Senior MongoDB Database Engineer

Fiserv•Frisco, TX

1d•Onsite

About The Position

As a Senior MongoDB Database Engineer, you will design, optimize, and operate high-throughput, low-latency MongoDB platforms supporting mission-critical workloads at enterprise scale. The role calls for hands-on experience with multi-terabyte to petabyte-scale clusters and the ability to architect resilient, high-performing sharded environments under heavy production load. This is an on-site role Monday through Friday, with rotational on-call support during non-standard and/or overnight hours. Flexibility to work overtime, including weekends and holidays, is required. Approximately 0–5% off-site or inter-office travel is expected. The role is not eligible to be performed in Colorado, California, the District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island, Vermont, Virginia, Maine, or Washington.

Requirements

At least 6 years of experience as a MongoDB Engineer or DBA in large-scale production environments.
At least 6 years of experience in MongoDB sharding, replication internals, and distributed architecture design.
At least 2 years of experience with Python, PowerShell, Red Hat Linux, Mac OS, IIS, and Active Directory.
At least 2 years of experience 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.
Ability to work on-site Monday through Friday.
Availability for rotational on-call during non-standard and/or overnight hours.
Flexibility to work overtime, including weekends and holidays.

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, enterprise architecture, and emerging technologies in the industry.
Understanding of the relationship between information technology, business practices, consumer markets, and industry, and ability to apply that knowledge to support 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, including hundreds of nodes and 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.