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Mid-level metro role with common DevOps skills and some niche MLOps requirements.
Requires specific cloud, observability, and MLOps experience, reducing cross-industry transferability.
Explicit 5–6+ years plus mandatory GCP, CI/CD, and MLOps experience raises screening strictness.
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Deploy, instrument, and monitor AI agents for enterprise-level testing on live production traffic.
Build and maintain observability systems including traces, logs, metrics, drift detection, and alerting for quality regressions.
Own and manage cloud infrastructure (primarily Google Cloud) and CI/CD automation for platform reliability and operational excellence.
5-6+ years of experience in DevOps, MLOps, or platform engineering.
Strong experience with Google Cloud services such as Cloud Run, Cloud Build, Pub/Sub, Cloud Logging and Monitoring, and IAM, or equivalent cloud platform expertise.
Hands-on experience with CI/CD automation and infrastructure as code.
Familiarity with deploying large language models (LLM) or AI agent workloads.
Proven operational ownership in cloud infrastructure and AI agent deployment environments.
Expertise with Google Cloud ecosystem and cloud-native monitoring solutions.
Experience integrating observability tools like OpenTelemetry into AI/agent platforms.