Responsibilities:
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Analyze and document existing legacy business application architectures and data flows to identify migration and AI integration candidates.
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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.
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Develop and maintain data pipelines, ETL processes, and integrations between enterprise business applications and AI-powered solutions on Linux environments.
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Administer and support Linux-based application servers, ensuring stability, performance, and security during and after migration activities.
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Collaborate with security and compliance teams to ensure GDPR and enterprise data governance standards are met throughout the migration.
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Assist in evaluating and integrating AI/ML capabilities such as LLM APIs and retrieval-augmented generation (RAG) solutions into enterprise business workflows.
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Support end-users and stakeholders during transition periods, providing technical guidance and training as needed.
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Contribute to defining best practices for AI-assisted development tooling usage within the team.
Requirements:
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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
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1–2 years of hands-on experience supporting or developing enterprise business applications (ERP, CRM, or custom business systems).
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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
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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
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Scripting or development proficiency to support automation and integration (Python, Bash, or similar).
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Experience with RESTful API design and integration patterns.
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Familiarity with SQL and relational database concepts in enterprise environments.
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Understanding of ETL/ELT concepts and data pipeline development.