Principal Engineer- React.js+Node.js+Golang (Remote)

Job Title : Principal Engineer – Full Stack

Location : Remote

Job Description

We’re looking for a

Principal Engineer – Full Stack

with

8+ years of experience

in building, architecting, and delivering scalable, high-performance web applications. The ideal candidate brings deep expertise in

Node.js, React.js, Go (Golang), and GraphQL , along with strong experience in

system architecture, database design , and

cloud-native deployments . You’ll lead technical strategy, ensure system reliability, and drive engineering excellence across teams.

Key Responsibilities

Architect and build scalable applications using

Node.js ,

Golang , and

React.js

Develop and maintain

high-performance APIs and microservices

with

GraphQL

and

Apollo .

Create

modern, reusable frontend components

with

React.js

and

TypeScript .

Design and optimize

PostgreSQL

databases, including

PostGIS

extensions.

Implement

CI / CD pipelines ,

Terraform , and

Kubernetes

deployments on

AWS / GCP .

Ensure reliability through

automated testing

using

Jest ,

Cypress , and

Testing Library .

Collaborate across teams on

architecture ,

performance optimization , and

best practices .

Must Have

8+ years

of hands-on experience in

full-stack engineering ,

architecture , and

system design .

Expert proficiency in

Node.js

for scalable backend architecture.

Deep experience with

React.js

and modern frontend development.

Strong command of

Go (Golang)

for performant, distributed systems.

In-depth knowledge of

GraphQL

and

Apollo Client / Server

for scalable APIs.

Extensive experience with

PostgreSQL

design, optimization, and

PostGIS .

Advanced

TypeScript / JavaScript

expertise across the full stack.

Strong focus on

testing and code quality

using

Jest ,

Cypress , and

Testing Library .

Good to Have

Architectural experience with

React Native

for cross-platform apps.

Hands-on with

Next.js

and

NestJS

for maintainable solutions.

Experience with

Kafka

for event-driven systems.

Knowledge of

Temporal

for workflow orchestration.

Proficiency with

Docker

and

Kubernetes

for containerized deployments.

Working knowledge of

Redis

for caching and session management.

Experience with

DataDog

or similar monitoring tools.