MastercardLead Software Engineer
Mastercard is hiring a Lead Software Engineer in Arlington, United States. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Databricks, software development and cloud platforms.
- Level classifies it as a lead role.
- Level lists 1,100+ other open roles at Mastercard.
- The role was posted in the last few days.
AI in this role
Design, develop, test, and deliver scalable software components and data pipelines across cloud and enterprise environments.
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 EngineerMastercard is looking for a talented Lead Software Development Engineer to join the Mastercard Foundry Research and Development team. In this role, you will work as part of a highly agile team building products and capabilities delivered at scale to global markets.Our team is built on a foundation of research and development, partnering across the enterprise to define, build, validate, and deliver product capabilities that support Mastercard’s business units and customers. At Mastercard, you will help build technology that supports the future of commerce globally.
This team has a diverse focus across geography and technology challenges, with a strong emphasis on bringing payment solutions and services to market.
As a Lead Software Engineer on the R&D team, you will contribute to the design, development, testing, and delivery of product capabilities across Mastercard’s business units.
Responsibilities of the role include:
• Design, develop, test, and deliver software components in a rapidly changing environment
• Contribute to solution design and technical implementation plans under the guidance of Mastercard technology leaders
• Identify technical risks, raise issues early, and support validation of implementation approaches
• Leverage knowledge of technical and data assets to implement efficient solutions to business problems
• Build and integrate applications, interfaces, data pipelines, and services across relevant technology stacks
• Develop scalable, maintainable solutions across cloud platforms, data platforms, and enterprise environments
• Follow established engineering standards, secure development practices, and team delivery processes
• Partner closely and communicate effectively with product, design, data, architecture, and engineering stakeholders
• Participate in code reviews, troubleshooting, testing, documentation, and production-readiness activities
• Share technical knowledge with teammates and contribute to an effective engineering culture
Skills / Qualifications:
• Strong experience designing, developing, testing, and delivering software products and applications
• Hands-on experience with cloud platforms such as Databricks, Snowflake, AWS, or Azure
• Experience with big data ecosystems and enterprise-scale data or AI applications, such as Hadoop, Spark, Kafka, or similar technologies
• Working knowledge of AI/ML, data analytics, and data product development, including data quality, data privacy, and localization considerations
• Proficiency with Java, Spring Boot, React, TypeScript, Postgres, object-oriented programming, front-end frameworks, and database technologies
• Ability to translate business and product needs into practical technical implementation
• Strong verbal and written communication skills and ability to collaborate across functions
• Ability to work independently within defined priorities, escalate blockers, and deliver high-quality work in an agile environmentMastercard 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 reasonable_accommodation@mastercard.com 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.
Pay Ranges
Arlington, Virginia: $161,000 - $266,000 USDHow we rate this
Lead Software Engineer at Mastercard rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where cloud platforms was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where code reviews was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Development, Cloud Platforms, Data Pipelines, Code Reviews, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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