JOBSEARCHER

DevOps & Data Engineer

NTT DataAtlanta, GAL6 LeadSeptember 22nd, 2026
Overview In this role you will build and scale AI/ML-enabled cloud-native applications. You will work acrossProduct, Data Engineering, and Infrastructure to deliver scalable AI solutions on Google Cloud, Databricks, and CI/CD pipelines. You will implement secure, event-driven data pipelines and serverless backend services, while enforcing best practices across the development lifecycle. This position offers the chance to impact AI capabilities and cloud infrastructure in a global organization. Compensation / Benefitsmedical, dental, and vision insurance with employer contributionflexible spending or health savings accountlife and AD&D insuranceshort and long term disability coveragepaid time off401k with company match ResponsibilitiesDevelop AI/ML apps leveraging Gemini API for NLU/NLGBuild cloud-native apps using Python, Databricks, and GCPDesign and maintain scalable backend services with Cloud Run/serverlessDevelop and optimize APIs via Google Cloud API GatewayBuild and maintain AI/ML data pipelines with DatabricksDevelop and maintain CI/CD pipelines using GitOpsManage build artifacts/repos with JFrog Artifactory and Azure DevOpsWork with GCP data services (BigQuery, AlloyDB, Cloud Storage, Spanner)Develop event-driven integrations using Pub/Sub and KafkaImplement Infrastructure as Code with TerraformCollaborate with Product, Data Engineering, and Infrastructure teamsFollow GCP security/IAM/encryption/cloud best practices throughout lifecycle Key requirements5+ years in Backend Development, AI/ML Engineering, DevOps, or Cloud Engineering5+ years with Google Cloud Platform services (Cloud Run, GKE, BigQuery, AlloyDB, Cloud Storage, serverless)5+ years Python development5+ years Databricks for AI/ML and data processing5+ years REST API development and Google Cloud API Gateway5+ years CI/CD, GitOps, Azure DevOps, and JFrog Artifactory5+ years Terraform for IaC5+ years Pub/Sub or Kafka5+ years GCP IAM, encryption, and cloud security best practicesBachelor's degree in Computer Science, Engineering, or related fieldStrong analytical and troubleshooting skillsGood communication and collaborationPythonDatabricksGoogle Cloud Platform (Cloud Run, GKE, BigQuery, AlloyDB, Cloud Storage, Spanner)REST API development