Company
MasterCard
Description
Our Purpose
- Architecting and operating mission critical, high volume, low latency services onto elastic infrastructure ranging from public cloud to private datacenters
- Integrating AI, Business Rules and in-memory Distributed Grid technologies to produce the high performance and flexible decisioning systems required to protect Mastercard customers and offer them the best possible payment experience
- Real-time data streaming tools such as Kafka, Flink, NIFI, AWS Kinesis, Azure Stream Analytics
- Architecting high performance application data services against data stores with very large amounts of data
- Points of failure analysis and architect ‘always-on’ solutions by building resiliency architecture allowing seamless failovers between availability zones.
- Engaging with engineers at all levels across the engineering organization to promote standard software patterns and reuse of common libraries and services.
- Passionate about solving complex performance and availability problems
- A wide breadth and depth of technical experience including Java, Linux, and Oracle
- Performance tools such as LoadRunner, JMeter, Gatling, Dynatrace, software profilers, Splunk, etc.
- Capacity modeling/planning processes and tools
- Strong verbal and written communication skills with the ability to communicate to an
- Abide by Mastercard’s security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Identifier
099d5f538bb30f36fa6faf4ebd4b0ef0
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Ready to join the team? We'd love to have you!