ADK Fullstack Data Engineer

Owns hands-on deployment, integration, and stabilization of AI agents in Intel'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 ResponsibilitiesDeploy 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 Intel users; lead hypercare/stabilization.Mandatory (Must-Have) SkillsMaster-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) SkillsData extraction/normalization from Databricks, ServiceNow, Snowflake, OneDrive, Adobe.Vertex AI, observability tooling, SRE practices.Customer-facing deployment experience.Experience & Certifications7+ years DevOps/SRE/cloud engineering with 1+ year GenAI deployments.Google Cloud Professional certification preferred.Must be able to work onsite in the USA.