DevOps & Data Engineer

Role Overview

NTT DATA is seeking a DevOps & Data Engineer to join their team in [city], [stateProvince], [country]. The role involves developing AI/ML applications, building and enhancing cloud-native applications, designing and developing scalable backend services, and collaborating with Product, Data Engineering, and Infrastructure teams.

What You Will Do

The successful candidate will develop AI/ML applications leveraging Google’s Gemini API, build and enhance cloud-native applications using Python, Databricks, and Google Cloud Platform, and design, develop, and maintain scalable backend services using Cloud Run and serverless architectures.

Why It Might Be a Fit

The ideal candidate will have 5+ years of experience in Backend Development, AI/ML Engineering, DevOps, or Cloud Engineering, and strong analytical, troubleshooting, and problem-solving skills.

Requirements

• 5+ years of experience in 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

Benefits

• Medical, dental, and vision insurance with an employer contribution
• Flexible spending or health savings account
• Life and AD&D insurance
• Short and long term disability coverage
• Paid time off
• Employee assistance
• Participation in a 401k program with company match

Tagged as: BigQuery, Python