CloudSufi - AI Platform/MLOps/ AIOps Engineer

About CloudSufi :

CloudSufi is a global AI and data engineering company built on one mission : close the gap between human intuition and data-driven decisions.

We partner with enterprises across CPG, retail, energy, and financial services turning complex data into clarity, and now, AI agents into dependable production systems.

We call it #WeMakeEnterpriseDataDance. This role keeps the music playing.

The Role :

We're looking for someone who lives at the intersection of DevOps and AI observability someone who gets as excited about a clean CI/CD pipeline as they do about catching model drift before it reaches a customer.

If "reliable AI in production" sounds like your kind of problem, keep reading.

What You'll Own :

- Deploy and instrument AI agents for testing and monitoring

- Set up observability traces, logs, and metrics across the stack

- Run continuous evaluation directly on production traffic

- Build drift detection and alerting to catch regressions early

- Own the cloud infrastructure and CI/CD automation behind the platform

- Manage environments, access, and day-to-day operational reliability

Must-Have :

- Hands-on experience deploying AI/ML models or LLM-based agent workloads to production this is non-negotiable

- 3+ years in DevOps, MLOps, or platform engineering

- Strong Google Cloud experience Cloud Run, Cloud Build, Pub/Sub, Cloud Logging & Monitoring, IAM (or equivalent)

- Hands-on experience with CI/CD automation and infrastructure as code

Nice to Have :

- Experience with OpenTelemetry and AI/agent observability

- Exposure to Vertex AI, Gemini Enterprise Agent Platform, or ADK

Why CloudSufi :

We're a fast-growing AI and data company where your work on reliability doesn't just keep systems running it keeps trust running.

(ref:hirist.tech)