Devops engineer with GenAI

Role Summary
Owns hands-on deployment, integration, and stabilization of AI agents in Client''s environment. Acts as the full-stack data / ADK engineer with master-level grasp of complex ADK builds and Finance/HR workflows, bridging engineering and operations to accelerate go-live and adoption.
Key Responsibilities
• Deploy agents to Gemini Enterprise Agent Engine, Cloud Run, or GKE with IAM, VPC-SC, and Model Armor.
• Build and maintain CI/CD pipelines, environment configuration, and secrets management.
• Integrate complex ADK agents with enterprise data sources and Finance/HR workflows.
• Troubleshoot integration, performance, and reliability issues; enable observability and tracing.
• Drive early adoption, feedback loops, and rapid iteration with Client users; lead hypercare/stabilization.
Mandatory (Must-Have) Skills
• Master-level ADK and full-stack data engineering skills.
• Complex Finance/HR workflow knowledge and enterprise integration.
• Strong Python; hands-on GKE, Cloud Run, Agent Engine, Terraform, Cloud Build/Deploy.
• Google Cloud IAM, VPC-SC, and security controls.
Preferred (Good-to-Have) Skills
• Data extraction/normalization from Databricks, ServiceNow, Snowflake, OneDrive, Adobe.
• Vertex AI, observability tooling, SRE practices.
• Customer-facing deployment experience.
Experience & Certifications
• 7+ years DevOps/SRE/cloud engineering with 1+ year GenAI deployments.
• Google Cloud Professional certification preferred.