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Known global brand plus Bangalore location and mid-level cloud role create moderate applicant competition.
Requires specific Databricks and cloud platform experience, limiting easy cross-industry portability.
Explicit 7+ years plus mandatory Databricks, cloud platform, Terraform, Kubernetes, and AI-automation skills increase selectivity.
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Deploy, configure, and operate Databricks platforms on Google Cloud Platform and/or Microsoft Azure with focus on scalable, secure cloud environments.
Design and implement cloud networking solutions and integrate Databricks with enterprise data platforms and cloud services.
Develop and apply AI-powered tools and automation for improving engineering productivity, CI/CD, infrastructure provisioning, and operational workflows.
7–10+ years total experience with 5–7 years in cloud engineering.
Bachelor’s degree in Computer Science, Engineering, or related field.
Strong hands-on experience with GCP and/or Azure, including Databricks deployment and operations.
Proficiency with Terraform (IaC), CI/CD pipelines, cloud networking, containers/Kubernetes, and scripting (Python, Bash, or PowerShell).
Experienced cloud engineer comfortable with hybrid connectivity and advanced cloud networking across GCP and Azure.
Skilled at leveraging AI/ML tools to automate workflows and enhance platform engineering efficiency.
Able to collaborate cross-functionally and mentor junior engineers while driving AI-powered cloud engineering excellence.