MongoDB Database Engineer

This role is for one of our clients
Industry: Industrial Autonomous Solutions

Seniority level: Mid Senior level

Min Experience: 6 years

Location: Mumbai

JobType: full-time

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are looking for an experienced and highly skilled MongoDB Database Engineer to join our growing technology team. The ideal candidate will have strong hands-on expertise in MongoDB Administration, Query Optimization, Indexing, Replica Sets, Sharding, Performance Tuning, and Production Support for large-scale enterprise systems. This role is best suited for professionals who thrive in high-performance environments and enjoy solving complex database and scalability challenges.

Our company builds intelligent automation solutions for large-scale industrial and warehousing environments. As part of our engineering team, you will work on mission-critical systems that process high volumes of operational and transactional data across distributed environments. You will play a key role in ensuring database reliability, scalability, availability, and performance across production systems.

Requirements
Key Responsibilities

• Manage, monitor, and maintain MongoDB databases across development, staging, and production environments
• Design and implement scalable MongoDB architectures using Replica Sets and Sharding
• Perform advanced Query Optimization and Indexing to improve application performance and database efficiency
• Analyze slow queries, optimize execution plans, and recommend schema improvements
• Configure and manage MongoDB clusters for high availability and disaster recovery
• Handle Production Support activities including troubleshooting, incident resolution, root cause analysis, and performance bottlenecks
• Monitor database health, storage utilization, replication lag, and system performance metrics
• Implement backup, recovery, and security best practices for MongoDB deployments
• Collaborate with application developers, DevOps teams, and solution architects to ensure optimal database design and integration
• Develop automation scripts and tools for monitoring, deployment, and maintenance tasks
• Support database migration, upgrades, patching, and capacity planning activities
• Ensure data integrity, scalability, and operational stability in large-scale production environments
  
  
  
  

Required Skills
Must-Have Skills

• Strong expertise in MongoDB Administration
• Hands-on experience in Query Optimization and Performance Tuning
• Deep understanding of Indexing strategies and execution plans
• Experience managing large-scale production databases
• Strong troubleshooting and Production Support capabilities
• Knowledge of backup and recovery processes
• Experience with Linux-based environments and database monitoring tools
  
  
  
  

Good-to-Have Skills

• MongoDB Aggregation Pipeline
• Sharding implementation and cluster management
• Replica Set configuration and maintenance
• Automation scripting using Shell, Python, or Bash
• Exposure to cloud platforms such as AWS, Azure, or GCP
• Understanding of DevOps and CI/CD practices
  
  
  
  

Desired Candidate Profile

• Experience: 6 - 22 years
• Proven experience working with high-volume, enterprise-grade MongoDB environments
• Strong analytical and problem-solving skills
• Ability to work independently and manage critical production issues
• Excellent communication and collaboration skills
• Experience in warehousing, logistics, industrial automation, or enterprise platforms will be an added advantage