# MongoDB Database Engineer

> Weekday AI · Mumbai, India · Full-time · Posted 2026-05-14

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of the Weekday's clients  
  
**Min Experience: 6 years

Location: Mumbai

JobType: full-time  
  
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

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/C62DE363E6/apply)

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