> Markdown version of [/jobs/ext/2542588-agentforce-google-cloud-platform-devops-data-engineer](https://www.wearedevelopers.com/jobs/ext/2542588-agentforce-google-cloud-platform-devops-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Agentforce - Google Cloud Platform DevOps & Data Engineer

- **Company:** VDart, Inc.
- **Location:** Alpharetta, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cloud Storage, Data as a Services, Information Engineering, DevOps, Identity and Access Management, Cloud Services, Google Cloud, Delivery Pipeline, Software Troubleshooting, Information Technology, Apache Kafka, Api Design, Restful APIs, Terraform, Data Pipelines, Serverless Computing, Databricks, Artifactory
- **Published:** August 12, 2026
- **Apply:** https://www.dice.com/job-detail/e4f28075-d8a5-4f8c-843b-2db9cb6e3713

## About the Role

* Bachelor's degree in Computer Science, Engineering, or a related field.

 * 3-5 years of experience in DevOps, Cloud Engineering, or Data Engineering.

 * Hands-on experience with Google Cloud Platform services including GKE, Cloud Run, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.

 * Experience with Databricks and data ingestion pipelines.

 * Experience implementing CI/CD pipelines using GitOps and Azure DevOps.

 * Experience with JFrog Artifactory.

 * Experience implementing Infrastructure as Code using Terraform.

 * Experience with Pub/Sub, Kafka, and API development.

 * Understanding of Google Cloud Platform IAM, encryption, and cloud security best practices.

 * Strong troubleshooting, analytical, and communication skills.

## Description

* Build and maintain data ingestion and processing pipelines using Databricks.

 * Design, deploy, and support Google Cloud Platform infrastructure using Terraform.

 * Develop and maintain CI/CD pipelines using GitOps methodologies.

 * Manage repositories and build artifacts using Azure DevOps and JFrog Artifactory.

 * Support containerized applications running on GKE and Cloud Run.

 * Develop integrations using Pub/Sub, Kafka, and REST APIs.

 * Work with Google Cloud Platform data services including BigQuery, AlloyDB, Cloud Storage, and Spanner.

 * Monitor, troubleshoot, and optimize cloud infrastructure and deployment pipelines.

 * Implement IAM, encryption, and cloud security best practices.

 * Collaborate with cross-functional teams to deliver scalable cloud solutions.


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