DevOps & Data Engineer
NTT DATA Services•Milton, GA
•$106,840 - $160,260•Remote
About The Position
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a DevOps & Data Engineer to join our team in Alpharetta, Georgia, Georgia (US-GA), United States (US).
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.
Nice To Haves
- Strong analytical, troubleshooting, and problem-solving skills.
- Good communication and collaboration skills.
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.
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
- additional voluntary or legally-required benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
