Job Description
As a Senior MongoDB Database engineer, you will be responsible for designing, optimizing, and operating high-throughput, low-latency MongoDB platform supporting mission-critical workloads at enterprise scale. You will bring hands-on experience with multi-terabyte to petabyte-scale clusters and architect resilient, high-performing shaded environments under heavy production load
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What you'll doLead end-to-end MongoDB performance optimization including query tuning, execution plan analysis and index design
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- Design and implement scalable data models optimized for high read/write throughput and low latency
- Architect and operate large-scale shared clusters using range-based and hash-based stratergies
- Optimize shard key selection, chunk distribution, and balancing to prevent hotspots and improve performance
- Manage cross-shard query efficiency and reduce scatter-gather impact across distributed workloads
- Support large production environments (hundreds of nodes, multi region-deployment) with focus on avaibality and resilience
- Implement and maintain high availability, disaster recovery, and failover strategies across regions
- Automate database operations, monitoring, and maintenance tasks using python and shell scripting
- Partner with application teams on data modeling, query design and performance best practices
- Participate in 24x7 on call support by working regional teams
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Experience you'll need to have 8+ years of experience as a MongoDB engineer or DBA in large-scale production environments
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- 8+ years of experience in MongoDB sharding, replication internals and distributed architecture design
- 4+ years of automation experience working with Python, Shell, RedHat Linux
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