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Kadel Labs

Posted 28 Sep 2026

SSE-MongoDB

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Employment
Full time
Posted
28 Sep 2026

About the role

About the Role

We are looking for a skilled MongoDB Developer with strong experience in designing, optimizing, and implementing document-based data solutions. The ideal candidate should have hands-on expertise in MongoDB data modeling, query optimization, performance tuning, and integrating MongoDB with .NET/C# applications. This role involves building scalable, secure, and high-performance data systems to support enterprise-grade applications.

 

Key Responsibilities

  • Design efficient, scalable, and flexible MongoDB schemas using best practices for normalization and denormalization.
  • Implement CRUD operations, including advanced querying, filtering, sorting, pagination, and bulk operations.
  • Build and optimize indexes, analyze query performance, and interpret execution plans for performance tuning.
  • Develop data access layers and integrations using MongoDB .NET/C# drivers.
  • Implement upserts, replacements, aggregation pipelines, and data transformation workflows.
  • Work with MongoDB Atlas, including replication, sharding configurations, and deployment tuning.
  • Manage data lifecycle strategies: hot/warm/cold storage tiers, TTL indexes, and archival mechanisms.
  • Implement backup/restore routines, monitoring, and alerting using Atlas or Ops Manager.
  • Work with change streams for real-time event-driven data pipelines.
  • Ensure security best practices including authentication, authorization, auditing, and compliance.
  • Collaborate with backend teams to build scalable APIs and microservices leveraging MongoDB.
  • Utilize full-text search, Lucene, or vector search for enhanced query capabilities.

Technical Skills Required

Core MongoDB Skills

  • Strong understanding of documents, collections, BSON, and object mapping.
  • Proficiency in:
    • CRUD operations
    • Aggregation pipelines
    • Indexing & query optimization
    • Upserts / replacements

Architecture & Performance

  • Schema design principles for large-scale document databases
  • Performance tuning using query explain plans
  • Replication & sharding
  • High availability and disaster recovery

Tools & Integrations

  • MongoDB Atlas / Ops Manager
  • .NET / C# MongoDB driver
  • Monitoring & alerting frameworks
  • Experience with data backups, restores, automation

Additional Skills

  • Experience with search technologies (Lucene, full-text search, vector search, semantic search)
  • Familiarity with cloud environments and distributed data patterns

 



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