MongoDB Engineer

Kavyos Consulting · Berkeley Heights, New Jersey

FULL TIME

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

What you'll do Lead end-to-end MongoDB performance optimization including query tuning, execution plan analysis and index design

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

Experience you'll need to have 8+ years of experience as a MongoDB engineer or DBA in large-scale production environments

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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MongoDB Engineer

Job Description