Solutions Engineer

• Designing, developing, and overseeing enterprise CMDB and integration architectures within ServiceNow
• Working closely with project leaders, technical teams, and stakeholders to define requirements
• Designing end-to-end solutions and ensuring seamless integration between ServiceNow CMDB and CI/CD pipelines
• Supporting optimal system performance and operational reliability
• Customization of ServiceNow (SNow) CMDB
• Designing enterprise-scale CMDB data models aligned with CSDM 5.0
• Conducting discovery workshops for architecture building blocks
• Documenting architectural decisions, constraints, and data models
• Defining phased approaches for reusable building blocks across business applications
• Deploying across structured ServiceNow environments (DEV/TEST/PROD)
• Integrating data and processes between ServiceNow and DevSecOps processes
• Mapping infrastructure and application resources
• Designing integration flows and data models
• Implementing integration mechanisms including APIs and event-driven ingestion mechanisms
• Monitoring and logging data pipelines

Senior Solution Architect

• Shape the future of data systems: Define conceptual specifications that drive the creation, evolution, and optimization of semantic systems, with an emphasis on secure, reliable, and user-friendly data flows;
• Enable seamless transformations: Develop implementation and migration strategies that ensure smooth transitions and long-lasting, sustainable architectures;
• Bring semantic data to life: Configure and maintain triplestore servers (Apache Jena, Virtuoso) and integrate semantic data into business intelligence tools, turning raw information into actionable insights;
• Leverage AI for smarter systems: Design and deploy predictive models, recommendation engines, and LLM-powered semantic reasoning to uncover hidden relationships and patterns in data;
• Build resilient cloud solutions: Develop and manage cloud-based Semantic Web applications (AWS Lambda, Azure Functions, S3/Storage) that are scalable, secure, and high-performing;
• Automate for efficiency and reliability: Apply DevOps and CI/CD practices (Jenkins, GitLab CI/CD, AWS CodePipeline, Azure DevOps) to streamline testing, deployment, and monitoring;
• Ensure peak performance: Monitor, troubleshoot, and optimize Semantic Web systems for speed, reliability, and cost-effectiveness;
• Communicate with impact: Deliver presentations, recommendations, and training that align stakeholders and share knowledge effectively.
• Guarantee continuity: Manage takeover and handover processes, preserving institutional knowledge and ensuring smooth transitions.

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Senior Solution Architect

Semantic AI & Cloud Solutions Engineer