Mastercard is Hiring for Software Test Engineer

About the job

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, far and wide by making deals safe, simple, smart and accessible. Using secure data and networks, alliances and passion, our inventions and results help individualities, financial institutions, governments and businesses realize their topmost eventuality. Our decency quotient, or DQ, drives our culture and everything we do outdoors and outside of our company. We cultivate a culture of addition for all workers that respects their individual strengths, views, and exploits. We believe that our differences enable us to be a better team – one that makes better opinions, drives invention and delivers better business results.

Job Title

Software Test Engineer


Brighterion, a Mastercard company, was innovated in 2000 and acquired by Mastercard in 2017. We deliver a leading artificial intelligence and machine literacy platform that provides real- time charge critical intelligence from any data source, anyhow of type, complexity or volume. Our AI result secures billions of deals yearly and is used and trusted by numerous of the world’s commanding associations and governments in payments, compliance, fiscal requests, security and defense, healthcare, Internet of effects, marketing and further. presently we serve74/100 of the largest U.S. banks and further than,000 guests worldwide, recycling further than 100 billion deals annually.

All About You

  • Dissect conditions, develop, and execute test cases for Brighterion’s suite of products including pall and on- prem results and give detailed testing reports.
  • Expert robotization experience in JavaScript- grounded operations
  • Strong knowledge of API robotization
  • Knowledge in Unix, Linux, and Windows Scripting knowledge (Bash, Perl, Python)
  • Experience with at least one object- acquainted language similar as Java, C
  • Strong experience in AWS services similar as EC2, S3, Elasticsearch, Redis, API Gateway, ECS, Kafka, CloudWatch
  • Exposure to common pall service unity and deployment technology like Kubernetes and Docker Intermediate
  • knowledge of SQL (Oracle, Postgres, SQL Garçon) Keen interest in fraud discovery and security.
  • Maids in Computer Science or affiliated field


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