Description

Required:

• 7–9 years of professional software development experience.
• 7+ years of experience with Java and Spring-based application development.
• Strong hands-on experience with:
  • Java 8, 11, or 17+
  • J2EE
  • Spring Boot
  • Spring MVC
  • Spring Security
  • Spring Data JPA/Hibernate
  • RESTful APIs
  • Microservices
  • Oracle or PostgreSQL
  • Unix/Linux
  • Application development and production support
• Experience developing scalable and high-performance backend services.
• Experience with Azure Cloud services.
• Experience creating and maintaining CI/CD pipelines.
• Strong troubleshooting, debugging, and problem-solving skills.
• Experience supporting applications in cloud, on-premises, or hybrid environments.

Preferred:

• Docker experience.
• Kubernetes or Azure Kubernetes Service (AKS) experience.
• Azure Container Apps experience.
• Experience with NoSQL databases such as MongoDB or Couchbase.
• Experience developing AI agents or integrating AI models into applications.
• Experience with Shell/Bash scripting.

Responsibilities:

• Design, develop, test, deploy, and maintain enterprise-grade applications.
• Build scalable, high-performance backend services using Java, J2EE, Spring Boot, and Spring MVC.
• Develop RESTful APIs and microservices.
• Integrate applications with databases, third-party systems, and cloud services.
• Implement application security using Spring Security and Azure Active Directory.
• Perform unit testing, code reviews, debugging, and application performance tuning.
• Analyze technical requirements and participate in application design and architecture discussions.
• Support applications hosted in Azure, on-premises, and hybrid environments.
• Troubleshoot production issues, analyze application logs, and perform root-cause analysis.
• Collaborate with development, QA, infrastructure, and business teams to support successful releases.
• Use AI-assisted development tools to improve coding speed, quality, testing, and troubleshooting.
• Integrate AI agents into new and existing applications.
• Develop or support AI agents using different models to improve productivity and automate repetitive business or technical processes.
• Adapt AI-based solutions to meet application and team requirements.
• Design and deploy cloud-native applications using Microsoft Azure.
• Work with Azure services including:
  • Azure App Services
  • Azure Kubernetes Service (AKS)
  • Azure Functions
  • Azure Storage Accounts
  • Azure Key Vault
  • Azure Monitor
  • Application Insights
  • Azure Active Directory/Microsoft Entra ID
• Monitor deployed applications and troubleshoot cloud-related issues.
• Support secure application authentication and authorization.
• Build and maintain CI/CD pipelines using GitHub Actions, Git, and Azure DevOps.
• Automate application builds, testing, deployments, and release processes.
• Support deployment monitoring and production release activities

Key Skills

Education

Any Gradute