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Global brand, Bangalore metro, mid-level cloud role and broad cloud/Databricks skillset drive high competition.
Core cloud skills are transferable but Databricks and AI automation specialization increase domain specificity.
Explicit 7+ years requirement plus mandatory Databricks, cloud, IaC, Kubernetes, and automation skills increases strictness.
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Deploy, configure, and operate Databricks environments on Google Cloud Platform and/or Microsoft Azure with a focus on networking, automation, and platform operations.
Develop and integrate AI-driven tools and automation to enhance developer productivity, streamline workflows, and enable efficient, scalable cloud engineering operations.
Design and manage cloud networking, Infrastructure as Code (Terraform), CI/CD pipelines, and security governance for Databricks and related cloud services.
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 Databricks deployment and operations on GCP and/or Azure.
Proficiency with cloud networking, Terraform, CI/CD pipelines, automation tools, and programming in Python, Bash, or PowerShell.
Experienced in building and leveraging AI-powered tools within cloud platform engineering to improve productivity and automate workflows.
Skilled in hybrid cloud networking and managing secure, scalable cloud environments integrating multiple services.
Capable of mentoring junior engineers and collaborating with cross-functional teams to implement best practices in cloud and platform engineering.