MastercardSenior Software Engineer
Mastercard is hiring a Senior Software Engineer in Mexico City, Mexico. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Uses AI ●●○○ is how Level rates this software engineer role: an ordinary role that requires AI tools.
- The posting mentions Claude, Copilot and Claude Code among its tools and skills.
- Level classes it as a senior role.
- Mastercard has 948 other open roles on Level.
AI in this role
Design and build core components of the Developer Workbench platform with AI-augmented development capabilities.
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 EngineerOverview:The Mastercard Developer Workbench, part of the MSBX (Mastercard Software Builder Experience) division, is evolving from a cost-allocation construct into a unified, developer-centric platform. With over 11,500 software engineers across the organization, Mastercard is investing in a dedicated product team to deliver an integrated, end-to-end developer experience.
The Developer Workbench brings together five core MSBX products — BuildersHub, DevFlow, TestFlow, DevInsights, and Cloud DevEx — alongside cross-cutting tools including GitHub Copilot, Claude Code, and Docker Desktop. This is a rare opportunity to shape the future of how engineers at one of the world's leading technology companies build, test, and ship software.
About the Role:
- Design, build, and maintain core components of the Developer Workbench platform across the full development lifecycle.
- Contribute to the technical direction and roadmap of the Developer Workbench, helping evolve it from a chargeback mechanism into a cohesive, productized developer experience.
- Drive the integration and enablement of software engineering tools across the development lifecycle, with a focus on usability and reliability.
- Contribute to the governance of the "birthright and optional tooling" catalogue — supporting version lifecycle management, tool evaluations, and deprecation of redundant solutions.
- Collaborate with product owners, platform teams, and engineering stakeholders to deliver workbench capabilities that align with organization-wide engineering priorities.
- Build and improve developer enablement features — onboarding flows, self-service tooling, feedback integrations — to maximize the value of deployed tools across 11,500+ engineers.
- Design and implement pre-provisioned onboarding environments that enable new hires to be productive within 30 minutes of day one.
- Implement and advance AI-augmented development capabilities including agentic coding tools, code assistants, and automated quality
pipelines.
- Instrument the platform with meaningful metrics that surface developer productivity, satisfaction, and platform health.
- Engage across engineering, security, and compliance teams to ensure tooling implementations meet Mastercard's security and regulatory requirements.
- Actively participate in the Software Engineering Guild, sharing technical expertise and promoting standard engineering patterns across
the organization.
All About You:
- Strong background in software engineering, ideally including work on platform engineering, developer tooling, or developer experience (DevEx) products.
- Hands-on experience building and operating developer platforms or internal tooling at enterprise scale.
- Deep familiarity with the modern developer tooling ecosystem, including:
- AI coding assistants: GitHub Copilot, Claude Code, or similar
- Containerization and desktop dev environments: Docker Desktop, Kubernetes, DevContainers
- CI/CD and pipeline tooling: GitHub Actions, Jenkins, ArgoCD, or similar
- Developer portals and inner-source platforms: Backstage, or similar
- Experience working with AI-powered developer tools in a regulated enterprise environment, including an understanding of policy compliance, access controls, and responsible AI usage.
- Strong understanding of developer experience (DevEx) principles and the ability to translate developer pain points into platform improvements.
- Experience designing and delivering pre-provisioned, standardized development environments at scale.
- Solid understanding of cloud platforms (AWS, Azure, GCP), including infrastructure automation and cloud-native development patterns.
- Ability to contribute to tool adoption through instrumentation, metrics, and feedback mechanisms.
- Strong written and verbal communication skills with the ability to collaborate effectively across engineering and cross-functional
teams.
- Familiarity with software development productivity metrics (e.g., DORA metrics, onboarding time, tool adoption rates) and using data to
inform technical decisions.
- Self-driven and comfortable operating in ambiguous, fast-evolving technology environments.
- Strong understanding of Agile/Scrum methodologies and SDLC best practices from design through deployment.
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 50 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
- $167k
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
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where developer experience was part of your work. What did you do?
- Tell me about a project where platform engineering was part of your work. What did you do?
- Walk me through how you've used Claude in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI Safety, Software Engineering, Developer Experience, Platform Engineering, and Claude. 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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