Mern Stack Developer

Qentelli; Hyderabad; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Qentelli in Hyderabad, India, is seeking a Senior Full Stack Engineer with strong expertise in React, TypeScript, Node.js, NestJS, GraphQL and PostgreSQL to build scalable, production-grade applications.

The role emphasizes end-to-end ownership across architecture, development, testing, deployment and monitoring, with desirable experience in AI/LLM integrations and modern data technologies such as Redis, Kafka, and GraphQL tooling.

Qualifications

• Strong hands-on experience with React.js and TypeScript.
• Strong backend development experience with Node.js and NestJS.
• Hands-on experience with GraphQL and Apollo Client/Server.
• Experience with PostgreSQL, including database design and query optimization.
• Experience with TypeORM or Prisma.
• Good understanding of Redis and Kafka or equivalent caching and messaging technologies.
• Experience with REST APIs and API Gateway patterns such as Apigee.
• Experience with Auth0 or equivalent identity/authentication platforms.
• Strong understanding of microservices and event-driven architecture.
• Experience developing and deploying production-grade applications.
• Strong problem-solving and debugging skills.

Responsibilities

• Own the complete feature lifecycle including architecture, development, code reviews, testing, deployment, and post-production monitoring.
• Develop responsive and scalable frontend applications using React.js and TypeScript.
• Build modular backend services using Node.js and NestJS.
• Design and implement GraphQL schemas, resolvers, and APIs using Apollo.
• Work with API Gateway platforms such as Apigee or equivalent technologies.
• Design and optimize PostgreSQL databases, schemas, queries, and data access layers using TypeORM or Prisma.
• Implement Redis for caching and Kafka for event-driven and asynchronous workflows.
• Integrate OpenAI, Google Gemini, or other LLM APIs into production applications.
• Handle AI-related production challenges including timeouts, rate limits, fallback mechanisms, token usage, and cost optimization.
• Work with Neo4j or graph-based data for relationship-driven applications and insights.
• Collaborate with data engineering teams on Snowflake, dbt, or Airflow pipelines.
• Implement monitoring and product analytics using tools such as Datadog and PostHog.
• Support A/B testing, feature flags, and experimentation platforms such as Optimizely.
• Identify and resolve performance bottlenecks across frontend and backend systems, including GraphQL N+1 queries, database performance, frontend rendering, and API response times.
• Participate in architecture discussions, ADRs, code reviews, and post-incident reviews.
• Work closely with Product, Design, Security, DevOps, and QA teams to deliver secure, scalable, and reliable solutions.

Skills

React.js

TypeScript

Node.js

NestJS

GraphQL

PostgreSQL

TypeORM

Prisma

Redis

Kafka

OpenAI APIs

LLMs

AI integration

API Gateway

Microservices

Auth0

Docker

Kubernetes

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Apollo

Apigee

Neo4j

Snowflake

dbt

Airflow

Docker

Kubernetes

Terraform

Jest

Vitest

Playwright

Job description

We are looking for a Senior Full Stack Engineer with strong experience in React, TypeScript, Node.js, NestJS, GraphQL, and PostgreSQL to build and deliver scalable, production-grade applications.

The ideal candidate should have strong end-to-end ownership across architecture, development, testing, deployment, monitoring, and performance optimization. Experience integrating AI/LLM APIs such as OpenAI or Google Gemini is highly desirable.

Role & Responsibilities

• Own the complete feature lifecycle including architecture, development, code reviews, testing, deployment, and post-production monitoring.
• Develop responsive and scalable frontend applications using React.js and TypeScript.
• Build modular backend services using Node.js and NestJS.
• Design and implement GraphQL schemas, resolvers, and APIs using Apollo.
• Work with API Gateway platforms such as Apigee or equivalent technologies.
• Design and optimize PostgreSQL databases, schemas, queries, and data access layers using TypeORM or Prisma.
• Implement Redis for caching and Kafka for event-driven and asynchronous workflows.
• Integrate OpenAI, Google Gemini, or other LLM APIs into production applications.
• Handle AI-related production challenges including timeouts, rate limits, fallback mechanisms, token usage, and cost optimization.
• Work with Neo4j or graph-based data for relationship-driven applications and insights.
• Collaborate with data engineering teams on Snowflake, dbt, or Airflow pipelines.
• Implement monitoring and product analytics using tools such as Datadog and PostHog.
• Support A/B testing, feature flags, and experimentation platforms such as Optimizely.
• Identify and resolve performance bottlenecks across frontend and backend systems, including GraphQL N+1 queries, database performance, frontend rendering, and API response times.
• Participate in architecture discussions, Architecture Decision Records (ADRs), code reviews, and post-incident reviews.
• Work closely with Product, Design, Security, DevOps, and QA teams to deliver secure, scalable, and reliable solutions.

Required Skills

• 57 years of professional software development experience.
• Strong hands-on experience with React.js and TypeScript.
• Strong backend development experience with Node.js and NestJS.
• Hands-on experience with GraphQL and Apollo Client/Server.
• Experience with PostgreSQL, including database design and query optimization.
• Experience with TypeORM or Prisma.
• Good understanding of Redis and Kafka or equivalent caching and messaging technologies.
• Experience with REST APIs and API Gateway patterns such as Apigee.
• Experience with Auth0 or equivalent identity/authentication platforms.
• Strong understanding of microservices and event-driven architecture.
• Experience developing and deploying production-grade applications.
• Strong problem-solving and debugging skills.

Good to Have

• Experience with OpenAI, Google Gemini, LLMs, or Generative AI.
• Knowledge of prompt engineering, rate limiting, fallback handling, and AI cost optimization.
• Experience with Neo4j or other graph databases.
• Experience with Snowflake, dbt, or Airflow.
• Experience with Optimizely or similar experimentation/feature-management platforms.
• Salesforce integration experience.
• Experience with AWS services such as ECS, RDS, Lambda, S3, and CloudWatch.
• Experience with Docker, Kubernetes, or Terraform.
• Experience with Jest, Vitest, or Playwright for unit, integration, and end-to-end testing.
• Strong architectural thinking and ability to work independently in a high-ownership environment.

Education

Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.