Real-Time Full Stack Engineer - React, Python, Kafka

Elios, Inc.; New York (NY); Hybrid; USD 120,000 - 155,000; Full time

Job summary

Elios, Inc. is hiring a hands-on Full Stack Engineer to join an onsite Agile team in New York on a contract basis, with potential to extend.

You'll build and ship end-to-end applications across the stack, from responsive React interfaces to Python backend services, scalable REST APIs, and analytics-ready data models that support product features, reporting, and business insight. This role also includes building and maintaining real-time data pipelines with Apache Kafka, working with event-driven

Qualifications

• Hands-on Full Stack Engineer with experience building real-time data pipelines.
• Strong background in React front-ends and Python backends (FastAPI/Flask).
• Experience with event-driven microservices, REST APIs, and data modeling.

Responsibilities

• Build end-to-end applications across the stack for product features.
• Design and maintain real-time data pipelines using Apache Kafka.
• Collaborate in an Agile/Scrum environment using Jira; improve performance and reliability.

Skills

React

Python

FastAPI

Flask

REST APIs

SQL

TypeScript

Docker

Kubernetes

AWS

Kafka

Kafka Streams

Schema Registry

Grafana

OAuth

JWT

Jira

Git

Data modeling

Event-driven

Microservices

API versioning

Performance tuning

Async processing

Tools

Docker

Kubernetes

Kafka

Job description

Apache Kafka Event-driven architecture Microservices Async processing API versioning Performance tuning Data modeling FastAPI REST APIs React Python SQL TypeScript Docker Kubernetes AWS Git Kafka Streams Schema Registry Grafana OAuth JWT Jira Flask

Job Description

We're hiring a hands-on Full Stack Engineer to join an onsite Agile team in New York on a contract basis, with potential to extend. You'll build and ship end-to-end applications across the stack, from responsive React interfaces to Python backend services, scalable REST APIs, and analytics-ready data models that support product features, reporting, and business insight.

This role also includes building and maintaining real-time data pipelines with Apache Kafka, working with event-driven and microservices patterns, and handling asynchronous processing and messaging. You'll be expected to improve performance, scalability, reliability, and data quality across services.

The right person brings strong system design judgment, production experience with Python frameworks such as FastAPI, Flask, or Django, deep API design and versioning experience, solid SQL and relational database skills, and experience working in Git-based Agile/Scrum environments using Jira. Helpful extras include exposure to TypeScript, Docker, Kubernetes, AWS, Kafka Streams, schema registries, Grafana, and security practices such as OAuth and JWT.