Fiserv is a global fintech and payments company with solutions for banking, global commerce, merchant acquiring, billing and payments, and point-of-sale.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
- Prior experience in the financial services industry
More about this role
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.
Senior MongoDB Database Engineer
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.
- 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
-...
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