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Mid-level metro role with niche Cosmos DB/MongoDB requirements reduces but retains moderate applicant density.
Core NoSQL database and cloud engineering skills are broadly transferable across industries.
Explicit 5–8 years requirement plus mandatory Cosmos DB/MongoDB production experience creates strict filtering.
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Design, architect, and optimize distributed document-based databases using Azure Cosmos DB and MongoDB for large-scale, high-throughput cloud-native applications.
Develop automation scripts for deployment, monitoring, and scaling; manage database performance including query profiling, RU/cost optimization, and index tuning.
Collaborate with development and DevOps teams on data access layers, API integrations, infrastructure as code, and participate in system design and code reviews.
5–8 years experience in database engineering, architecture, or backend data systems.
3+ years hands-on production experience managing Azure Cosmos DB and MongoDB.
Bachelor's degree in Engineering, Computer Science, or equivalent.
Deep expertise in distributed systems, NoSQL principles, Cosmos DB partitioning, indexing, consistency, TTL, replication, and MongoDB replica sets, sharding, indexing, aggregation pipelines, and schema optimization.
Experienced in large-scale, multi-tenant SaaS database design focusing on concurrency, low latency, and scalability.
Skilled in automation scripting (Python, PowerShell, Bash) and infrastructure as code tools (Terraform, Bicep, ARM templates) for operational efficiency.
Capable of collaborating across globally distributed teams, driving system performance improvements and integrating databases with frontend and backend services.