We are looking for highly seasoned Senior Software Architects and Fullstack Developers to lead the technical conception and implementation of a complex enterprise identity and application landscape. The project involves bridging legacy Java/JEE systems with modern Microservices, integrating specialized IAM tools (CyberArk/One Identity), and establishing a standardized logging and compliance framework for 2026.
Responsibilities
1. Architectural Design & Java Development
Lead the design and implementation of scalable Microservices using Spring Boot and Hibernate/JPA.
Develop and optimize modern frontends using Angular/TypeScript and maintain legacy JSF (PrimeFaces) modules.
Conduct OOA/OOD and document architectures using UML and tools like Enterprise Architect.
2. BPMN & Process Automation
Model and implement automated business processes using Camunda (BPMN) and rule engines (Drools/JRules).
Integration of workflow automation within the existing Java ecosystem.
3. IAM & Security Integration
Provide technical consultancy for CyberArk onboarding (Mainframe systems).
Design and implement JML (Joiner-Mover-Leaver) processes and authorization concepts.
Collaborate with technical teams to integrate SoD (Segregation of Duties) Matrix requirements into systems like SailPoint or One Identity.
4. Compliance & Logging Framework
Develop a standardized Application Logging Framework, including technical and organizational inventory.
Conduct criticality-based analysis and validate logging requirements with Application Owners.
Define the 2026 Target State for audit-compliant system monitoring.
Our team loves to have a good time, express their personality, and show it off to the world. Whether we’re celebrating a birthday, gathering for a team event, or celebrating a company’s success, we take pride in doing it with a smile. Life is too short not to have fun while you work.
At Intertec.io, we value engineers who can think across disciplines, communicate clearly and build practical, high-impact solutions. This internship is designed as the first step toward becoming a full-cycle, AI-native product engineer.
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