SSE-MongoDB

Zoho; Udaipur District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Kadel Labs – Startup Studio in India is seeking a skilled MongoDB Developer to design, optimize, and implement document-based data solutions for enterprise-grade applications.

You will build scalable MongoDB schemas, implement CRUD, indexing, replication and sharding setups, and work with .NET/C# drivers to deliver robust data services. Strong focus on performance tuning, security, and real-time data pipelines is required.

Qualifications

• Strong experience designing document-based data solutions with MongoDB.
• Hands-on data modeling, CRUD, indexing, and performance tuning.
• Experience integrating MongoDB with .NET/C# applications and building scalable APIs.

Responsibilities

• Design efficient, scalable MongoDB schemas and data models.
• Implement CRUD operations with advanced querying, filtering, and pagination.
• Build and optimize indexes and analyze execution plans for performance tuning.
• Develop data access layers using MongoDB .NET/C# drivers.
• Implement upserts, replacements, aggregations, and data transformations.
• Work with MongoDB Atlas including replication, sharding, and deployment tuning.
• Manage data lifecycle: TTL, hot/warm/cold storage, archival.

Skills

MongoDB schemas

Indexing & query optimization

MongoDB .NET/C# drivers

Data modeling

Change streams

Security best practices

API/microservices integration

Full-text search / vector search

Tools

MongoDB Atlas

Ops Manager

Lucene / full-text search

Job description

At Kadel Labs – Startup Studio we built an ecosystem for early-stage founders to help them take their ideas to the next level. The ecosystem consists of in-house product teams, engineers, designers, data scientists, sales & marketing teams, legal experts, taxation, finance and operation heads. We aim to build a cohesive ecosystem, so that your startup runs as a full-fledged business from day 1!

Job Description

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
  
• Upserts / replacements
  
• Replication & sharding
  
• High availability and disaster recovery
  

Tools & Integrations

• 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