Senior Java Developer – AWS Cloud Migration and AI Models

Posted 3 Days Ago
Hiring Remotely in VA, USA
Remote
Senior level
Security
The Role
Design, develop, test, modernize, and migrate enterprise Java applications to AWS. Build cloud-native microservices, integrate AI models, optimize performance and security, troubleshoot distributed systems, and support CI/CD and DevOps practices. Collaborate with technical stakeholders, participate in design and code reviews, mentor junior developers, and contribute to mission-critical application delivery. The role requires extensive Java and AWS migration experience, with eligibility to obtain Public Trust clearance.
Summary Generated by Built In

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.
About UsSAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Skills Required

  • Bachelor's degree in computer science, Information Systems, Engineering, or a related field, plus at least 12 years of experience
  • Alternatively, a master's degree with at least 8 years of experience
  • Strong hands-on Java development experience, including object-oriented design and enterprise applications
  • Proven experience with AWS cloud migration projects
  • Understanding of cloud architecture, deployment patterns, and AWS best practices
  • Experience 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
  • Ability to obtain a Public Trust clearance
  • Experience with Spring Boot, Spring MVC, Hibernate, JPA, or Spring Cloud
  • Hands-on experience with Docker and Kubernetes
  • Experience with 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 CloudWatch, Splunk, or Datadog
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The Company
HQ: Stamford, CT
34,000 Employees

What We Do

Spectrum San Diego is a high tech security innovator, specializing in ultra-low-dose X-ray screening systems.

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