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SAIC
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SAIC provides government services and information technology support

Senior Java Developer – AWS Cloud Migration and AI Models

Posted: 1 month ago
Hires remotely in
Remote Work Policy

Remote only

Company Location
Visa Sponsorship

Not Available

RelocationAllowed
Skills
Java
Machine Learning
Distributed Systems
REST APIs
Version Control
LAMBDA
ec2
S3
Microservices
AWS
IAM
Agile Development Practices
Cloudformation
RDS
CloudWatch
ECS
EKS
CI/CD Tools
Ai Models
AI-Powered Application Integration

About the job

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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