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Senior Java Developer – AWS Cloud Migration and AI Models

SAIC

3.7
132 reviews
SAIC
Job Type   /   Job Level
Full-time   /   Others/Any
Job Location
District of Columbia, United States
Salary Range
USD 9,583 - USD 14,583 (Monthly)
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Job ID 2616710

Location Remote Work, DC, US

Date Posted 2026-09-11

Category Software

Subcategory SW Engineer

Schedule Full-Time

Shift Day Job

Travel No

Minimum Clearance Required None

Clearance Level Must Be Able to Obtain Public Trust

Potential for Remote Work ORA_REMOTE

Description

We are seeking a highly skilled Senior Java Developer with strong hands-on experience in Java application development, AWS cloud migration, and AI model integration or development. The ideal candidate will design, develop, modernize, and migrate enterprise applications to cloud-based environments while leveraging AI capabilities to enhance automation, intelligence, and system performance. This role requires deep technical expertise, problem-solving ability, and the capacity to work on complex, mission-critical systems.

Key Responsibilities

  • Design, develop, test, and maintain Java-based applications and services.
  • Lead or support the migration of applications from on-premises or legacy environments to AWS cloud.
  • Analyze existing systems and define migration strategies, including rehosting, replatforming, refactoring, or modernization as appropriate.
  • Develop scalable, secure, and high-performance solutions using AWS services such as EC2, S3, RDS, Lambda, ECS, EKS, IAM, CloudWatch, and CloudFormation.
  • Implement cloud-native and microservices-based architectures.
  • Integrate AI models or AI-enabled services into applications to support intelligent automation, analytics, or decision-making.
  • Collaborate with architects, engineers, analysts, and stakeholders to gather requirements and deliver technical solutions.
  • Troubleshoot application, infrastructure, and integration issues across development, testing, and production environments.
  • Optimize application performance, reliability, scalability, and security.
  • Write clean, maintainable, and well-documented code following engineering best practices.
  • Support CI/CD pipelines and DevOps practices for application deployment and release management.
  • Participate in code reviews, design reviews, and technical planning sessions.
  • Mentor junior developers and contribute to team knowledge sharing.

Qualifications

  • Bachelor’s degree in computer science, Information Systems, Engineering, or related field, with minimum 12 years of experience or 8 years of experience with master’s degree
  • Strong hands-on experience in Java development, including object-oriented design and enterprise application development.
  • Proven experience with AWS cloud migration projects.
  • Solid understanding of cloud architecture, deployment patterns, and AWS best practices.
  • Experience working with REST APIs, microservices, and distributed systems.
  • Familiarity with AI models, machine learning concepts, or AI-powered application integration.
  • Experience with version control, CI/CD tools, and agile development practices.
  • Strong debugging, troubleshooting, and root cause analysis skills.
  • Excellent verbal and written communication skills.
  • Selected candidate must be able to obtain a Public Trust clearance

Preferred Qualifications

  • Experience with Spring Boot, Spring MVC, Hibernate, JPA, or Spring Cloud.
  • Hands-on experience with Docker and Kubernetes.
  • Experience with infrastructure-as-code tools such as CloudFormation or Terraform.
  • Experience with AI/ML platforms, model deployment, prompt engineering, or generative AI services.
  • Knowledge of cloud security, IAM, encryption, and compliance requirements.
  • Experience modernizing legacy monolithic applications into cloud-native architectures.
  • Familiarity with monitoring and observability tools such as CloudWatch, Splunk, or Datadog.

Target salary range $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
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