GCP DevOps & Data Engineer (Onsite) @ Atlanta, GA

Saxon Global•Atlanta, GA

3d•Onsite

About The Position

We are seeking a GCP DevOps & Data Engineer to design, develop, and maintain cloud-native applications and infrastructure on Google Cloud Platform. This role involves optimizing data engineering solutions using Databricks, implementing CI/CD pipelines, building APIs, and managing artifact repositories. The engineer will also develop data ingestion pipelines, design event-driven architectures, automate infrastructure provisioning, and ensure GCP security compliance. Experience with source code management and release pipelines using Azure DevOps is also required.

Requirements

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 GCP security, IAM, encryption, and cloud governance best practices.
Excellent analytical, communication, and problem-solving skills.

Responsibilities

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 GCP security standards, including IAM, encryption, monitoring, and governance.
Manage source code repositories and release pipelines using Azure DevOps.