HARSHIT SRIVASTAVA

Backend Engineer | Distributed Systems | Cloud-Native Architecture

Backend Engineer with 3+ years of experience designing and shipping production-grade, event-driven, and cloud-native systems using Node.js (TypeScript) and AWS. Proven track record of reducing API response times by 40%, increasing pipeline throughput by 30–50%, and architecting serverless distributed systems handling 100K+ record workloads. Deep expertise in asynchronous architectures, fault tolerance, multi-tenant SaaS, DLQ-based resilience, and zero-downtime deployments.

harshitsrivastava3119@gmail.com+91-8840420717Gurugram, Indialinkedin.com/in/harshit-srivastava

Skills

Node.js (TypeScript)Express.jsNestJSREST APIsJWTWebSocketsEC2S3LambdaSQSRDSDynamoDBCloudWatchMySQLPostgreSQLMongoDBDynamoDBEvent-Driven ArchitectureAsync ProcessingDead Letter Queues (DLQ)CQRSMicroservicesBatch ProcessingDockerPM2ApacheZero-Downtime DeploymentsJestSystem Design (HLD/LLD)CAP TheoremData ShardingAPI Rate LimitingMessage Queuing (RabbitMQ)Load BalancingCaching (Redis)ReactReduxTailwind CSS

Experience

Software Engineer

Stellar Information Technology Pvt Ltd

2023-07 – Present · Gurugram

  • Engineered scalable REST APIs using Node.js (TypeScript) and MySQL; applied advanced query optimization, composite indexing, and N+1 elimination — achieved 40% reduction in API response time with stable throughput under high-concurrency production loads.
  • Designed and implemented RabbitMQ-based async event pipelines with retry mechanisms, exponential backoff, and Dead Letter Queues (DLQs) — delivered 30–50% increase in message throughput with near-zero message loss.
  • Profiled and resolved high-concurrency database bottlenecks — eliminated N+1 query patterns, added composite indexes, and reduced redundant queries for measurable latency improvements at peak load.
  • Contributed to HLD/LLD documentation and system design reviews for new microservices, ensuring scalability, fault tolerance, and maintainability from inception.

Projects

▣

DISTRIBUTED REPORT GENERATION SYSTEM (AWS SERVERLESS)

Stack: Node.js | AWS Lambda, SQS, S3, RDS, DynamoDB | Scale: 100K+ records/job

  • Architected a fully serverless distributed report system (AWS SQS + Lambda + S3 + RDS + DynamoDB) — completely decoupled report execution from API requests, reducing end-to-end API blocking latency by ~95%.
  • Implemented intelligent load routing: small reports processed synchronously for low-latency delivery; large workloads (100K+ records) auto-chunked and dispatched via SQS for parallel Lambda execution.
  • Designed fault-tolerant Lambda workers with retry logic, exponential backoff, and DLQs — ensuring exactly-once processing with full auditability and zero silent failures.

Education

B.Tech in Computer Science & Engineering

Career highlights

July 2023

  • Started: Software Engineer at Stellar Information Technology Pvt Ltd

    Stellar Information Technology Pvt Ltd

Built with Round Zero