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Mid-level, popular DevOps/platform role in Bangalore with known multinational brand increases applicant competition.
Platform DevOps skills are transferable across industries, though Databricks/Spark adds some data-platform specificity.
Explicit 5+ years and mandatory Azure/Databricks/Terraform/Spark/CICD skills create high filtering.
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Design, build, and operate scalable and secure Azure data platform infrastructure including Databricks, CI/CD systems, and Power BI integration.
Own platform infrastructure automation and reliability engineering to minimize manual operations via Infrastructure-as-Code, observability, and automated recovery.
Collaborate with engineers and architects to align platform capabilities with development standards and optimize performance, cost, and compliance.
Degree in Computer Science, Engineering, Information Systems, or related field.
Minimum 5 years of experience in platform engineering, DevOps, or SRE with strong automation and infrastructure engineering focus.
Hands-on experience with Azure cloud, Infrastructure-as-Code tools like Terraform/Bicep, CI/CD pipelines, Scala/Spark data platforms, and Databricks operations.
Experience with Power BI service administration is a plus; formal work experience or notice period not explicitly mentioned.
Experienced platform engineer with a strong focus on automation-first and Infrastructure-as-Code practices in cloud (Azure) environments.
Proficient in operating production-grade data platforms including Spark and Databricks with expertise in reliability engineering and observability.
Able to collaborate globally with software engineers, ML engineers, and architects to implement scalable, compliant, and optimized data platform solutions.