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
Lead Software Engineer
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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Role Overview
This is a hands-on Lead Engineer role focused on building backend and full-stack capabilities for Mastercard's next-generation Decision Management Platform, the real-time system that helps score and approve billions of payment transactions.
You will own technical areas end to end, write code, shape architecture, mentor engineers, and turn ambiguous goals into reliable services, APIs, workflow tools, and user-facing experiences.
Key Responsibilities
• Own meaningful backend and full-stack capabilities from problem definition through design, implementation, testing, deployment, and production support. • Design and build scalable services, APIs, workflow tooling, frontend experiences, and integrations. • Set technical direction, make pragmatic architecture decisions, and align engineers around maintainable solutions. • Use design reviews, code reviews, and hands-on coaching to raise engineering quality and reduce complexity. • Write code, build prototypes, and use AI coding tools to improve speed, quality, and team effectiveness. • Work closely with product, engineering, and senior stakeholders to turn ambiguous goals into working software and measurable outcomes.
What We're Looking For
• You lead through delivery. You have shipped meaningful backend, full-stack, or product-facing capabilities in complex production systems. • You think end to end. You connect user experience, APIs, backend design, data flows, operations, and business outcomes. • You influence by doing the work. You guide technical direction through judgment, clear communication, and hands-on credibility. • You care about quality. Testing, observability, security, clean interfaces, and maintainability are part of how you build. • You are adaptable. You are comfortable with ambiguity, changing priorities, and small, fast-moving teams.
Relevant Experience • You do not need experience in every area, but should bring strong hands-on depth in several of the following: • Backend services, API design, service integration, and domain modeling. • Full-stack applications, workflow tooling, dashboards, authoring tools, or operational interfaces. • High-throughput, low-latency, event-driven, or distributed systems. • Decisioning, rules, data, feature platforms, or real-time transaction processing. • AI/ML systems, low-latency inference, or LLM-enabled product experiences. • AI-assisted development and agentic harnesses
Requirements
• Strong hands-on software engineering experience building backend services, APIs, full-stack applications, or complex production systems. • Experience owning technical areas end to end, including design, implementation, testing, deployment, and production support. • Strong fundamentals in software design, architecture, API design, data modeling, testing, code review, secure coding, performance, and troubleshooting. • Experience mentoring engineers and influencing technical direction through design reviews, code reviews, and clear communication. • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
Salary Ranges
Arlington: 161,000 - 266,000 USD
Atlanta: 140,00 - 231,00 USD
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
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.
Skills Required
- Strong software development experience with ownership of complex systems or shared platforms
- Hands-on experience designing and building distributed systems with high throughput and low latency
- Strong fundamentals in software design, architecture, data structures, testing, secure coding, performance, and troubleshooting
- Experience building and operating cloud-native systems with strong observability and automation practices
- Experience mentoring engineers and influencing technical direction across teams
- Use of AI coding tools as part of day-to-day development and ability to coach others on their use
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience
- Experience with AI/ML systems (model training, deployment, low-latency inference, model monitoring)
- Hands-on experience with decisioning data domains: lakehouses, delta lakes, feature platforms, distributed logs
Mastercard Compensation & Benefits Highlights
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Retirement Support — A 10% company retirement match (401k or equivalent) is explicitly highlighted in company materials. This level of employer contribution stands out as a core strength of the package.
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Leave & Time Off Breadth — A global minimum of 16 weeks fully paid new‑parent leave and generous U.S. PTO (vacation, personal days, holidays, sick time, and bereavement) are clearly spelled out. These provisions indicate broad time‑off coverage across life events.
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Wellbeing & Lifestyle Benefits — Hybrid work, a four‑week “work from elsewhere” option, meeting‑free well‑being days, five paid volunteer days, mental‑health resources, and fitness reimbursement/on‑site gyms are emphasized. Together they reflect a holistic approach to flexibility and wellbeing.
Mastercard Insights
What We Do
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.
Why Work With Us
We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.
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Mastercard Teams
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.






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