SAIC

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

SAIC$160K — $200K *
US-AnywhereRemote in De Pere, WI
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science or related field with 14 years of experience or 10 years with a Master's degree.
  • Extensive experience in Java development and object-oriented programming.
  • Strong hands-on experience with AWS cloud services and architecture.
  • Proficient in AI/ML concepts and tools.
  • Experience in designing scalable enterprise applications.
  • Strong understanding of SDLC, agile methodologies, and DevOps practices.
  • Knowledge of security best practices in cloud and application development.

Responsibilities

  • Serve as the technical SME for Java, AWS, and AI solutions.
  • Provide guidance on architecture and implementation best practices.
  • Lead technical discussions and advise on complex issues.
  • Develop and maintain scalable Java applications and services.
  • Support cloud-native solutions using AWS services.
  • Evaluate and integrate AI/ML tools for business objectives.
  • Collaborate with cross-functional teams and mentor peers.

Benefits

  • Continuous learning and professional development opportunities.
  • Access to cutting-edge technology and tools.
  • Flexible work environment and remote work options.
  • Health and wellness programs.
  • Paid time off and holiday leave.
Full Job Description
Job Description

Description

We are seeking a highly skilled Subject Matter Expert (SME) with deep technical expertise in Java, 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 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.

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 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
Preferred Qualifications
  • Experience with Spring Boot, Spring Cloud, Hibernate, RESTful APIs.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience with AWS automation and infrastructure-as-code tools such as Terraform or CloudFormation.
  • 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.

Overview

SAIC accepts applications on an ongoing basis and there is no deadline.

About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ

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