> Markdown version of [/jobs/ext/4080917-google-cloud-platform-devops-data-engineer](https://www.wearedevelopers.com/jobs/ext/4080917-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).

---

# Google Cloud Platform DevOps & Data Engineer

- **Company:** Saxon Global
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Application Integration Architecture, Microsoft Azure, BigQuery, Cloud Database, Cloud Engineering, Cloud Storage, DevOps, Identity and Access Management, Software Engineering, Data Processing, Google Cloud, Data Ingestion, Spring Cloud, Delivery Pipeline, Event Driven Architecture, Infrastructure Automation Frameworks, Apache Kafka, Api Design, Terraform, Data Pipelines, Serverless Computing, Databricks, Artifactory
- **Published:** October 12, 2026
- **Apply:** https://www.dice.com/job-detail/edb4fca9-21c0-4173-9382-81faed512805

## About the Role

* 5+ years of experience in DevOps, Cloud Engineering, or Software Development.
 * Strong experience with Google Cloud Platform, including GKE, Cloud Run, BigQuery, Spanner, AlloyDB, and Cloud Storage.
 * Hands-on experience with Databricks and cloud-based data engineering.
 * Experience implementing CI/CD pipelines, GitOps methodologies, and API development.
 * Experience with JFrog Artifactory and Azure DevOps.
 * Proficiency in Infrastructure as Code using Terraform.
 * Experience building event-driven solutions using Pub/Sub and Kafka.
 * Strong understanding of Google Cloud Platform security, IAM, encryption, and cloud governance best practices.
 * Excellent analytical, communication, and problem-solving skills.

## Description

* Design, develop, and maintain cloud-native applications and infrastructure on Google Cloud Platform (GKE, Cloud Run, and serverless architectures).
 * Develop and optimize data engineering solutions using Databricks to support scalable and reliable data processing.
 * Implement and manage CI/CD pipelines and GitOps practices to automate software delivery and deployment.
 * Build and maintain APIs to support application integration and enterprise services.
 * Establish artifact management processes using JFrog Artifactory for dependencies, build artifacts, and container images.
 * Develop and maintain data ingestion pipelines leveraging BigQuery, Spanner, AlloyDB, and Cloud Storage.
 * Design and implement event-driven architectures using Pub/Sub and Kafka.
 * Automate infrastructure provisioning and configuration using Terraform.
 * Ensure compliance with Google Cloud Platform security standards, including IAM, encryption, monitoring, and governance.
 * Manage source code repositories and release pipelines using Azure DevOps.