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# Java Google Cloud Platform Lead - Vertex AI

- **Company:** Vertex, Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Cloud Database, Cloud Engineering, Cloud Storage, Continuous Integration, Data Stores, Software Design Patterns, DevOps, NoSQL, Standard Sql, SQL Databases, Google Cloud, Spring-boot, Firebase, AngularJS, Software Coding, Terraform, Microservices
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/17712670-64b3-4d56-83ab-4848743ce471

## About the Role

* Strong Java + Spring Boot development with hands-on coding experience.
 * Experience with Google Cloud Platform services such as GKE, Cloud SQL, Cloud Storage, Pub/Sub, Firestore/Datastore, and Memorystore.
 * Hands-on experience with Vertex AI, Gemini, and AI Agents.
 * Proficiency in Terraform, Helm, CI/CD, and microservices.
 * Knowledge of SQL/NoSQL databases, design patterns, and cloud architecture.
 * Experience leading/mentoring development teams in an Agile/SAFe environment.

Preferred Skills:

 * Healthcare/clinical application experience.
 * Experience with AngularJS.
 * Engineering degree (BE/ME/BTech/MTech/BSc/MSc).

## Description

This position is for a Java Google Cloud Platform Lead with expertise in Vertex AI. The successful candidate will be responsible for leading and mentoring development teams in an Agile/SAFe environment, while also being involved in hands-on coding and development tasks. The role will involve working with various technologies such as Java, Spring Boot, Google Cloud Platform services, Terraform, and microservices to deliver innovative solutions in the healthcare/clinical application domain., * Lead and mentor development teams in an Agile/SAFe environment.

 * Develop and maintain Java + Spring Boot applications.
 * Utilize Google Cloud Platform services such as GKE, Cloud SQL, Cloud Storage, and Pub/Sub.
 * Work with Vertex AI, Gemini, and AI Agents for artificial intelligence solutions.
 * Implement CI/CD pipelines using Terraform, Helm, and DevOps practices.
 * Design and implement SQL/NoSQL databases and cloud architecture.
 * Collaborate with cross-functional teams to deliver healthcare/clinical applications.


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