MastercardSenior Software Engineer
Mastercard is hiring a Senior Software Engineer. Level rates it ; you can apply on Mastercard.
Level's read on this job
- On Level's scale, this software engineer role is Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Copilot, C and .NET.
- Level classifies it as a senior role.
- Level lists 1,000+ other open roles at Mastercard.
AI in this role
Design, develop, and operate scalable backend services and APIs as a senior software engineer using AI-assisted tools.
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 EngineerSenior Software Engineer — EU ConnectivityOverview
Mastercard is a global technology company powering an inclusive, digital economy, enabling secure and seamless transactions across 210+ countries.
This role sits within Mastercard’s Open Finance Europe – Connectivity team, responsible for building and operating scalable API integrations with financial institutions across Europe.
As a Senior Software Engineer, you will be a key hands-on contributor responsible for designing, building, and operating secure, reliable backend services. You will work on complex engineering problems, contribute to system design decisions, and deliver high-quality solutions that operate at scale in production environments.
Shape
What You’ll Do
Design, develop, test, and support scalable APIs and backend services
Contribute to system design decisions with a focus on scalability, resilience, and performance
Deliver high-quality, production-ready code across the full software development lifecycle
Troubleshoot and resolve production issues, ensuring system stability and reliability
Participate in code reviews and uphold engineering best practices and standards
Implement effective testing strategies (unit, integration, end-to-end)
Collaborate with cross-functional teams including Product, Architecture, Security, and SRE
Improve observability, automation, and operational efficiency across services
Shape
Technology Stack
Backend: C#, .NET, Web APIs
Cloud: Azure (App Services, KeyVault, Blob Storage), AWS (S3, Redis, Microservices)
Data: PostgreSQL, Flyway
Practices: CI/CD pipelines, observability, secure development
Plus: Java / Spring Boot, AI-assisted tools (e.g., GitHub Copilot)
Shape
What You Bring
Required
5–8 years of professional software engineering experience
Strong hands-on experience building cloud-based, distributed backend systems
Solid expertise in API development, scalability, and production support
Ability to solve complex technical problems with a structured, pragmatic approach
Strong understanding of SDLC, testing practices, and secure coding principles
Proven ability to own and deliver components/services independently
Strong collaboration and communication skills
Shape
Preferred
Experience in payments, banking, or Open Banking (PSD2) environments
Experience working with microservices architectures
Familiarity with observability, monitoring, and incident response practices
Exposure to AI-assisted development tools (e.g., GitHub Copilot)
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.
How we rate this
Senior Software Engineer at Mastercard rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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 api development was part of your work. What did you do?
- Tell me about a project where backend development was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where system design was part of your work. What did you do?
- Walk me through how you've used Copilot in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: API Development, Backend Development, Cloud Computing, System Design, and Copilot. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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