Full Stack Engineer
Full Stack Engineer
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Job Description
We are looking for Full Stack Engineer. 2 Positions.
Role Overview:
As a Full Stack Engineer youll be responsible for developing and maintaining robust web applications ensuring realtime interactivity performance and seamless integration with data and AI services. Youll collaborate with crossfunctional teams including AI engineers product strategists and UX designers.
This is a fully remote position. Candidates must ensure a reliable internet connection and a distractionfree working environment.
Key Responsibilities:
Develop responsive and dynamic frontend applications using React (latest
version).
Implement realtime features using WebSockets for streaming data and agent
communication.
Build and maintain backend APIs and services using Python and Flask ensuring
performance and scalability.
Design and query relational databases (PostgreSQL/MySQL) efficiently; write
optimized SQL queries.
Integrate frontend components with backend services ensuring endtoend
reliability and performance.
Collaborate closely with DevOps product and AI teams to deploy features into
production.
Write clean maintainable and welldocumented code.
Conduct unit and integration testing to ensure robustness and reliability.
Participate in architecture discussions and technical reviews to guide feature
development.
Required Skills & Qualifications:
36 years of experience building full stack applications in production environments.
Strong proficiency in React (components services routing RxJS).
Experience with WebSocketbased communication preferably in enterprise or
highthroughput environments.
Proficiency in Python and backend development using Flask.
Solid experience with SQL databases query optimization and schema design.
Familiarity with RESTful APIs and application state management.
Understanding of deployment best practices version control (Git) and agile
development workflows.
Nice to Have (Preferred):
Experience with Azure Docker or Kubernetes for deploying applications at scale.
Background in realtime dashboards data visualizations or eventdriven systems.
Knowledge of authentication protocols (OAuth2 JWT) and API security.
Exposure to AI/MLbased platforms or previous experience working with data
scientists or ML engineers.
Work timing : 3 PM to 12 Midnight
Additional Information :
- Experience : 3 to 6 Years
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
