Remote DevOps & Data Engineer for AI/ML on GCP

NTT DATA, Inc.; Alpharetta (GA); On-site; USD 107,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401k match

Paid time off

Life & AD&D

Job summary

NTT DATA, Inc. in Alpharetta, GA is seeking a DevOps & Data Engineer to design, build and scale AI/ML driven cloud-native services on Google Cloud Platform and Databricks, delivering reliable, scalable backend systems.

You will develop APIs with Google Cloud API Gateway, implement IaC with Terraform, craft CI/CD pipelines, manage artifacts with Artifactory and Azure DevOps, and work with Pub/Sub or Kafka while upholding security and IAM best practices.

Qualifications

• 5+ years of Backend Development, AI/ML Engineering, DevOps, or Cloud Engineering.
• 5+ years experience with Google Cloud Platform services including Cloud Run, GKE, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.
• 5+ years experience developing applications using Python.
• 5+ years experience with Databricks for AI/ML and data processing workloads.
• 5+ years experience with REST API development and Google Cloud API Gateway.
• 5+ years experience with CI/CD, GitOps, Azure DevOps, and JFrog Artifactory.
• 5+ years Experience implementing Infrastructure as Code using Terraform.
• 5+ years experience with Pub/Sub or Kafka.
• 5+ years experience of GCP IAM, encryption, and cloud security best practices.

Responsibilities

• 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 GCP 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 GCP security, IAM, encryption, and cloud best practices throughout the development lifecycle.

Skills

Google Cloud Platform

Python

Databricks

REST API development

CI/CD/GitOps

Terraform

Pub/Sub / Kafka

GCP IAM & security

Cloud Run / GKE

Azure DevOps

Education

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

Tools

JFrog Artifactory

Azure DevOps

Google Cloud API Gateway

Cloud Run

Job description

NTT DATA, Inc. in Alpharetta, GA is seeking a DevOps & Data Engineer to design, build and scale AI/ML driven cloud-native services on Google Cloud Platform and Databricks, delivering reliable, scalable backend systems.

You will develop APIs with Google Cloud API Gateway, implement IaC with Terraform, craft CI/CD pipelines, manage artifacts with Artifactory and Azure DevOps, and work with Pub/Sub or Kafka while upholding security and IAM best practices.