
51 - 200 employees
Founded 2000
🏢 Enterprise
🤝 B2B
Enterprise • B2B
The AES Group is a technology consulting and services firm that delivers digital transformation solutions focused on customer experience, employee experience, business operations, and emerging technologies. The company combines talent and technology to implement cloud and enterprise software solutions, adopt AI and other new technologies, and collaborate with clients to drive measurable business outcomes. It also publishes industry insights and thought leadership related to CX, employee engagement, and technology-driven business change.
🕒 May 9
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51 - 200 employees
Founded 2000
🏢 Enterprise
🤝 B2B
Enterprise • B2B
The AES Group is a technology consulting and services firm that delivers digital transformation solutions focused on customer experience, employee experience, business operations, and emerging technologies. The company combines talent and technology to implement cloud and enterprise software solutions, adopt AI and other new technologies, and collaborate with clients to drive measurable business outcomes. It also publishes industry insights and thought leadership related to CX, employee engagement, and technology-driven business change.
• Design, develop, and maintain decision services using Drools (DRL); • migrate legacy workflows to cloud-native Kogito microservices. • Build and manage AWS Bedrock Knowledge Bases to enable accurate, context-aware AI responses. • Create automated pipelines to extract, clean, and convert legacy documentation into optimized formats (Markdown/vector-ready), stored in Amazon S3. • Develop secure, high-performance REST APIs using Quarkus or Spring Boot to integrate chatbot capabilities into Java applications. • Deploy and scale business automation services in Kubernetes/OpenShift environments. • Collaborate with engineering and product stakeholders to improve decision accuracy, performance, and maintainability.
• 3–5 years of professional Java experience (8/11/17+) with Spring Boot or Quarkus. • Hands-on experience writing/debugging Drools rules and implementing DMN (Decision Model and Notation). • Proven experience with Kogito for cloud-native business processes. • Experience with AWS Bedrock (Knowledge Bases, Agents, and/or prompt engineering). • Strong working knowledge of Amazon S3 for document storage and metadata tagging. • Experience converting legacy HTML/XML documentation into structured formats (Markdown/JSON) for AI usage. • Experience with Git, CI/CD pipelines, Docker, and Kubernetes.
• Competitive salary • Opportunity for advancement • Training & development
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