Platform Engineer

• Translate customer requirements and use cases, standards, and system constraints into clear software architecture designs and implementation concepts.
• Ensure compliance with applicable standards, including TPM 2.0, Trusted Computing Group specifications, and relevant security certification requirements.
• Design and develop secure embedded software for Trusted Platform Module applications, with a strong focus on quality, robustness, and long-term maintainability.
• Provide technical guidance to development teams, including architecture decisions, design reviews, and code reviews.
• Monitor software quality, relevant KPIs, and development progress, and drive actions to achieve agreed targets.
• Collaborate closely with system, SOC, and test architects throughout the concept phase and project execution to ensure technical alignment.

Secure Software Architect, TPM – Trusted Platform Module

• Build, operate and continuously improve the Agentic AI Platform on Azure, including infrastructure, networking, access control, secrets and certificates
• Deploy and operate Azure AI Foundry (model endpoints, AI services, workspaces) including the complete model lifecycle (rollout, versioning, testing, rollback)
• Implement Infrastructure-as-Code (primarily Terraform) and CI/CD pipelines for reproducible, auditable platform releases
• Ensure observability (logging, metrics, tracing, performance, token usage, costs) and perform ongoing optimization, troubleshooting and upgrades
• Implement security and governance (guardrails, policies, IAM, quotas, Responsible AI, auditability) including secure connectivity (private endpoints, VNETs, isolation)
• Operate MCP infrastructure and manage FinOps (consumption, budgets, cost optimization), capacity and quota management, and consistent platform operations across the group

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Secure Software Architect, TPM – Trusted Platform Module

Platform Engineer – Agentic AI