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# Backend & AI/ML Engineer

- **Company:** NTT America, Inc.
- **Location:** Alpharetta, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $106,840.0 - $160,260.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cloud Storage, Continuous Delivery, Information Engineering, DevOps, Identity and Access Management, Cloud Services, Google Cloud, Delivery Pipeline, Software Troubleshooting, Backend, Information Technology, Apache Kafka, Api Design, Restful APIs, Terraform, Data Pipelines, Serverless Computing, Databricks, Artifactory
- **Published:** August 7, 2026
- **Apply:** https://www.juju.com/job/00000000glx6lx

## About the Role

+ 5+ years of experience in DevOps, Cloud Engineering, or Data Engineering.

 + 5+ years experience with Google Cloud Platform services including GKE, Cloud Run, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.

 + 5+ years experience with Databricks and data ingestion pipelines.

 + 5+ years experience implementing CI/CD pipelines using GitOps and Azure DevOps.

 + 5+ years experience with JFrog Artifactory.

 + 5+ years experience implementing Infrastructure as Code using Terraform.

 + 5+ years experience with Pub/Sub, Kafka, and API development.

Preferred Experience:

 + Understanding of GCP IAM, encryption, and cloud security best practices.

 + Strong troubleshooting, analytical, and communication skills.

Education

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

## Description

We are currently seeking a **Backend & AI/ML Engineer** to join our team in Alpharetta, Georgia,, Georgia (US-GA), United States (US).

Day to Day Job Duties:

 + Develop and support cloud-native data engineering solutions on Google Cloud Platform.

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

 + Design, deploy, and support GCP 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 GCP 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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