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• Industrialization of AI-assisted engineering workflows for Meridian
• Packaging repeatable patterns supporting codebase intake, dependency extraction, build triage, documentation generation, and technical evidence creation across cloud software work packages

• Design and build CI/CD pipelines at enterprise scale
• Build and maintain a catalogue of reusable, pre-approved infrastructure modules and deployment patterns
• Work with containerization and orchestration
• Set up observability including logging, metrics, tracing

• Creating the architecture and detailed design of HIL environments for embedded space systems
• Integrating and maintaining HIL environments for embedded space systems
• Integrating hardware components, simulators and software into cohesive systems

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• Support and lead AI risk and maturity assessments for client AI systems
• Review client AI systems and controls against the EU AI Act, ISO/IEC 42001, and related frameworks
• Contribute to AI governance program design including policies, procedures, RACI models, and training materials

• Technology architect with T Cloud Public hands-on experience
• Deep expertise in public cloud architecture
• Strong understanding of VPC networking
• Strong understanding of IAM & federation
• Strong understanding of cloud security architecture
• Strong understanding of Kubernetes & container platforms