Google ADK & Gemini Enterprise Senior Software Engineer

Senior Software Engineer (Google ADK & Gemini Enterprise) Location: Remote - CST Duration: 6 - 12 months
Start Date: December 2025

**Must be able to work W2 for Method360 for the duration of this project**
Job Description:
Seeking a Senior Software Engineer (with App.Script Migration & ADK/GE Agent Engineering experience) to lead a critical strategic initiative focused on transitioning our existing automation and extension framework built on Google Workspace AppScript to a modern, scalable, and agentic architecture. This role is essential for delivering the next generation of intelligent, integrated enterprise applications.
The ideal candidate will possess deep expertise in:

• Python
• Extensive experience with Google ADK
• Proficiency with Vertex AI Agent Engine
• Familiarity with the Gemini Enterprise user interface runtime.

Key Responsibilities: Migration & Architecture Leadership

• AppScript Migration: Strategically execute a phased migration of legacy automation logic and integrations from Google Workspace AppScript into robust, maintainable Python-based services.
• Agentic Framework Design: Design and architect the target agentic framework utilizing Google ADK as the foundational application development kit.
• Vertex AI Integration: Implement core business logic and reasoning capabilities using the Vertex AI Agent Engine to create sophisticated, goal-driven agents.
• UI Runtime Integration: Ensure seamless and optimal performance of the developed agents and services within the Gemini Enterprise user interface runtime.

Development & Deployment

• Python Development: Serve as the subject matter expert in Python for developing scalable microservices, custom functions, and connectors required for the new agent ecosystem.
• AppScript Bridging: Utilize existing Google AppScript knowledge to effectively analyze legacy code, define migration scope, and establish temporary integration points during the transition phase.
• Agent Customization: Customize and fine-tune Large Language Models (LLMs) and tools within Gemini Enterprise/Agentspace to meet specific enterprise use cases.
• Google Cloud Platform Implementation: Deploy, manage, and scale the new services using relevant Google Cloud Platform (Google Cloud Platform) services (e.g., Cloud Functions, Cloud Run, Vertex AI).

Required Qualifications

• Minimum of 5+ years in a Data/AI Engineering, Software Engineering, or equivalent technical role, with significant focus on migration or re-platforming projects.
• Target Framework Expertise (Must Have):
• Proven prior project experience working with and developing applications using the Google ADK and Agentspace (now Gemini Enterprise)
• Direct, hands-on experience implementing or customizing agents using the Vertex AI Agent Engine framework.
• Practical knowledge of integrating and deploying services for consumption by the Gemini Enterprise user interface runtime (formerly Agentspace).

• Scripting & Legacy Knowledge:
• Extensive practical experience with Google Workspace AppScript, including analyzing, refactoring, and migrating AppScript code.

• Programming: Expert proficiency in Python for enterprise-grade application development, including API design and cloud functions.
• Cloud & Tools: Strong command of relevant Google Cloud Platform (Google Cloud Platform) services used for compute, deployment, and AI (Vertex AI, Cloud Functions, Cloud Run).

Preferred Qualifications

• Experience with CI/CD pipelines and Infrastructure as Code (e.g., Terraform) for deploying Google Cloud Platform resources.
• Deep understanding of enterprise security and governance as it applies to AppScript and Google Cloud Platform ADK/GE landscapes.
• Knowledge of good AI design principles and prompt engineering for optimizing agent performance.