Job Description

Key Responsibilities

  • Deployment & Infrastructure Engineering
  • Deploy EXLdata.ai in client-owned AWS/Azure/GCP environments.
  • Configure networking, security, CI/CD, Kubernetes, API gateways, and identity integration.
  • Troubleshoot environment, infra, IAM, and pipeline-related issues.
  • Lead cloud-level optimizations (scaling, cost, performance tuning).
  • Data Engineering & Pipeline Enablement
  • Build, customize, and optimize data pipelines using PySpark, SQL, Databricks, Snowflake, or native hyperscaler data services.
  • Integrate platform agents into client workflows (Data Migration, DQ, DataOps, Annotation).
  • Assist client SMEs in onboarding data sources, targets, and transformations.
  • Value Realization & Client Enablement
  • Serve as the technical anchor for first-of-kind deployments at each client.
  • Ensure clients see measurable value from agent-driven automation (SLA reduction, pipeli...

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