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Mid-level Bangalore role with metro and mid-career amplifiers but niche NoSQL specialization.
Role requires specialized NoSQL and cloud database expertise, limiting cross-industry transferability.
Explicit 5–8 years plus mandatory Cosmos DB and MongoDB production experience increases shortlisting strictness.
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Design and implement distributed data models and architecture using Azure Cosmos DB and MongoDB for large-scale, high-throughput cloud-native applications.
Optimize database performance through query analysis, indexing, RU/cost optimization, and implement automation scripts for deployment and monitoring.
Collaborate with development and DevOps teams on API integration, infrastructure as code, performance reviews, and disaster recovery strategies.
5–8 years experience in database engineering, architecture, or backend data systems.
3+ years hands-on production experience with Azure Cosmos DB and MongoDB.
Bachelor's degree in Engineering, Computer Science, or equivalent.
Strong knowledge of distributed systems, NoSQL principles, Cosmos DB (partition key design, RU/s provisioning, indexing, consistency models, multi-region replication), and MongoDB (replica sets, sharding, indexing, aggregation).
Experienced in designing scalable, multi-tenant SaaS distributed databases across Cosmos DB and MongoDB with focus on performance and automation.
Proficient in scripting languages (Python, PowerShell, Bash) and Infrastructure as Code tools (Terraform, Bicep, ARM) to support deployment and monitoring.
Familiar with cloud-native architectures, data migration, data lifecycle management, and collaborating cross-functionally with DevOps and development teams.