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Weekday, Inc.

MongoDB Database Engineer

Posted Yesterday
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In-Office
Mumbai, Maharashtra
Senior level
In-Office
Mumbai, Maharashtra
Senior level
Design, manage, and optimize large-scale MongoDB deployments including replica sets and sharding. Provide production support, performance tuning, query optimization, backup/recovery, monitoring, automation scripting, migrations, and collaborate with developers and DevOps to ensure database reliability, scalability, and availability.
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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.


RequirementsKey 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 SkillsMust-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

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