About MasterCard

Mastercard Inc. (stylized as MasterCard from 1979 to 2016, mastercard from 2016 to 2019) is the second-largest payment-processing corporation worldwide. It offers a range of payment transaction processing and other related-payment services (such as travel-related payments and bookings). Its headquarters are in Purchase, New York.[3] Throughout the world, its principal business is to process payments between the banks of merchants and the card-issuing banks or credit unions of the purchasers who use the Mastercard-brand debit, credit and prepaid cards to make purchases. Mastercard has been publicly traded since 2006.

Responsibilities of the Candidate:

Serve as the primary contact responsible for ensuring application scalability, performance, and resilience

Practice sustainable incident response and blameless post-mortems while taking a holistic approach to problem solving and optimizing time to recover

Automate data-driven alerts to proactively escalate issues

Work with development teams to establish SLOs and improve reliability

Requirements:

Bachelor’s degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience

Coding or scripting exposure

Appetite for change and pushing the boundaries of what can be done with automation

Be curious about new technology, infrastructure, and practices to scale our architecture and prepare for future growth

Experience with algorithms, data structures, scripting, pipeline management, and software design

Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive

Interest in designing, analysing, and troubleshooting large-scale distributed systems

Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team

Ability to balance doing things right with fixing things quickly

Flexible and pragmatic, while working towards improving the long-term health of the system

Comfortable collaborating with cross-functional teams to ensure that expected system behaviour is understood and monitoring exists to detect anomalies

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