Lead Software Engineer — Connectivity
Mastercard is hiring a Lead Software Engineer — Connectivity in Warsaw, Poland. 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.
- The posting mentions Copilot, C and .NET among its tools and skills.
- Level classes it as a lead role.
- Mastercard has 1,100+ other open roles on Level.
- Posted within the past week.
AI in this role
Build and operate scalable API connectivity services across Europe while utilizing AI coding assistants.
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 — ConnectivityOverviewThis role sits within Mastercard’s Open Finance Europe – Connectivity team, building and operating scalable API connectivity to financial institutions across Europe.
As a Lead Software Engineer, you will own end-to-end delivery of secure, reliable connectivity services. This is a hands-on role focused on solving complex problems, driving technical decisions, and delivering high-quality systems from design through production.
You will partner with Product and business stakeholders to deliver new capabilities, improve platform reliability, and scale integrations across markets.
Core Responsibilities
• Own end-to-end delivery of engineering solutions—from design through development, deployment, and production support
• Solve complex technical problems and drive system design decisions
• Design, build, and operate scalable APIs and backend services
• Review code and uphold high standards of quality, performance, and maintainability
• Apply best practices across SDLC, testing, security, and observability
• Collaborate with Product, Architecture, Security, and SRE teams
• Implement robust testing strategies (unit, integration, end-to-end)
• Drive automation and improvements in developer productivity and operational efficiency
• Mentor engineers and support them in solving technical challenges and growing their skills
Technology Stack
• C#, .NET 10, Web APIs
• Java/Spring Boot (plus)
• Azure (App Services, Blob Storage, KeyVault, CI/CD)
• AWS (Microservices, S3, Redis, CI/CD pipelines)
• PostgreSQL, Flyway
• Generative AI tools (GitHub Copilot, etc.)
All About You
Must Have
• 8–10 years of professional software engineering experience
• Strong hands-on experience building cloud-based, highly available systems
• Deep expertise in backend engineering (API design, reliability, production support)
• Proven ability to solve complex technical problems and influence design decisions
• Experience delivering and operating end-to-end systems in production environments
• Strong collaboration skills with Product and business stakeholders
• Familiarity with banking/payments/open banking (PSD2) environments
• Strong communication and problem-solving skills
Nice to Have
• Experience with Open Banking or bank connectivity at scale
• Experience with AI-assisted engineering tools (Copilot, etc.)
• Track record of improving efficiency through automation
• Familiarity with infrastructure-as-code and platform governance
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
Lead Software Engineer — Connectivity at Mastercard rates 45 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 backend was part of your work. What did you do?
- Tell me about a project where api design was part of your work. What did you do?
- Tell me about a project where cloud was part of your work. What did you do?
- Tell me about a project where microservices 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: Backend, API Design, Cloud, Microservices, 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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