Weekday AI
AI
MongoDBDatabaseEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“MongoDB Database Engineer at Weekday AI. Skills: MongoDB Administration, Query Optimization, Indexing, Replica Sets, Sharding, Performance Tuning, Production Support. Manage, monitor, and maintain MongoDB databases across development, staging, and production environments. Design and implement scalable MongoDB architectures using Replica Sets and Sharding”
What You'll Achieve.
ensuring database reliability, scalability, availability, and performance across production systems; data integrity; scalability; operational stability
Industry & Context.
analytical and problem-solving skills; solving complex database and scalability challenges
What They're Looking For.
Must Have
MongoDB Administration, Query Optimization, Performance Tuning, Indexing strategies, execution plans, large-scale production databases, troubleshooting, Production Support capabilities, backup and recovery processes, Linux-based environments, database monitoring tools
Nice to Have
MongoDB Aggregation Pipeline, Sharding implementation, cluster management, Replica Set configuration, maintenance, Automation scripting using Shell, Python, or Bash, cloud platforms such as AWS, Azure, or GCP, DevOps, CI/CD practices, warehousing, logistics, industrial automation, enterprise platforms
What You'll Do.
and maintain MongoDB databases across development
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
optimize execution plans
and recommend schema improvements
Configure and manage MongoDB clusters for high availability and disaster recovery
Handle Production Support activities including troubleshooting
and performance bottlenecks
Monitor database health
and system performance metrics
and security best practices for MongoDB deployments
Develop automation scripts and tools for monitoring
and maintenance tasks
Support database migration
and capacity planning activities
Ensure data integrity
and operational stability in large-scale production environments
How You'll Work.
Team & Collaboration
Collaborate with application developers, DevOps teams, and solution architects to ensure optimal database design and integration
Communication Scope
Excellent communication and collaboration skills
Full Job 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 a
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