
Global payments and technology company
Lead / Senior Software Engineer at Mastercard
About the role
About Us
At Mastercard, we're powering economies and empowering people, building a sustainable economy where everyone prospers.
Size: 10000+ employees
Industry: Consulting, Financial Services, Technology, Fintech
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 / Senior Software Engineer
We are looking for a Senior Software Engineer to be part of The Mastercard Foundry R&D team. You will be part of the team that drives Mastercard's innovation journey by consistently looking to discover and learn new skills and technologies and apply them to create highly scalable products. The ideal candidate is passionate about technology, willing to experiment, agile, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.
What you'll do
Contribute to developing and delivering high quality & scalable software solutions in an agile team.
Collaborate with a global team of product owners, researchers and engineers in a high-ownership, fast-moving agile setup.
Build innovative solution prototypes, pilots, and MVPs that explore the edge of what's possible in payment and commerce.
Explore emerging technologies and assess its potential impact on payments and commerce.
What you'll bring
Experiences across the stack - from backend (e.g., Java Spring Boot, microservices) to frontend (React/Angular), mobile (iOS/Android), and databases (SQL, NoSQL). Full-stack experience is a huge plus.
Experiences in developing & running AI / ML & Generative AI solution using various cloud-based AI platform, such as Databricks, Azure AI Foundry, or AWS AI Stack, is preferrable.
Solid understanding of agile development methodology, clean coding practices, testing driven development and continuous integration & deployment.
A passion for innovation, emerging technology, and building products that matter.
A growth mindset with a "can-do" attitude and willingness to go above and beyond.
Excellent communication, collaboration, and problem-solving skills and the ability to work within a team and team of teams across various geographical locations.
Email Address
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Experiences working on scalable product development with understanding of the software development best practices.Required skills:5+ years of experience working in agile team.3+ years of Java Spring Boot development experience with microservices and database, SQL or NoSQL.5+ years of experience designing scalable software solutions across the stack.Excellent written and oral communication skills.Preferred skills:Full-stack development experiences.Designing, developing, deploying, and running AI/ML and Generative AI solutions using various cloud-based AI platforms, such as Databricks, Azure AI Foundry, or AWS AI Stack2+ years of experience developing front end applications (React/Angular)2+ years of experience developing mobile applications (native iOS/Android)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.
Client-provided location(s): Singapore
Job ID: Mastercard-22331_R-259113
Employment Type: OTHER
Posted: 2025-08-26T19:15:16
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Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Pet Insurance
- Mental Health Benefits
- Virtual Fitness Classes
- Health Reimbursement Account
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- On-site/Nearby Childcare
- Adoption Leave
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- Snacks
- Company Outings
- On-Site Cafeteria
- Holiday Events
- Some Meals Provided
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
- Volunteer Time Off
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Relocation Assistance
- Financial Counseling
- Stock Purchase Program
- 401(K)
- Company Equity
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Access to Online Courses
- Lunch and Learns
- Internship Program
- Work Visa Sponsorship
- Leadership Training Program
- Associate or Rotational Training Program
- Shadowing Opportunities
Diversity and Inclusion
Employee Resource Groups (ERG)
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Required skills
Python
JavaScript
TypeScript
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About Mastercard

Mastercard
PublicA financial network that processes payments between banks and cardholders
10,001+
Employees
Purchase
Headquarters
$360B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
2.8
Compensation
4.1
Culture
4.2
Career
3.4
Management
3.1
72%
Recommend to a friend
Pros
Great team culture and supportive colleagues
Excellent benefits and compensation
Training and development opportunities
Cons
Work-life balance challenges and long hours
High pressure and stress during peak times
Management issues and lack of direction
Salary Ranges
51 data points
Junior/L3
Director
Junior/L3 · Data Engineer
5 reports
$137,800
total per year
Base
$106,000
Stock
-
Bonus
-
$107,900
$166,918
Interview experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer rate
33%
Experience
Positive 33%
Neutral 34%
Negative 33%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Super Day/Final Round
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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