
10,000+ employees
Founded 1969
☁️ SaaS
📣 Marketing
🏢 Enterprise
🔥 Funding within the last year
💰 $500M Post-IPO Debt - SAIC on 2025-09
SaaS • Marketing • Enterprise
SAIC is represented in the supplied content by marketing and product copy that matches Bitly — a cloud-based link management and QR-code platform. The material describes a SaaS offering for URL shortening, dynamic QR Codes, link analytics, mobile-friendly landing pages, branded links, UTM campaign tracking, digital business cards, developer APIs and AI-enhanced features. It targets marketers, developers, and enterprises across industries (retail, CPG, hospitality, media, healthcare, finance, education) and emphasizes integrations, analytics, and enterprise-grade capabilities. Note: the provided text appears to be Bitly’s website content rather than information about SAIC; if you intended the defense/technology firm SAIC (Science Applications International Corporation), please provide relevant content.
🔥 0 minutes ago
AWS
Cloud
Distributed Systems
Docker
EC2
Hibernate
Java
Kubernetes
Microservices
Spring
Spring Boot
SpringBoot
Terraform
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10,000+ employees
Founded 1969
☁️ SaaS
📣 Marketing
🏢 Enterprise
🔥 Funding within the last year
💰 $500M Post-IPO Debt - SAIC on 2025-09
SaaS • Marketing • Enterprise
SAIC is represented in the supplied content by marketing and product copy that matches Bitly — a cloud-based link management and QR-code platform. The material describes a SaaS offering for URL shortening, dynamic QR Codes, link analytics, mobile-friendly landing pages, branded links, UTM campaign tracking, digital business cards, developer APIs and AI-enhanced features. It targets marketers, developers, and enterprises across industries (retail, CPG, hospitality, media, healthcare, finance, education) and emphasizes integrations, analytics, and enterprise-grade capabilities. Note: the provided text appears to be Bitly’s website content rather than information about SAIC; if you intended the defense/technology firm SAIC (Science Applications International Corporation), please provide relevant content.
• 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 • 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 • Collaborate with product owners, engineers, architects, testers, and stakeholders • Review technical documentation, standards, and procedures • Mentor team members through coaching, reviews, and training sessions • Stay current with emerging technologies in Java, AWS, cloud architecture, and AI
• 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: Experience with Spring Boot, Spring Cloud, Hibernate, RESTful APIs • Preferred: Experience with Docker and Kubernetes • Preferred: Experience with AWS automation and infrastructure-as-code tools such as Terraform or CloudFormation • Preferred: Familiarity with AI/ML frameworks, prompt engineering, or generative AI solutions • Preferred: Experience with monitoring and observability tools • Preferred: Prior experience serving in a lead or advisory technical role
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