Senior MongoDB Database Engineer
Fiserv•Columbus, OH
•$128,000 - $216,000•Onsite
About The Position
As a Senior MongoDB Database Engineer, you will be responsible for designing, optimizing, and operating high-throughput, low-latency MongoDB platforms 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 sharded environments under heavy production load.
Requirements
- 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
Nice To Haves
- Prior experience in the financial services industry
- Experience with database migration projects
- Prior exposure to microservices architectures, distributed systems, or streaming platforms
- Knowledge of complex technologies, tools, methodologies, the enterprise architecture, and emerging technologies in the industry
- Understanding of the relationship between information technology, business practices, consumer markets and industry and be able to apply that knowledge to support the needs of critical systems and projects
Responsibilities
- 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
Benefits
- annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards
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What This Job Offers
Job Type
Full-time
Career Level
Senior
