Senior Site Reliability Engineer, Performance Engineering
About The Position
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. 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.
Requirements
- 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 financial applications.
- Experience analyzing performance bottlenecks across application code, databases, cache layers, data stores, servers, networks, messaging queues, and streaming platforms.
- Experience analyzing issues holistically, from edge components through application tiers and databases.
- Experience working directly with internal customers, resolving issues and providing performance engineering leadership.
- Working knowledge of AI-assisted development and analysis techniques, including prompt-driven script generation, automation workflow creation, test result summarization, and root cause analysis support.
Nice To Haves
- Experience with Java, Python, Scala, or other programming and scripting languages.
- Experience with Bitbucket, Maven, Jenkins, Gatling, and BlazeMeter.
- Experience migrating legacy on-premises testing suites to cloud-native stacks.
- Experience migrating performance testing suites from LoadRunner to Gatling or BlazeMeter.
- Strong software performance analysis, bottleneck identification, scaling, and automation experience.
- Experience using AI-enabled tools or large language models to generate, refactor, explain, or optimize performance testing scripts, automation utilities, and troubleshooting workflows.
- Experience applying AI-assisted analysis to performance metrics, logs, traces, dashboards, and incident data to identify patterns, summarize findings, and support faster remediation.
- Familiarity with responsible AI practices, including validation of AI-generated outputs, protection of sensitive data, and alignment with enterprise security and compliance expectations.
Responsibilities
- 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.
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- 16 weeks of new parent leave
- up to 20 days of bereavement leave
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time
- 5 personal days
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Senior
