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
Experience you'll need to have:
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
Experience that would be great to have:
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
How you'll work:
Fiserv emphasizes in-person collaboration to help you grow your career while shaping the future of fintech, this role is on-site Monday through Friday
This role requires being on-call during non-standard and/or overnight hours on a rotational basis
This role requires flexibility to work overtime that includes weekends and holidays
This role requires use of a computer and audio equipment
Travel:
Approximately 0-5% travel off-site or to other office locations is expected
Salary Range
$128,000.00 - $216,000.00
These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.
Thank you for considering employment with Fiserv. Please:
Apply using your legal name
Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
Our commitment to Equal Opportunity:
Note to agencies:
Fiserv d
Benefits
Equity / stock optionsPerformance bonus
Additional Information
Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Senior MongoDB Database Engineer
About your role:
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.
Fiserv · Berkeley Heights, NJ