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Backend Engineer - Node.js
Backend Engineer - Node.jsI2B • Hyderabad
Backend Engineer - Node.js

Backend Engineer - Node.js

I2B • Hyderabad
7 days ago
Job description

Description :

Role : Backend Engineer - Distributed Data & Cloud Systems

About the Role :

We are building a data-driven platform that powers high-velocity data ingestion, secure APIs, multi-tenant architecture, and large-scale distributed systems. You will design and implement backend services, automate ETL flows, and manage cloud infrastructure to ensure high availability and performance.

Key Responsibilities :

Core Backend Development :

  • Experience in Building and maintaining REST APIs and backend services
  • Experience in handling structured & unstructured DBs. Need to be good at RDBMS.
  • Implement secure data flow : encryption / decryption, authentication, authorization.
  • Write clean, modular, well-tested code with thorough Unit Testing.

Data Engineering & Automation :

  • Design and implement ETL workflows and data ingestion pipelines from APIs
  • Develop cron / automation jobs and scraping utilities for external data sources.
  • Work with distributed computing frameworks (Kafka, Spark).
  • System Architecture :

  • Architect and optimize multi-tenant backend systems.
  • Manage queueing and event-driven workflows.
  • Cloud & Infra Ownership :

  • Understanding Cloud Infrastructure. Manage deployments on Cloud Infrastructure ( Pref : AWS)
  • Ensure observability : logging, monitoring, and alerting (like Grafana, Loki )
  • Tech Stack Exposure (Preferred) :

    Languages :

  • Node.js ( Primary )
  • Typescript / Python / Java
  • Cloud :

  • AWS / GCP / Azure (EC2, Lambda, S3, API Gateway, CloudWatch, IAM, etc.)
  • Distributed Systems :

  • Kafka, Spark
  • Cache :

  • Redis / Hazelcast
  • Automation / Workflow :

  • Apache Airflow, Cron
  • Data / DevOps Tools :

  • Shell scripting, Git, Docker, CI / CD pipelines
  • What Youll Bring :

  • Experience designing scalable and secure backend services.
  • Strong understanding of data engineering fundamentals (ETL, pipelines, ingestion).
  • Familiarity with performance tuning, caching strategies, async systems.
  • Understanding of high scale, multi-tenant architectures.
  • Ownership mindset ability to take a problem from concept to production.
  • Nice to Have :

  • Experience with microservices or serverless architecture.
  • Exposure to real-time data streaming systems.
  • (ref : hirist.tech)

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