using replayable recovery pipelines and consistency validation checks, reducing inventory mismatches by 30%.
● Architected and led the implementation of an observability-driven Redis caching layer for high-volume sales-channel lookup workflows, leveraging read-through caching, intelligent cache invalidation, hot-key mitigation, and optimized redis caching strategy. Drove end-to-end performance tuning and production rollout, achieving ~2.5 ms p95 read latency while offloading over 80% of database read throughput in production at scale.
Feb 20259 mosOct 2025
Noida, Uttar Pradesh, India
● Spearheaded the TDD initiative for the token validation service — defining testing standards, mentoring 4 engineers on test-first practices, and driving code coverage beyond 90%; authored the full technical documentation adopted as the team's engineering reference.
● Instrumented 8+ distributed Go and Java Springboot services with OpenTelemetry-based tracing, centralized SIEM logging, and structured observability pipelines, reducing mean time to detect (MTTD) production incidents by ~50% and enabling proactive threat detection across authentication workflows.
● Optimized token validation workflows through Redis-backed caching, connection pooling, and reduced downstream service dependencies, lowering p95 API latency by 60% under high-concurrency workloads.
Mar 20231 yr 11 mosJan 2025
India
● Architected a horizontally scalable OTP delivery platform using Redis-based distributed rate limiting, asynchronous notification fanout, retry-safe workflows, and idempotent processing to support millions of daily authentication requests with 99.9%+ delivery reliability.
● Implemented MFA, password history enforcement, and policy-driven password remediation flows across distributed authentication services with backward-compatible migration strategies — improving compliance with enterprise security policies and reducing repeated-password reuse incidents at CIBC scale.
● Designed and performance-optimized a low-latency user-context microservice handling peak traffic of ~5K requests/sec through Redis caching, gRPC-based inter-service communication, connection pooling, and reduced database round-trips.
● Drove the migration of CIBC’s core authentication platform from a tightly coupled monolith to distributed Go microservices, introducing stateless service architecture, gRPC communication, and distributed caching patterns that improved deployment agility, fault isolation, and horizontal scalability for high-concurrency authentication workloads.
Jun 20228 moFeb 2023
Gurugram, Haryana, India
Jun 20184 yJun 2022
India
Raghvendra’s AI Stack
Education
Bachelor of Technology - BTech
Motilal Nehru National Institute of Technology
20144 yrs2018
Computer and Information Sciences and Support Services
Scaler
20191 yr2020
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