SSE-MongoDB

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