Subject Matter Expert (SME) – Java, AWS, and AI

Saic; Washington (District of Columbia); Hybrid; USD 160,000 - 200,000; Full time

Job summary

SAIC seeks a highly skilled Subject Matter Expert in Java, AWS cloud services, and AI to design, develop, and optimize enterprise technology solutions. The SME will lead architecture discussions, guide development teams, and ensure secure, scalable performance across cloud-native Java applications.

This role requires deep expertise, strong communication, and the ability to obtain a Public Trust clearance. Responsibilities include mentoring engineers, evaluating AI tools, modernizing legacy

Qualifications

• Bachelor’s degree in computer science, Information Systems, Engineering, or related field with 14+ years of experience or 10+ years with a Master’s degree.
• Extensive experience with Java development and object-oriented programming.
• Strong hands-on experience with AWS cloud services and cloud architecture.
• Demonstrated experience with AI/ML concepts, tools, or platforms.
• Experience designing and delivering scalable enterprise applications.
• Strong understanding of software development lifecycle, agile methodologies, and DevOps practices.
• Experience with API development, microservices, and distributed systems.
• Knowledge of security best practices in cloud and application development.
• Excellent analytical, problem-solving, and communication skills.
• Selected candidate must be able to obtain a Public Trust clearance.

Responsibilities

• Serve as the technical SME for Java-based applications, AWS cloud environments, and AI-enabled solutions.
• Provide guidance on system architecture, solution design, and implementation best practices.
• Lead technical discussions and advise development teams on complex issues and design decisions.
• Design, develop, and maintain scalable Java applications and services.
• Architect and support cloud-native solutions using AWS services such as EC2, S3, Lambda, RDS, ECS, EKS, CloudFormation, IAM, and related tools.
• Evaluate, recommend, and integrate AI/ML tools, frameworks, and services to support business and technical objectives.
• Support modernization efforts, including migration of legacy applications to cloud-based platforms.
• Ensure solutions meet performance, security, reliability, and compliance requirements.
• Troubleshoot production issues and perform root cause analysis as needed.
• Collaborate with cross-functional teams including product owners, engineers, architects, testers, and stakeholders.
• Review technical documentation, standards, and procedures.
• Mentor team members and share knowledge through coaching, reviews, and training sessions.
• Stay current with emerging technologies, particularly in Java, AWS, cloud architecture, and AI.

Skills

Java development

OOP programming

Cloud architecture

DevOps practices

API development

Microservices

Security best practices

Communication skills

Public Trust

Education

Bachelor’s degree + 14 years experience

Master’s degree + 10 years experience

Tools

AWS

Terraform

Docker

Kubernetes

Job description

Description

We are seeking a highly skilledSubject Matter Expert (SME)with deep technical expertise inJava, AWS cloud services, and artificial intelligence (AI)to support the design, development, implementation, and optimization of enterprise technology solutions. The SME will provide technical leadership, consult on architecture and best practices, and help guide teams in building scalable, secure, and efficient solutions. This role will also contribute to evaluating and applying AI capabilities to improve business processes, automation, and system performance.

Key Responsibilities

• Serve as the technical SME forJava-based applications, AWS cloud environments, and AI-enabled solutions.
• Provide guidance on system architecture, solution design, and implementation best practices.
• Lead technical discussions and advise development teams on complex issues and design decisions.
• Design, develop, and maintain scalable Java applications and services.
• Architect and support cloud-native solutions usingAWSservices such as EC2, S3, Lambda, RDS, ECS, EKS, CloudFormation, IAM, and related tools.
• Evaluate, recommend, and integrate AI/ML tools, frameworks, and services to support business and technical objectives.
• Support modernization efforts, including migration of legacy applications to cloud-based platforms.
• Ensure solutions meet performance, security, reliability, and compliance requirements.
• Troubleshoot production issues and perform root cause analysis as needed.
• Collaborate with cross-functional teams including product owners, engineers, architects, testers, and stakeholders.
• Review technical documentation, standards, and procedures.
• Mentor team members and share knowledge through coaching, reviews, and training sessions.
• Stay current with emerging technologies, particularly in Java, AWS, cloud architecture, and AI.

Qualifications

• Bachelor’s degree in computer science, Information Systems, Engineering, or related field, with minimum 14 years of experience or 10 years of experience with Master’s degree
• Extensive experience withJava developmentand object-oriented programming.
• Strong hands-on experience withAWS cloud servicesand cloud architecture.
• Demonstrated experience withAI/ML concepts, tools, or platforms.
• Experience designing and delivering scalable enterprise applications.
• Strong understanding of software development lifecycle, agile methodologies, and DevOps practices.
• Experience with API development, microservices, and distributed systems.
• Knowledge of security best practices in cloud and application development.
• Excellent analytical, problem-solving, and communication skills.
• Selected candidate must be able to obtain a Public Trust clearance

Preferred Qualifications

• Experience withSpring Boot, Spring Cloud, Hibernate, RESTful APIs.
• Experience with containerization and orchestration technologies such asDockerandKubernetes.
• Experience with AWS automation and infrastructure-as-code tools such asTerraformorCloudFormation.
• Familiarity with AI/ML frameworks, prompt engineering, or generative AI solutions.
• Experience with monitoring and observability tools.
• Prior experience serving in a lead or advisory technical role.

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