Back
Medium — metro location, mid-level experience and visible role increase competition despite specialized NoSQL skills.
Medium — core NoSQL and cloud skills transfer across industries, but Cosmos DB and compliance experience increases domain specificity.
High — explicit 5–8 years plus mandatory Cosmos DB/MongoDB production experience and specific database architecture requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and architecture of distributed data models using Azure Cosmos DB and MongoDB for high-throughput, large-scale cloud-native applications.
Own performance engineering including query analysis, index optimization, and cost management for multi-tenant SaaS databases.
Develop automation for deployment, monitoring, and scaling; implement data lifecycle and disaster recovery strategies in collaboration with global teams.
5–8 years of experience in database engineering or backend data systems.
At least 3 years hands-on managing Azure Cosmos DB and MongoDB in production environments.
Bachelor's degree in Engineering, Computer Science, or equivalent.
Proven knowledge of distributed systems, NoSQL design, Cosmos DB partitioning, replication, and MongoDB sharding and indexing.
Experienced in architecting scalable, multi-region, and multi-tenant NoSQL solutions in cloud environments with a focus on performance and automation.
Comfortable collaborating with development, DevOps, and global teams on integration, infrastructure as code, and operational practices.
Prior exposure to backend stacks (.NET, Java, Node.js), scripting (Python, PowerShell, Bash), and tooling for monitoring and CI/CD pipelines is advantageous.