Senior MongoDB Database Engineer

Fiserv

Senior MongoDB Database Engineer at Fiserv optimizing and operating high-throughput MongoDB platforms. Leading performance optimization and architecting resilient environments for mission-critical workloads.

Posted 7/2/2026full-timeBerkeley Heights • New Jersey, New York, Ohio • 🇺🇸 United StatesSenior💰 $128,000 - $216,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in MongoDB performance optimization, including query tuning, index design, and sharding strategies, while ensuring high availability and resilience in large-scale production environments. Proficient in automating database operations and collaborating with application teams on data modeling and performance best practices.

Highest-signal resume keywords

MongoDB Performance OptimizationSharding And Replication InternalsPython AutomationCloud Technologies (Google Cloud, Azure)Large-Scale Production Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

MongoDBQuery TuningIndex DesignData ModelingSharded ClustersCross-Shard Query EfficiencyDisaster RecoveryFailover StrategiesPerformance Best PracticesExecution Plan Analysis

Tools & Technologies

PythonPowershellRedHat LinuxMac OSIISActive Directory

Industry Keywords

Distributed Architecture DesignHigh AvailabilityMulti-Region DeploymentsDatabase Operations Automation24x7 On Call Support

Tech Stack

Tools & technologies

AzureCloudLinuxMongoDBPythonShell Scripting

About the role

Key responsibilities & impact

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 sharded clusters using range-based and hash-based strategies
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 deployments) with a focus on availability and resilience
Implement and maintain high availability, disaster recovery, and failover strategies across regions
Automate database operations, monitoring, and maintenance tasks using Python or shell scripting
Partner with application teams on data modeling, query design, and performance best practices
Participate in 24x7 on call Support

Requirements

What you’ll need

6+ years of experience as a MongoDB Engineer or DBA in large-scale production environments
6+ years of experience in MongoDB sharding, replication internals, and distributed architecture design
2+ years of experience with Python, Powershell, RedHat Linux, Mac OS, IIS, and Active Directory
2+ years with cloud technologies such as Google Cloud and Azure
Bachelor’s degree in computer science, or a relevant field, or an equivalent combination of education, work, or military experience

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Professional development opportunities
Remote work options
Annual incentive opportunity (mix of cash bonus and equity awards)