Lead Back End Engineer

Candidates who are ready to come for Face to face interview -Open to apply

5 Days Working from office

RESPONSIBILITIES

* Architect and implement REST APIs.

* Design and implement low-latency, high-availability, and performant applications.

* Lead integration of GenAI-powered capabilities into backend systems, including

prompt-based APIs and tool-using agents.

* Test software to ensure responsiveness, correctness and efficiency.

* Collaborate with front-end developers on the integration of elements.

* Take initiatives to build better and faster solutions to the problems of scale.

* Troubleshoot application-related issues and work with the infrastructure team to triage

Major Incidents.

* Experience in analyzing/researching solutions and developing/implementing

recommendations accordingly.

REQUIREMENTS

* Bachelor’s Degree in Computer Science or a related field.

* 4+ years of professional experience.

* Expertise in JavaScript (ES6) and Node JS is a must.

* Strong knowledge of algorithms and data structures.

* In-depth knowledge of frameworks like Express JS and Restify.

* Experience in building backend services for handling data at large scale is a must.

* Ability to architect high-availability applications and servers on cloud adhering to

best practices. Microservices architecture is preferable.

* Experience working with MySQL and NoSQL databases like DynamoDB and

MongoDB.

* Experience with LangChain, LangGraph, CrewAI, or equivalent GenAI agentic

frameworks is a strong plus.

* Experience writing complex SQL queries.

* In-depth knowledge of Node JS concepts like the event loop.

* Ability to perform technical deep-dives into code.

* Experience building and deploying GenAI-powered backend services or tools (e.g.,

prompt routers, embedding search, RAG pipelines).

* Understanding of communication using WebSockets.

* Good understanding of clean architecture and SOLID principles.

* Basic knowledge of AWS and Docker containerization is preferable.

* Experience in Python is a plus.

* Experience with AI-assisted development tools (e.g., Cursor, GitHub Copilot) to

accelerate development, assist in code reviews, and support efficient coding practices

is a plus.

* Familiarity with Git.