Java Developer

Overview

On Site
Depends on Experience
Contract - W2
Able to Provide Sponsorship

Skills

SQLServer
Springboot
Java
MongoDB
Azure
Azure Kubernetes

Job Details

About the Role:

Schneider Electric is seeking a rock star Java Developer who thrives in building scalable, resilient backend systems and isn t afraid to roll up their sleeves and contribute to frontend work when needed. You ll be part of a high-impact team driving digital transformation across energy and automation solutions.

This role is backend-heavy, working with a modern cloud-native stack. Frontend skills in React are a bonus, useful for occasional UI enhancements or end-to-end feature development.

Key Responsibilities:

  • Architect and implement microservices using Spring Boot.
  • Deploy and manage services on Azure Kubernetes Service (AKS).
  • Design and maintain streaming pipelines with Apache Kafka.
  • Work with MongoDB and SQL Server for data storage and access patterns.
  • Collaborate closely with architects, DevOps, and frontend engineers to build secure, performant applications.
  • Contribute to frontend development in React, as needed.
  • Ensure system reliability, scalability, and performance.
  • Follow agile practices and participate in code reviews, sprint planning, and retrospectives.

Required Skills & Experience:

  • 5+ years of backend development experience in Java / Spring Boot.
  • Strong knowledge of Azure Cloud services, particularly AKS (Azure Kubernetes Service).
  • Experience with Kafka, including stream processing or event-driven architecture.
  • Hands-on experience with MongoDB and SQL Server.
  • Proficiency in REST APIs, secure service communication, and scalable microservices.
  • Working knowledge of Docker and container orchestration.
  • Comfortable working in CI/CD environments (Azure DevOps preferred).

Nice-to-Have:

  • Experience building or maintaining frontend apps using React.
  • Exposure to OAuth2, OpenID Connect, or other identity protocols.
  • Knowledge of API Gateway design, caching, and distributed systems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.