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

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

Location : Rockville, MD or McLean, VA

Target Start Date : ASAP

Type: contract

Pay Rate: DOE

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

Work Environment

Hybrid work environment with regular in-office collaboration requirements

Occasional extended hours or travel may be required based on project needs

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