Senior Site Reliability Engineer, Performance Engineering

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 Site Reliability Engineer, Performance Engineering
Senior Site Reliability Engineer, Performance Engineering
Payment Optimization unifies multiple Mastercard capabilities to improve transaction success, reduce avoidable declines, and simplify issuer, acquirer, and merchant interactions across the payment lifecycle. The program centralizes account update orchestration and lifecycle management, leverages AI-driven optimization intelligence, and executes time-critical optimization actions while maintaining clear domain ownership and scalable boundaries.
We build products for scale. The SRE & Performance Engineering team is looking for a strong, innovative engineer to help optimize and scale our suite of services.
This role supports Automatic Billing Updater (ABU), which securely provides participating issuers’ updated cardholder account information—such as account number and expiration date—to ABU-registered merchants. ABU helps reduce preventable card-not-present transaction declines by keeping credential-on-file and recurring payment information current throughout the issuer-cardholder relationship.
In this role, you will apply your experience in API performance testing, automation, scripting, data setup, AI-assisted script generation, bottleneck discovery, performance tuning, and performance data analysis. You will contribute to capacity planning, platform resiliency, and automation practices that improve engineering velocity and operational quality.
Role

• Partner with site reliability engineers and performance engineers to test and tune ABU services before production release through automated test suites, system design consulting, bottleneck analysis, chaos testing, capacity planning, and launch reviews.

• Build, manage, and maintain robust performance testing suites.

• Measure and monitor availability, latency, throughput, performance, and overall system health; communicate test results and recommendations clearly.

• Scale systems sustainably through automation and recommend changes that improve reliability, velocity, and performance.

• Review production incidents, identify contributing factors, and drive solutions that reduce recurrence.

• Manage project priorities, deadlines, and deliverables independently.

• Approach work with an automation mindset and automate repeatable tasks wherever practical.

• Apply deep technical expertise to coach and mentor technical talent.
All About You

• Use AI-assisted engineering tools to accelerate performance test script generation, test data preparation, log analysis, anomaly detection, and repetitive automation while validating outputs through sound engineering review.

• Apply data-driven analysis, observability insights, and automation patterns to identify performance trends, isolate bottlenecks, and recommend measurable improvements to scalability and reliability.
Education (preferred):
Bachelor’s degree in Computer Science, Computer Systems, Information Technology, or a related field, or equivalent practical experience.
Minimum:

• Advanced knowledge of web applications and distributed systems infrastructure.

• Excellent verbal and written communication skills for audiences with varying levels of technical acumen.

• Experience with performance bottleneck analysis and system design for scale.

• Experience with Java Virtual Machine internals and garbage collection tuning.

• Experience with one or more of the following: database internals, server or operating system internals, storage system internals, or performance scaling for related platforms.

• Experience implementing automated performance regression test suites for low-latency, high-throughput…