Responsibilities:

• Analyze and document existing legacy business application architectures and data flows to identify migration and AI integration candidates.

• Design and implement migration plans for legacy systems to modern cloud-based AI analytics platforms (e.g. Microsoft, AWS and Google), applying appropriate frontier AI services as needed.

• Develop and maintain data pipelines, ETL processes, and integrations between enterprise business applications and AI-powered solutions on Linux environments.

• Administer and support Linux-based application servers, ensuring stability, performance, and security during and after migration activities.

• Collaborate with security and compliance teams to ensure GDPR and enterprise data governance standards are met throughout the migration.

• Assist in evaluating and integrating AI/ML capabilities such as LLM APIs and retrieval-augmented generation (RAG) solutions into enterprise business workflows.

• Support end-users and stakeholders during transition periods, providing technical guidance and training as needed.

• Contribute to defining best practices for AI-assisted development tooling usage within the team.

Requirements:

• Degree in Computer Science, Information Technology, Cyber Security or the equivalent with minimum 1 year of relevant experience in IT, software solution and in-house application support

• 1–2 years of hands-on experience supporting or developing enterprise business applications (ERP, CRM, or custom business systems).

• Essential working knowledge of Linux system administration:

           – Server configuration and service management

           – Shell scripting for automation and integration tasks

           – File system management, permissions, and log analysis

           – Package management and software deployment on Linux

• Practical experience with enterprise business applications:

          – ERP systems (e.g., Oracle E-Business Suite, SAP, or equivalent)

          – CRM or workflow management platforms

– Enterprise reporting and BI tools

• Scripting or development proficiency to support automation and integration (Python, Bash, or similar).

• Experience with RESTful API design and integration patterns.

• Familiarity with SQL and relational database concepts in enterprise environments.

• Understanding of ETL/ELT concepts and data pipeline development.