27 days ago
Gurgaon, IndiaSenior

Responsibilities

  • Architect, engineer, and administer Databricks on AWS for enterprise-scale analytics and AI workloads.
  • Build and maintain secure, scalable platform capabilities using Terraform, GitLab CI/CD, and AWS services.
  • Manage Databricks workspaces, clusters, jobs, policies, and Unity Catalog governance.
  • Enable AI/GenAI/RAG platform capabilities including document ingestion, embeddings, vector search, and model endpoint integration.
  • Support MLOps processes including MLflow, model lifecycle management, and deployment automation.
  • Implement monitoring, logging, security, and operational support for platform reliability and performance.
  • Collaborate with architecture, infrastructure, security, data engineering, and AI/ML teams to deliver enterprise platform standards.

Requirements

  • Bachelor’s degree in computer science, engineering, information systems, or a related field.
  • At least 5 years of experience in cloud platform engineering, DevOps, data platforms, or related roles.
  • At least 3 years of hands-on experience with Databricks.
  • Strong experience with AWS, Azure, GCP, Terraform, and GitLab CI/CD.

Tech Stack

AWSAzureDatabricksGitLab CI/CDGoogle Cloud PlatformMLflowTerraform

Categories

Corning Incorporated

About Corning Incorporated

10,000+ employees
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