Senior BizOps Engineer, Data Analytics

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior BizOps Engineer, Data Analytics

Who is Mastercard?

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results.


About the Role

The Mastercard Authorization Platform is an international message processing system that serves all Mastercard principals, affiliates, and associations: large and small, automated and non-automated. The Authorization Platform transmits authorization validation data among issuers, acquirers, and points of interaction.

The Authorization Platform refers to both hardware (the physical communications lines of the Mastercard Network and Mastercard interface processors [MIPs]) and software (the Mastercard Network authorization application).


Role

Serve as the primary contact responsible for the overall health, performance, and capacity of Mastercard applications.

Support services before they go live through activities such as system design consulting, capacity planning, and launch reviews.

Partner with the development and product team of a new application to establish the right monitoring and alerting strategy and create the framework to achieve zero downtime during deployment.

Implement data-driven monitoring and alerting strategies to ensure application health and performance.

Design and manage ETL processes to ensure data is accurately and efficiently moved between systems.

Create dashboards and reports using tools like PowerBI to visualize application performance and capacity.

Perform operability and resilience design and implement and maintain highly reliable and scalable infrastructure.

Perform root cause analysis of incidents and collaborate with development teams to resolve issues.

Participate in on-call rotations and be available to respond to critical incidents.

Complete end-to-end run ownership of the product.

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.

Develop and maintain data pipelines to support real-time monitoring and alerting.

Analyze incident data to identify trends and improve system reliability.

Utilize predictive models to forecast potential issues and proactively address them.

Tackle complex development, automation, and business process problems. Engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation, and refinement.

Support the CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead Mastercard in DevOps automation and best practices.

Perform operational and resilience design and implement solutions for capacity planning and performance optimization.

Increase automation and tooling to reduce toil and manual intervention.

Build and maintain automated data pipelines to support CI/CD processes.

Utilize Python for scripting and automation tasks.

Implement and manage cloud-based solutions using AWS and Azure.

Analyze ITSM activities of the platform and provide feedback loop to development teams on operational gaps or resiliency concerns.

Generate reports on ITSM activities and provide insights for continuous improvement.

Use data analytics to identify operational gaps and areas for improvement.

May be required to particip