Conxai
Cloud & Infrastructure Engineer
Cloud & Infrastructure Engineer bei CONXAI in München. Die Rolle verantwortet die Skalierung und Resilienz der Infrastruktur für eine agentische KI-Plattform im AEC-Umfeld.
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What the employer offers
- Equity
Job description
About CONXAI CONXAI has built a no-code, agentic AI platform for the Architecture, Engineering and Construction (AEC) and physical industries, focused on knowledge-automation . We automate high-stakes, knowledge-intensive workflows traditionally trapped in siloed data, fragmented tools and tacit (undocumented) human expertise.
Our multi-agent systems perform complex reasoning in the physical world; and transform bespoke, service-heavy processes into scalable Service-as-a-Software automation. CONXAI is trusted by some of the leading AEC companies in Europe, US, LATAM and Japan. Your Role Build scalability and resilience for high-stakes AI reasoning We are looking for a Cloud & Infrastructure Engineer to take the backbone of our agentic AI platform to its next evolution.
You won't just be managing servers; you will architect the distributed environment where complex multi-agent systems perform real-time reasoning for the physical world . Your mission is to ensure our infrastructure is as modular and scalable as the knowledge automation use cases we power. What You’ll Do Orchestration: Architect and maintain production-grade Kubernetes clusters to support high-compute AI workloads IaC: Use Terraform to manage multi-region AWS environments, ensuring our global footprint (EU, US, LATAM, Japan) is consistent and secure CI/CD Excellence: Build and optimize GitLab pipelines to automate the deployment of containerized microservices via Helm and Docker Resilience: Implement robust monitoring and auto-scaling strategies to handle the "bursty" nature of knowledge-intensive AI processing Security: Ensure enterprise-grade security protocols for siloed AEC data, maintaining strict compliance across different geographic regions Who You Are 4+ years in DevOps or SRE roles with a focus on Kubernetes (k8s) and AWS Tooling Expert: Mastery of Helm, Docker, and Terraform is non-negotiable Pipeline Architect: Proven experience building complex, automated workflows in GitLab The "Why" Thinker: You don't just fix bugs; you build systems that prevent them, focusing on the long-term reliability of our "Service-as-a-Software" model Why CONXAI Edge of Innovation: Architect the backbone for real-time agentic AI in the AEC space.
High Autonomy: Drive the infrastructure strategy to scale our platform to its next evolution Top-Tier Peer Group: Work with a global team of ML engineers, software engineers and industry practitioners Equity & Scale: Competitive compensation with significant equity upside
