Cloud & Infrastructure Engineer
conxai Open · verified Oct 24, 2026 At a glance
Mid-level Platform & Infrastructure role at conxai. Munich · full-time.
Pay not stated Platform & Infrastructure salary
devopsroles summary, based on the employer's posting.
What you'll do
- Design and run production Kubernetes clusters that can handle demanding AI workloads
- Use Terraform to keep AWS environments across multiple regions consistent and secure
- Automate containerized microservice releases by building and improving GitLab pipelines with Helm and Docker
- Set up monitoring and automatic scaling to absorb sharp changes in AI processing demand
- Protect AEC data with security controls that meet requirements across regions
What you bring
- At least four years in DevOps or SRE, focused on Kubernetes and AWS
- Strong working command of Helm, Docker and Terraform
- A track record of creating complex automated workflows in GitLab
Who this fits
This role suits an infrastructure engineer who wants to shape reliable systems for AI workloads and take ownership of infrastructure strategy. It is based in Munich.
From the employer
About CONXAI
CONXAI has built an 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
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