ReactJS with Azure developer

ClifyX, INC
Atlanta, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Atlanta, United States of America

Tech stack

JavaScript
Airflow
Component-Based Software Engineering
Application Services
Unit Testing
Azure
Big Data
Cloud Storage
Continuous Integration
Directed Acyclic Graph (Directed Graphs)
Information Engineering
ETL
DevOps
Github
Python
Key Management
Node.js
Performance Tuning
Role-Based Access Control
Azure DevOps Pipelines
SQL Databases
Systems Integration
TypeScript
Web Applications
Workflow Management Systems
Data Processing
Tailwind
React
Spark
iOS
Cypress
Kubernetes Helm Charts
Containerization
Data Lake
PySpark
Kubernetes
Azure
GraphQL
Front End Software Development
React
React Testing Library
REST
Es2015
Docker

Requirements

The ideal candidate is a ReactJS frontend engineer with Azure cloud deployment expertise who can also design and orchestrate data workflows in Airflow, perform Python scipting and run Spark jobs on Kubernetes. They should be comfortable with Helm, Docker, and CI/CD pipelines for both application and data workloads. In addition to frontend work, the candidate will collaborate with Data Engineering team to deploy and orchestrate workflows in Apache Airflow and run Spark jobs on Kubernetes for large-scale data processing.

  • This is a cross-functional role - 70% frontend & Azure deployment, 30% data workflow orchestration and Kubernetes-based big data processing.
  • Candidate Profile - ReactJS + Azure (Primary), Airflow, Spark on Kubernetes
    1. Core Frontend Expertise (Primary)
  • ReactJS (3+ years) - building scalable, component-based SPAs.
  • Strong in JavaScript (ES6+) and TypeScript.
  • Experience with state management (Redux, Zustand, or Recoil).
  • UI frameworks: Material-UI, Ant Design, or TailwindCSS.
  • REST API and GraphQL integration.
  • Performance optimization (lazy loading, memoization, code splitting).
  • Unit testing with Jest, React Testing Library, or Cypress.
    1. Azure Cloud Skills (Majority Work)
  • Azure App Services and Azure Static Web Apps for frontend hosting.
  • Azure Kubernetes Service (AKS) - deploying containerized apps.
  • Azure Container Registry (ACR) - building and pushing Docker images.
  • Azure Key Vault - secure secrets management.
  • Azure DevOps Pipelines - CI/CD for React apps ([example pipeline here]5).
  • Familiarity with Helm charts for AKS deployments ([example full-stack React + AKS Helm setup]4).
  • Azure Storage (Blob, Table) for static assets and logs.
    1. Airflow (Workflow Orchestration)
  • Deploying Apache Airflow on Kubernetes (AKS) using Helm ([guide here]2).
  • Writing DAGs in Python for ETL and data processing.
  • Integrating Airflow with Azure Blob Storage, Data Lake, or SQL DB.
  • Using KubernetesExecutor for dynamic scaling ([example Airflow + PySpark on K8s]3).
    1. Spark with Kubernetes
  • Running PySpark jobs on Kubernetes clusters.
  • Experience with SparkSubmitOperator in Airflow for big data pipelines.
  • Optimizing Spark jobs for performance and cost.
  • Familiarity with persistent volumes and RBAC in Kubernetes for Spark workloads.
    1. DevOps & Containerization
  • Docker - multi-stage builds for React and Python/Node apps.
  • Helm - templating Kubernetes manifests for multi-environment deployments ([multi-stage Helm example]1).
  • kubectl - managing deployments, services, and pods.
  • CI/CD integration with Azure DevOps or GitHub Actions

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