Backend Developer Resume Example & Guide

• •Architected and deployed a multi-tenant event ingestion pipeline using Go and Apache Kafka, processing 180M+ daily events with sub-20ms consumer lag.
• •Cut API p95 latency from 420ms to 135ms across 14 microservices by introducing a distributed Redis caching layer and connection pooling in PostgreSQL.
• •Executed a zero-downtime database migration from MongoDB to PostgreSQL for a 4TB financial transactions dataset, designing double-write and shadow validation pipelines.
• •Engineered token-bucket rate limiting and circuit breakers using Envoy and Redis, preventing cascade failures and protecting downstream services during traffic spikes (up to 18,000 RPS).
• •Mentored 5 junior and mid-level backend engineers, introducing API contract testing via OpenAPI and driving weekly architecture design reviews.

• •Built core customer billing and payment microservices in Node.js (TypeScript) and Express, processing $12M+ in monthly transactions with Stripe and Adyen.
• •Optimized heavy reporting queries in PostgreSQL with composite indexing and query plan analysis (EXPLAIN ANALYZE), reducing p99 report generation time from 8.2s to 480ms.
• •Designed asynchronous background job workers with BullMQ and Redis, offloading intensive PDF invoice generation and webhooks with automatic retries and dead-letter queues.
• •Constructed automated integration and load testing suites using Jest, Supertest, and k6, achieving 88% branch coverage and establishing baseline SLAs prior to major product releases.

Open-source distributed task scheduler supporting delayed execution and worker lease-locking.

• •Implemented token-bucket and sliding-window rate limiting middleware with sub-millisecond overhead; achieved 950+ GitHub stars.
• •Achieved zero task duplication across 10 distributed worker nodes utilizing Redis Redlock algorithm.

High-throughput webhook delivery service ensuring at-least-once delivery with exponential backoff.

• •Processed 12,000 webhooks/sec with persistent dead-letter queue replay and Prometheus latency alerting.