Senior Software Engineer

Senior Software Engineer

Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
Payments Network Technology is seeking a software engineer focused on performance, resilience, and chaos engineering for critical payment-network services. The role will establish test approaches, execute controlled experiments, and help teams improve capacity, recovery, and operational behavior.
Roles and Responsibilities
• Define performance, scalability, resilience, and chaos-testing strategies for services and platforms.
• Design and execute load, stress, endurance, failover, and controlled failure experiments.
• Analyze latency, throughput, resource consumption, bottlenecks, and recovery behavior.
• Partner with engineering and operations teams to define service-level objectives and production-readiness criteria.
• Automate performance and resilience tests and integrate them into delivery pipelines where practical.
• Document findings, prioritize risks, and track remediation to closure.
• Promote repeatable practices for capacity planning, observability, and failure-mode validation.
• Guide less-experienced team members and independently own complex work from analysis through production support.
Essential Skills
• Experience with performance engineering and tools such as JMeter, LoadRunner, Gatling, or equivalent.
• Hands-on experience with Java, Dynatrace, and Java Microbenchmark Harness (JMH) for application profiling, observability, benchmarking, and performance analysis.
• Knowledge of distributed systems, microservices, APIs, messaging, databases, cloud platforms, and observability.
• Experience with resiliency patterns, failover, capacity analysis, and controlled chaos experiments.
• Ability to interpret system metrics and communicate actionable findings.
• Bachelor's degree in computer science, information technology, engineering, or a related discipline, or equivalent practical experience.
All About You
• Experience working in Agile delivery environments and across the software development lifecycle.
• Clear communication, collaboration, problem-solving, and stakeholder-management skills.
• Ability to work with globally distributed product, engineering, architecture, operations, and business teams.
• Experience applying AI-driven product validation to improve efficiency, expand coverage, and identify defects earlier in the development lifecycle.
• Hands-on experience using AI-assisted engineering tools, including GitHub Copilot and Claude CLI, to improve engineering efficiency is required.
• Payments or financial-services domain knowledge is preferred.

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;


• Ensure the confidentiality and integrity of the information being accessed;


• Report any suspected information security violation or breach, and


• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.