Mastercard

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About

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Open Positions (7)

Principal Software Engineer, Data Architecture

O'Fallon, Missouri; Arlington, Virginia; New York City, New York Posted 24 days ago

$170000 - $281000

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

Principal Software Engineer, Data Architecture

Overview:
Mastercard’s Data & Analytics organization is seeking a visionary Principal Software Engineer, Data Architecture to shape and evolve our global enterprise data architecture. Reporting to the SVP, this role serves as the senior technical authority defining how data is designed, governed, secured, and distributed across Mastercard’s complex, global ecosystem.
You will set the architectural vision for modernizing data platforms across a hybrid cloud and on premises environment, supporting both high throughput batch processing and low latency, real time use cases. Your leadership will enable Mastercard’s “edge everywhere, run anywhere” strategy, allowing products and platforms to deploy data workloads consistently, securely, and at scale across our worldwide footprint.
This role combines deep hands on technical expertise with enterprise influence, enabling Mastercard to unlock the full value of its data while meeting stringent regulatory, resiliency, and performance requirements.

Role:
• Serve as the foundational technical leader for enterprise data architecture, partnering closely with the SVP and senior technology leadership.
• Act as a trusted advisor to C suite and executive stakeholders, translating business strategy into scalable data architecture decisions.
• Define and evolve the global data architecture roadmap across hybrid (cloud + on prem) environments.
• Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements.
• Champion Data Mesh principles, treating data as a product with federated ownership, governance, and self service enablement.
• Establish organization wide architecture standards and development best practices through the Data & Analytics Architecture Review Board.
• Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP.
• Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms.
• Enable both real time and batch analytics use cases to support high availability, mission critical workloads.
• Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking.

All About You:
• Proven experience operating as a Principal Engineer or equivalent, leading enterprise scale data architecture or platform strategy.
• Deep expertise designing, building, and operating distributed data systems at global scale.
• Hands on experience with technologies such as Apache Spark, Kafka, Flink, and NiFi.
• Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP.
• Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce.
• Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments.
• Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders.
• Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders.
• Strong executive presence with the ability to translate complex architecture concepts into business language.
• Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non technical audiences.
• Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.

LI-NF1

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

O'Fallon, Missouri: $170,000 - $281,000 USD

Arlington, Virginia: $196,000 - $323,000 USD

New York City, New York: $204,000 - $337,000 USD

Senior Software Engineer

Arlington, Virginia, United States of America Posted 25 days ago

$132000 - $212000

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 Software Engineer

Overview:
Mastercard’s Portfolio Intelligence team, part of the Services organization, is seeking a Senior Software Engineer to help build high-performance analytics platforms that enable businesses around the world to unlock greater value from their data.
In this role, you will leverage your full-stack development expertise to design, build, deploy, and scale real-time, interactive applications used by thousands of clients globally. These applications empower users to benchmark portfolio performance, monitor key performance indicators, and generate actionable dashboards and reports using Mastercard’s rich data assets.
Our next generation platform blends industry-leading analytics, advanced software architecture, and the latest web technologies. You will play a vital role within a rapidly growing organization, while working closely with experienced and driven engineers to solve challenging problems.

Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. We take an agile approach to software development and practice continuous integration and delivery. The range of work that a team will encounter varies from front-end web development to writing server-side calculation code to database work. We prefer no rigid organizational structures; each team uses processes that work the best for its members and projects. You will be working closely with our US teams based in Arlington, VA, New York City, NY, and Pune, India.
This is a hybrid position based in Arlington, VA, requiring three days per week onsite.

Role:
• Design and develop scalable, service-oriented software architectures supporting analytics-driven applications.
• Produce well-structured, maintainable code using modern design patterns and principles that ensure separation of concerns.
• Lead technical planning, feature scoping, and implementation efforts for the development team.
• Create cutting-edge algorithms and analytical techniques that can handle on-the-fly processing across hundreds of dimensions.
• Drive the development of robust web applications and continuously enhance product capabilities.
• Leverage emerging technologies and innovative approaches to optimize performance across large-scale data environments.
• Collaborate cross-functionally to deliver scalable and resilient applications aligned with business needs.
• Apply expertise in computer science, mathematics, and statistics to address complex challenges faced by global organizations.
• Mentor team members and contribute to continuous improvement of development practices and code quality.
• Support deployment strategies and database optimization efforts for applications developed by the team.

All About You:
• Hands-on software engineering experience, with a strong background in full-stack development, building scalable, high-performance applications.
• Previous experience as a Senior Software Engineer or equivalent, demonstrating the ability to lead technical design, mentor team members, and deliver complex projects is preferred.
• Full-stack development expertise across UI, microservices architecture, and database technologies.
• Strong proficiency in Java, Spring Boot, React, and PostgreSQL; experience with Snowflake, GitHub CoPilot is a plus.
• Solid understanding of software design patterns, system architecture, data structures, and algorithms, with experience designing maintainable, resilient, and high-performance systems.
• Demonstrated ability to solve complex, real-world technical challenges and innovate with large-scale data sets.
• Proven ability to thrive in collaborative, Agile development environments, contributing to team planning, execution, and continuous improvement.
• Excellent written and verbal communication skills, with the ability to convey technical concepts to cross-functional teams and stakeholders.
• Strong problem-solving mindset, initiative, and creativity in approaching new challenges.
• Bachelor degree in Computer Science, Software Engineering, Information Technology, Mathematics, or a related field. Equivalent practical experience may also be considered.

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.

LI-NF1

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

Arlington, Virginia: $132,000 - $212,000 USD

Manager Software Engineering

Arlington, Virginia, United States of America Posted 25 days ago

$161000 - $266000

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

Manager Software Engineering

Overview:
Mastercard’s Graphite team, within the Business & Market Insights Platform Engineering (BMIPE) organization, is seeking a Manager Software Engineering passionate about developing talent and delivering scalable, high-quality frontend solutions across multiple teams and business lines.
The team’s core product is a design system that accelerates development and time-to-market by providing accessible, reusable, and flexible UI components.
In this role, you will operate as both a people leader (approximately 70%) and a hands-on technical leader (approximately 30%). You will mentor and grow engineers while actively contributing to architecture, code quality, and delivery. As a multiplier for the team, you will help drive technical excellence, anticipate challenges, and collaborate cross-functionally to deliver against sprint goals and long-term roadmap priorities.
The Graphite team focuses on building and evolving a comprehensive full-stack design system that enables teams across Mastercard to deliver modern, accessible, scalable, and high-performance front-end experiences. Our goal is to empower product teams to build consistent user interfaces quickly by providing reusable components, tooling, and clear development

This is a hybrid position based in Arlington, VA, requiring three days per week onsite.

Role:
• Lead the evolution of a scalable, themeable, and resilient design system, ensuring alignment across teams and anticipating future needs.
• Drive the development of reusable, composable, and accessible React components, contributing hands-on when needed.
• Act as a high-impact individual contributor when required, owning complex initiatives from concept through delivery.
• Provide technical leadership through code reviews, architectural guidance, and continuous improvement of engineering standards.
• Partner cross-functionally to gather requirements, clarify dependencies, and enable efficient execution.
• Shape and communicate a clear technical vision and roadmap, aligned with business goals and industry best practices.
• Guide engineers through ambiguity, ensuring successful delivery of large-scale initiatives.
• Mentor and develop team members, fostering a high-performing and collaborative engineering culture.
• Influence and improve team processes, driving efficiency and operational excellence.
• Manage and support engineers through regular 1:1s, feedback, performance management, and career development.

All About You:
• Proven experience as a Software Engineer with prior people management experience, including leading, mentoring, and developing engineering teams in a fast-paced environment.
• Demonstrated success managing performance, providing feedback, and supporting career growth for direct reports.
• Strong full-stack foundation with deep expertise in modern frontend development, particularly JavaScript/TypeScript and React.
• Passion for both writing high-quality code and building high-performing teams.
• Strong knowledge of modern frontend frameworks (e.g., React, Angular) and core web technologies.
• Experience with frontend tools and ecosystems such as TypeScript, CSS, npm, Storybook, and Figma.
• Familiarity with testing frameworks (e.g., Jest, Playwright, Cypress).
• Experience with or strong interest in design systems, design tokens, and component-based architectures.
• Understanding of accessibility standards (e.g., WCAG, ARIA) and inclusive design principles.
• Strong interest in UI/UX and improving both end-user and developer experiences.
• Ability to provide technical leadership through mentorship, collaboration, and thoughtful code review.
• Excellent communication skills, with the ability to convey complex ideas clearly to diverse audiences.
• Bachelor’s degree in a quantitative field such as Engineering, Mathematics, or related experience.

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.

LI-NF1

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

Arlington, Virginia: $161,000 - $266,000 USD

Director of Data Science (AdTech)

Remote; Purchase, New York; Boston, Massachusetts; Remote - New York; Austin, Texas; Arlington, Virginia Posted 25 days ago

$195000 - $323000

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

Director of Data Science (AdTech)

Overview:
The Director of Data Science, Commerce Media provides technical and strategic leadership for all data science, machine learning, and advanced analytics initiatives supporting the Commerce Media platform. This role owns the vision, execution, and evolution of data-driven decisioning across advertising products, including modeling, targeting, optimization, measurement, experimentation, and AI-powered insights.

This individual brings deep expertise in applied data science within the advertising ecosystem, a strong theoretical foundation in machine learning and statistical modeling, and a proven track record of leading cross-functional data science initiatives across engineering, product, business, and platform teams. The Director of Data Science translates complex business and marketplace problems into scalable, production-grade data science solutions that drive measurable impact.

The Role:
• Own the data science and machine learning strategy for Commerce Media, ensuring alignment with business objectives, platform capabilities, and long-term technical direction.
• Lead the design, development, and deployment of machine learning models and decisioning systems supporting advertising use cases such as targeting, bidding, ranking, forecasting, and attribution.
• Serve as the technical authority for data science methodologies, modeling approaches, experimentation frameworks, and evaluation metrics.
• Drive cross-team data science initiatives by partnering closely with Engineering, Product, Architecture, and Business teams to deliver end-to-end solutions from problem definition through production.
• Translate ambiguous business problems into well-scoped analytical and modeling approaches without requiring step-by-step direction.
• Establish and maintain best practices for the full model lifecycle, including feature engineering, training, validation, deployment, monitoring, and retraining.
• Lead and evolve experimentation and measurement frameworks (e.g., A/B testing, causal inference, incrementality) to quantify business impact.
• Champion AI-first development practices, responsibly integrating modern AI and ML tooling into data science workflows while maintaining rigor, interpretability, and governance.
• Mentor and develop senior data scientists, setting a high bar for technical quality, business impact, and collaboration.
• Communicate complex analytical findings and model outcomes clearly to non-technical stakeholders, including executives, product leaders, and commercial partners.
• Partner with platform engineering to build scalable, reliable production ML systems operating in high-throughput, real-time environments.
• Ensure data privacy, security, and ethical AI principles are embedded across all data science solutions.

All About You:
• Deep expertise in applied data science and machine learning within advertising, ad tech, or media platforms.
• A strong foundation in machine learning theory and statistical modeling, with the ability to apply theory pragmatically in production environments.
• Proven leadership in driving complex, cross-functional initiatives that require alignment across engineering, product, and business stakeholders.
• Strong judgment in balancing innovation with rigor, scalability, interpretability, and governance.
• The ability to clearly communicate complex technical concepts and analytical insights to both technical and non-technical audiences.
• A collaborative leadership style that emphasizes mentorship, shared ownership, and continuous improvement.
• A strong sense of responsibility for data privacy, security, and ethical AI practices.
• Experience in a senior or leadership roles, owning data science initiatives across multiple teams or domains.
• Deep understanding of machine learning theory and practice, including:
• Supervised and unsupervised learning
• Probabilistic modeling and statistics
• Optimization techniques
• Model evaluation and bias considerations
• Proven experience building and deploying production-grade ML systems, not limited to research or offline modeling.
• Strong background in advertising data science, including areas such as audience modeling, bidding and optimization, campaign measurement, attribution, or real-time decisioning.
• Demonstrated success leading cross-functional projects requiring close collaboration with engineering, product, and business teams.
• Fluency in SQL and one or more data science programming languages (e.g., Python, R), with the ability to work effectively alongside production engineers.
• Experience working with large-scale data platforms, such as cloud data warehouses and distributed processing frameworks.

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

Purchase, New York: $195,000 - $323,000 USD

Arlington, Virginia: $196,000 - $323,000 USD

Austin, Texas: $170,000 - $281,000 USD

Boston, Massachusetts: $196,000 - $323,000 USD

New York City, New York: $204,000 - $337,000 USD

O'Fallon, Missouri: $170,000 - $281,000 USD

Remote - New York: $170,000 - $281,000 USD

San Francisco, California: $204,000 - $337,000 USD

Job Posting Window

Posting windows may change based on the volume of applications received and business necessity. Candidates are encouraged to apply expeditiously.

Lead Software Engineer

Arlington, Virginia, United States of America Posted 31 days ago

$161000 - $266000

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

Lead Software Engineer

Overview:
The Portfolio Intelligence team within Mastercard Services organization is seeking a Lead Software Engineer to play a critical role in advancing the Mastercard Intelligence Center, the organization’s flagship business intelligence platform. This role emphasizes technical leadership in design and architecture to support the platform’s continued growth and scalability. The Lead Software Engineer will operate as a hands on technical contributor, collaborating with multiple scrum teams to design, build, deploy, and scale real time, interactive applications used by global clients.
The role provides direct technical leadership through architectural decision making, design and code reviews, hands on code contributions, and the establishment of engineering standards. It also includes mentoring engineers, guiding the platform’s evolution toward modern technologies and AI driven capabilities, and promoting a culture of innovation, engineering excellence, and continuous improvement.
This is a hybrid position based in Arlington, VA, requiring three days per week onsite.

Role:
• Provide technical leadership across multiple engineering teams by influencing architecture, design decisions, and long-term platform strategy.
• Lead the design and development of large-scale, cross-functional initiatives with meaningful business impact.
• Act as a hands-on individual contributor who tackles complex engineering challenges across front-end and back-end systems.
• Define and guide architectural standards aligned with security, scalability, and performance requirements.
• Contribute to the development of agentic AI capabilities as part of ongoing platform innovation.
• Mentor engineers through code reviews, design reviews, and collaborative problem-solving.
• Improve and maintain CI/CD pipelines to support reliable and efficient development and deployment workflows.
• Drive automation and high-quality release practices to ensure stable and predictable production deployments.
• Enhance system observability and monitoring through dashboards, alerts, metrics, and log analysis using tools such as Splunk and Dynatrace.
• Lead incident resolution, troubleshooting, and root cause analysis (RCA) to strengthen platform stability and resilience.
• Partner with product, business, and technical stakeholders to identify opportunities, define scope, and assess value and impact.
• Collaborate with Program and Project Managers to estimate work, manage risks and dependencies, and track engineering metrics.
• Coordinate effectively with global and offshore teams while maintaining strong documentation, traceability, and SDLC standards.
• Continuously improve engineering processes, coding standards, and architectural best practices across teams.

All About You:
• Demonstrated progression in software engineering roles with increasing technical leadership and system ownership.
• Strong hands-on experience designing and building large-scale distributed systems.
• Expertise in modern programming languages such as Java, .NET/C#, or Python.
• Strong knowledge of microservices architecture, API design, and event-driven systems.
• Familiarity with distributed system patterns including idempotency, retries, circuit breaking, and backpressure.
• Experience working with cloud-native technologies and enterprise platforms, including: Docker, Kubernetes, AWS, Snowflake, PostgreSQL, Splunk, Dynatrace.
• Experience developing and maintaining CI/CD pipelines (e.g., Jenkins).
• Proven ability to influence technical direction across multiple teams without direct authority.
• Experience working with AI-driven systems or agentic architectures (e.g., LLM integrations, AI-enabled automation, or intelligent agents) is a strong plus
• Strong decision-making skills related to technology evaluation, architecture, and framework selection.
• Excellent communication and stakeholder management skills, with the ability to clearly explain technical tradeoffs, business value, and ROI.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.

LI-NF1

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

Arlington, Virginia: $161,000 - $266,000 USD

Senior Software Quality Engineer

Arlington, Virginia, United States of America Posted 39 days ago

$132000 - $212000

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 Software Quality Engineer

Overview:
Mastercard’s Portfolio Intelligence team, part of the Services organization, is seeking a Senior Software Quality Engineer to hold a valued role within a rapidly growing and successful firm, working closely with experienced and driven engineers to solve problems as a team.
As part of the Portfolio Intelligence team, you will bring your testing skills to drive the quality of a transformational new platform for financial institutions, leveraging large data sets and providing actionable insights. We are looking for an innovative software quality engineer who can design and execute test plans for key full-stack features and thrive in a fast-paced, agile team. The range of work you encounter varies from writing automated tests to ensuring analytical accuracy and beyond. This individual will partner closely with the New Product Development organization to deliver a solution that drives value for our customers.
Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. We take an agile approach to software development and practice continuous integration and delivery. The range of work that a team will encounter varies from front-end web development to writing server-side calculation code to database work. We prefer no rigid organizational structures; each team uses processes that work the best for its members and projects. You will be working closely with our US teams based in Arlington, VA, New York City, NY, and Pune, India.

This is a hybrid position based in Arlington, VA, requiring three days per week onsite.

Role:
• Lead testing efforts for large, complex product features that support high-impact decision-making for global clients.
• Ensure the accuracy and integrity of calculations and analytics across a variety of scenarios and data conditions.
• Coordinate testing activities across major releases while supporting continuous integration and continuous delivery practices.
• Design, develop, and maintain automated test frameworks and processes to improve testing efficiency and coverage.
• Contribute to delivering an intuitive and high-quality user experience that drives value for customers.
• Collaborate with Product Managers, Engineers, and Customer Experience Designers to understand user needs and validate new features.
• Identify opportunities to improve testing strategies, processes, and overall team efficiency.
• Participate in code reviews, testing strategy discussions, and quality initiatives across teams.
• Continuously explore new tools and technologies to enhance quality engineering capabilities.
• Take ownership of personal development while contributing to the growth and success of the broader team.

All About You:
• Hands on experience as a Software Quality Engineer, Software Engineer in Test, or Test Automation Engineer with hands-on involvement in building and maintaining automated testing solutions.
• Strong understanding of software testing techniques including UI testing, automated testing, and test-driven development approaches.
• Experience working within Agile development environments.
• Proficiency with modern testing and development tools such as Playwright, Git, Jenkins, and CI/CD pipelines.
• Experience working with unit testing frameworks (Java Spring Boot preferred).
• Strong SQL expertise, including validating data, troubleshooting issues, and supporting end-to-end testing across data systems.
• Experience working with PostgreSQL, and familiarity with Snowflake, MixPanel and/or Playwright is a plus.
• Strong analytical and problem-solving skills with the ability to understand system behavior end-to-end.
• High attention to detail and the ability to follow structured testing and validation processes.
• Strong collaboration skills with the ability to work effectively with cross-functional and global teams.
• Excellent written and verbal communication skills, with the ability to clearly explain technical concepts to diverse audiences.
• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Mathematics, or related field. Equivalent practical experience may also be considered.

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.

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AI3

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

Arlington, Virginia: $132,000 - $212,000 USD

Lead Software Engineer

Arlington, Virginia; O'Fallon, Missouri (Main Campus) Posted 40 days ago

$161000 - $266000

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

Lead Software Engineer

Mastercard’s Portfolio Intelligence program is seeking a Lead Software Engineer to play a pivotal role in the development and scaling of the Mastercard Intelligence Center, Mastercard’s flagship business intelligence offering, with a primary focus on the data and analytics platform. In this role, you will serve as a hands‑on technical lead, partnering closely with multiple backend‑ and data‑focused scrum teams to design, build, and evolve critical platform capabilities. You will provide technical leadership through direct contributions, architectural decision‑making, and the establishment of engineering standards, while offering technical mentorship to other engineers. You will also help guide the platform’s evolution toward emerging technologies and AI‑driven capabilities, fostering a culture of innovation, technical excellence, and continuous improvement.

This is a hybrid position based in Arlington, VA, requiring three days per week onsite.

Responsibilities
Platform Architecture & Technical Leadership
• Lead system level design for data pipelines, data services, and backend components supporting a large-scale BI platform.
• Define and evolve architecture, patterns, and engineering standards (coding, testing, observability, security, performance, and cost efficiency).
• Create solution definitions, architecture proposals, and roadmaps, present tradeoffs and recommendations to product leadership and stakeholders.
• Ensure solutions align with security, compliance, and audit requirements and Mastercard standards; integrate these into the SDLC and reviews.
• Conduct/drive design reviews, architecture reviews, and security reviews; ensure readiness and alignment before build.
Hands On Development & Delivery
• Design and build backend services and ETL/ELT data pipelines (Java preferred; C# or Python acceptable).
• Orchestrate workflows with Airflow; implement data transformations at scale (e.g., Databricks / Spark); optimize data models and warehouse usage (Snowflake).
• Implement CI/CD pipelines with Jenkins; maintain code quality via code reviews, unit/integration/performance testing, and automation.
• Instrument services for observability (e.g., Splunk dashboards/alerts); set and monitor SLOs and error budgets; drive incident response and root cause analysis.
• Champion cost, performance, and reliability optimization across AWS services and data platforms.
Execution, Stakeholder Management & Team Leadership
• Lead delivery across 2+ scrum teams, partnering with product, data, and platform leads to plan and deliver outcomes on time and to SLA.
• Collaborate with Project/Program Managers to scope work, estimate effort/cost, manage risks and dependencies, and track metrics.
• Provide technical mentorship and coaching; elevate team capabilities via brown bag sessions, pairing, and review culture.
• Coordinate with global/offshore contributors; uphold documentation standards and traceability throughout the SDLC.
• Support RFI/RFP evaluations, vendor/technology selection, and proofs of concept for emerging technologies, including AI driven use cases.

Qualifications
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
• Experience as a senior or lead software engineer, including:
o Strong backend development skills (Java preferred; C# or Python also acceptable).
o Designing and operating large scale data pipelines, ETL/ELT processes, and data warehousing solutions.
o Hands on experience with Databricks (Spark), Airflow, Snowflake, and core AWS services.
o Building and maintaining CI/CD pipelines with Jenkins and implementing production observability using Splunk (dashboards, alerts, log analysis).
• Proven ability to deliver secure, high quality, and reliable systems within SLA, including code reviews, test automation, and performance tuning.
• Demonstrated capability to lead and mentor engineers and influence architecture across multiple teams.
• Excellent communication, stakeholder management, and documentation skills—able to clearly articulate trade offs, value, and ROI to both technical and non technical audiences.
• Exposure to data governance, data quality, and metadata management practices for analytics platforms.
• Experience building or supporting AI/ML capabilities on top of data platforms (e.g., feature pipelines, inference orchestration, model observability).
• Knowledge of microservices, API design, and distributed systems patterns (idempotency, backpressure, retries, circuit breaking).
• Familiarity with performance and cost optimization in Snowflake (e.g., warehouse sizing, caching) and AWS (e.g., storage and compute cost controls)

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.

LI-TE1

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

Arlington, Virginia: $161,000 - $266,000 USD

O'Fallon, Missouri: $140,000 - $231,000 USD