MongoDB Database Engineer at Weekday AI

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MongoDB Administration, Query Optimization, Performance Tuning, Indexing, Replica Sets, Sharding, Production Support, Linux, Backup and Recovery, MongoDB Aggregation Pipeline, Shell Scripting, Python, Bash, AWS, Azure, GCP

Industry

technology;Information and Internet

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. 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 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

Responsibilities

Manage and maintain MongoDB databases across development, staging, and production environments to ensure reliability and scalability. Design scalable architectures and perform advanced query optimization to improve system performance.