Job description

FDE (Forward Deployed Engineer) Anywhere in USA or nearshore like Canada, Mexico, Costa Rica Master-level ADK and full-stack data engineering skills Role Summary Owns hands-on deployment, integration, and stabilization of AI agents in 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 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. • Must be able to work onsite in the USA.

Requirements

Must-haves

FDE (Forward Deployed Engineer)
Anywhere in USA or nearshore like Canada, Mexico, Costa Rica
Master-level ADK and full-stack data engineering skills
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 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.
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.
Must be able to work onsite in the USA.

Nice-to-haves

Preferred (Good-to-Have) Skills
Google Cloud Professional certification preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigoci/cdpython

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Effort: medium