Integrate, deploy, and operate AI SaaS offerings and self-hosted AI services for tech teams.
Design and maintain containerization and virtualization environments for AI agents and MCP servers.
Drive security hardening of AI agents and internal services, including secrets and access control.
Write code to extend, integrate, and automate supported services.
Build telemetry, monitoring, and evaluation infra for reliable AI workflows.
Collaborate with development teams as regional point of contact for AI platform.

🎯 Requirements

3+ years in a relevant systems/engineering role.
Bachelor’s in Computer Engineering/CS or equivalent.
Python or Go programming; shell scripting is a plus.
Strong Linux/Unix knowledge.
Hands-on with Kubernetes and Docker.
Experience with third-party SaaS and AWS cloud services.

🎁 Benefits

Global, collaborative, high-performance culture.

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