Title: Staff Software Engineer (Java, AWS, AI-Enabled)
Location: Rockville, MD or McLean, VA (Hybrid 3 days onsite with 2 days remote)
Duration: 6 Months with possible extension
Interview process: Prescreen, Phone, Onsite panel
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
Regards,
Hima Bindu
Appridat solutions LLC.
5655 Peachtree Parkway, Suite 212, Peachtree Corners, GA 30092
PHONE:*533 | Fax
Direct:
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