Staff Software Engineer (Java, AWS, AI-Enabled)

Job Summary

We are seeking a highly skilled Staff Software Engineer with strong backend engineering experience in Java, AWS cloud technologies, and modern CI/CD practices. This role will focus on building scalable enterprise applications, developing cloud-native microservices, improving deployment automation, and leveraging AI-assisted development tools to accelerate software delivery and engineering productivity.

Key Responsibilities

• Design, develop, and deploy scalable enterprise applications using Java and AWS cloud services
• Build and maintain RESTful APIs and microservices using Spring Boot and modern Java frameworks
• Develop and optimize CI/CD pipelines using Jenkins or GitLab CI/CD
• Implement automated testing strategies, monitoring, logging, and alerting for production environments
• Design cloud-native solutions leveraging AWS services such as EC2, Lambda, API Gateway, and RDS
• Support containerized application deployments using Docker, ECS, EKS, or Kubernetes
• Collaborate across engineering teams to support end-to-end SDLC workflows and production support activities
• Perform performance tuning, system optimization, and troubleshooting across distributed systems
• Apply security and compliance best practices throughout the software development lifecycle
• Utilize AI-assisted engineering tools to accelerate development, debugging, testing, and code quality improvements

Required Qualifications

• 5 years of hands-on Java development experience
• 3 years of experience building solutions on AWS
• Strong experience developing scalable backend systems and microservices architectures
• Experience with Spring Boot and REST API development
• Strong understanding of object-oriented programming principles and system design
• Experience building and maintaining CI/CD pipelines using Jenkins or GitLab
• Hands-on experience with automated testing frameworks and test automation practices
• Experience working with SQL databases and data storage technologies
• Familiarity with Docker and container orchestration technologies such as Kubernetes, ECS, or EKS
• Experience with cloud performance optimization, monitoring, and operational support
• Knowledge of DevOps principles and modern software engineering best practices
• Demonstrated experience using AI-assisted development tools within the SDLC

Preferred Experience

• Experience working in highly regulated or enterprise-scale environments
• Exposure to application security and compliance-focused engineering practices
• Experience supporting high-availability distributed systems in production