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Mid-level, metro Bangalore platform role with broad, in-demand DevOps and data-platform skills increases applicant competition.
Requires specific data-platform and cloud infrastructure experience, but skills remain transferable across industries.
Explicit 5-7 years plus mandatory platform, Kubernetes, and IaC experience makes filters strict.
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Build, automate, and operate enterprise-scale data platforms using Databricks, Snowflake, Microsoft Fabric, Kubernetes, and cloud-native technologies.
Develop platform capabilities for self-service onboarding, provisioning, monitoring, and governance ensuring multi-environment support (Development, QA, Production).
Establish CI/CD pipelines, platform automation, observability, security controls, reliability engineering, and cost optimization across cloud environments.
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
5-7 years of experience in Platform Engineering, DevOps, Cloud Engineering, or Data Platform Operations.
Strong experience supporting Databricks, Snowflake, or Microsoft Fabric platforms and managing Kubernetes-based workloads in production.
Proficient with CI/CD, Infrastructure as Code (Terraform, Bicep, Helm), and cloud platforms (Microsoft Azure preferred, AWS/GCP exposure).
Experienced in enterprise data platform architecture and operational excellence with cloud-native and containerized environments.
Comfortable implementing platform security, governance, FinOps practices, and automation frameworks to reduce manual efforts.
Familiar with Agile and DevOps delivery models, with certifications like Databricks Data Engineer, SnowPro, CKA, or Terraform Associate as plus points.