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FDE (Forward Deployed Engineer)

Resource Logistics, Inc.
🇺🇸 United States
Hybrid
2 months ago
  • ADK
  • AI
  • Gemini
  • Cloud Run
  • GKE
  • IAM
  • VPC
  • CI/CD
  • Secrets Management
  • Python
  • Terraform
  • GCP
  • Databricks
  • ServiceNow
  • Snowflake
  • OneDrive
  • Adobe
  • Vertex AI
  • Devops
  • Machine Learning
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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.

FDE (Forward Deployed Engineer) · Resource Logistics, Inc.

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