What awaits you/ Job Profile
| We are looking for a forwardthinking Cloud & AI Network Engineerto help design and evolve an Engineering Workflow Platformthat automates and digitalizes established processes across engineering departments. In this role you will work on cloud-native platforms with a strong emphasis on AI-driven communication patterns agent-based architectures and emerging AI network protocols (e.g. A2A MCP agentic designs).
Your work will enable intelligent autonomous and scalable interactions between engineering tools services and AI agents. You will contribute to shaping the technical foundation for next-generation engineering workflows where AI agents collaborate negotiate and orchestrate processes across systems.
|
What should you bring along
| - Design and operate cloud-based platforms for an engineering workflow ecosystem.
- Design and set standards for AI-oriented communication architectures including A2A MCP HTTP / REST for intelligent autonomous components.
- Develop and integrate agentic systems that coordinate workflows across distributed services.
- Automate infrastructure and platform components using Infrastructure as Code.
- Troubleshoot and optimize complex interactions between AI agents services and cloud infrastructure to ensure low latency scalability and reliability.
- Document architectures interaction models and platform design principles.
|
Must have technical skill | - Bachelors degree in AI Computer Science or related field.
- Hands-on experience with cloud native applications and architectures.
- Solid understanding of distributed systems and service-to-service communication.
- Strong interest in AI Protocols agent-based / agentic architectures.
- Experience with automation and IaC.
- Strong analytical thinking and system-level design skills.
|
Good to have technical skills | - Experience with LLM-based systems agentic systems or orchestration frameworks like n8n.
- Exposure to platform engineering or internal developer platforms.
- Knowledge of engineering or PLM environments.
- Experience with Kubernetes or container platforms.
- AWS certifications or AI-related certifications.
|
Required Experience:
Manager
What awaits you/ Job ProfileWe are looking for a forwardthinking Cloud & AI Network Engineerto help design and evolve an Engineering Workflow Platformthat automates and digitalizes established processes across engineering departments.In this role you will work on cloud-native platforms with a strong...
What awaits you/ Job Profile
| We are looking for a forwardthinking Cloud & AI Network Engineerto help design and evolve an Engineering Workflow Platformthat automates and digitalizes established processes across engineering departments. In this role you will work on cloud-native platforms with a strong emphasis on AI-driven communication patterns agent-based architectures and emerging AI network protocols (e.g. A2A MCP agentic designs).
Your work will enable intelligent autonomous and scalable interactions between engineering tools services and AI agents. You will contribute to shaping the technical foundation for next-generation engineering workflows where AI agents collaborate negotiate and orchestrate processes across systems.
|
What should you bring along
| - Design and operate cloud-based platforms for an engineering workflow ecosystem.
- Design and set standards for AI-oriented communication architectures including A2A MCP HTTP / REST for intelligent autonomous components.
- Develop and integrate agentic systems that coordinate workflows across distributed services.
- Automate infrastructure and platform components using Infrastructure as Code.
- Troubleshoot and optimize complex interactions between AI agents services and cloud infrastructure to ensure low latency scalability and reliability.
- Document architectures interaction models and platform design principles.
|
Must have technical skill | - Bachelors degree in AI Computer Science or related field.
- Hands-on experience with cloud native applications and architectures.
- Solid understanding of distributed systems and service-to-service communication.
- Strong interest in AI Protocols agent-based / agentic architectures.
- Experience with automation and IaC.
- Strong analytical thinking and system-level design skills.
|
Good to have technical skills | - Experience with LLM-based systems agentic systems or orchestration frameworks like n8n.
- Exposure to platform engineering or internal developer platforms.
- Knowledge of engineering or PLM environments.
- Experience with Kubernetes or container platforms.
- AWS certifications or AI-related certifications.
|
Required Experience:
Manager
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