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# Python Developer with Google Cloud Platform & JFrog Artifactory

- **Company:** Ark Infotech Spectrum
- **Location:** Alpharetta, GA, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cloud Storage, Continuous Integration, Data as a Services, Information Engineering, DevOps, Identity and Access Management, Python (Programming Language), Machine Learning, Data Processing, Google Cloud, Spring Cloud, Software Application Programming, Backend, Git Flow, Information Technology, Apache Kafka, Build Tools, Google Gemini, Cloud Optimization, Api Gateway, Restful APIs, Terraform, Natural Language Understanding, Data Pipelines, Serverless Computing, Databricks, Artifactory
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/a4d38677-4e40-4a29-ac70-1a9eeead8882

## About the Role

* Bachelor's degree in Computer Science, Engineering, or a related field.
 * 3-5 years of experience in Backend Development, AI/ML Engineering, DevOps, or Cloud Engineering.
 * Hands-on experience with Google Cloud Platform services including Cloud Run, GKE, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.
 * Experience developing applications using Python.
 * Working knowledge of Databricks for AI/ML and data processing workloads.
 * Experience with REST API development and Google Cloud API Gateway.
 * Experience with CI/CD, GitOps, Azure DevOps, and JFrog Artifactory.
 * Experience implementing Infrastructure as Code using Terraform.
 * Experience with Pub/Sub or Kafka.
 * Understanding of Google Cloud Platform IAM, encryption, and cloud security best practices.
 * Strong analytical, troubleshooting, and problem-solving skills.
 * Good communication and collaboration skills.

## Description

Google Cloud Platform DevOps & Data Engineer/Data Scientist with hands-on experience in data pipelines and strong expertise in the skills listed below.

The following four skill areas are critical for this role:

· Programming Language: Python (Primary)

· Cloud Platforms: Google Cloud Platform (Google Cloud Platform), specifically AlloyDB, Cloud Run, and API Gateway

· ML/AI Frameworks/Data pipeline: Databricks and Gemini API

· DevOps & Build Tools: JFrog Artifactory

 * Develop AI/ML applications leveraging Google's Gemini API for natural language understanding and generation.

 * Build and enhance cloud-native applications using Python, Databricks, and Google Cloud Platform.

 * Design, develop, and maintain scalable backend services using Cloud Run and serverless architectures.

 * Develop and optimize APIs using Google Cloud API Gateway while following security and performance best practices.
 * Build and maintain AI/ML data pipelines using Databricks.
 * Develop and maintain CI/CD pipelines using GitOps methodologies.
 * Manage build artifacts and repositories using JFrog Artifactory and Azure DevOps.
 * Work with Google Cloud Platform data services including BigQuery, AlloyDB, Cloud Storage, and Spanner.
 * Develop event-driven integrations using Pub/Sub and Kafka.
 * Implement Infrastructure as Code using Terraform.
 * Collaborate with Product, Data Engineering, and Infrastructure teams to deliver scalable AI solutions.
 * Follow Google Cloud Platform security, IAM, encryption, and cloud best practices throughout the development lifecycle.