DevOps Engineer

About the role

CUBE AI is building an Agentic Crime Prevention Platform at the intersection of AI, cybersecurity, and fraud prevention. As a DevOps Engineer you will own the core infrastructure that powers a large‑scale agentic system on Google Cloud Platform (GCP) and enable engineering teams to ship services rapidly and safely.

Key responsibilities

• Own and scale the GCP estate using Terraform as the single source of truth.
• Run Kubernetes workloads on GKE and provide a self‑service platform for multiple teams.
• Design, implement, and maintain end‑to‑end CI/CD pipelines that prioritize speed and safety.
• Lead SRE practices: monitoring, logging, metrics, SLOs/SLAs, and reliable alerting.
• Scale the event‑driven backbone built on Pub/Sub and manage data services such as BigQuery, Cloud SQL, and MongoDB.
• Onboard new microservices, configure service‑to‑service networking, and manage configuration.
• Continuously improve reliability, scalability, and security in partnership with the security team.
• Automate repetitive tasks, leveraging AI agents where possible.

Required profile

• Strong passion for the mission of combating AI‑powered crime.
• Ability to learn quickly and operate confidently in uncertain environments.
• High intellectual curiosity and strong interpersonal skills.

Required skills

• Google Cloud Platform (GCP)
• Google Kubernetes Engine (GKE)
• Terraform
• Kubernetes
• Pub/Sub
• BigQuery
• Cloud SQL
• MongoDB