# Senior Software Engineer

**Company**: Mastercard
**Location**: Mexico City
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Mexico-City-Mexico/Senior-Software-Engineer_R-281205?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9b2d82e7-c84

## Description

Mastercard's CNPF Data & AI organization is seeking an exceptional Senior Software Engineer to build the next generation of intelligent, agentic applications and engineering platforms.

As a Senior Software Engineer, you will design and build scalable, production-grade systems that leverage AI, agentic workflows, and modern developer tooling to accelerate product delivery and improve engineering productivity across the full product development lifecycle.

**Responsibilities:**

- Software Design, Architecture & Development:

- Design, build, and evolve intelligent, agentic applications and platform capabilities that solve meaningful business problems at scale.

- Apply robust software design principles, design patterns, and architectural best practices to create scalable, maintainable, and extensible systems.

- Influence and contribute to system architecture decisions, including distributed systems, event-driven patterns, and cloud-native design.

- Develop high-quality, well-structured, and efficient code leveraging strong data structures and algorithmic thinking.

- AI-Enabled Engineering & Innovation:

- Apply AI and agentic development patterns to improve engineering productivity across design, coding, testing, debugging, documentation, release engineering, and operational support.

- Use modern tools and coding assistants thoughtfully to accelerate delivery while maintaining strong standards for quality, security, reliability, and maintainability.

- Evaluate emerging AI tools, frameworks, and platforms and integrate them into engineering workflows where they create measurable value.

- Testing & Quality Engineering:

- Design and implement comprehensive testing strategies, including unit, functional, integration, and end-to-end testing.

- Build and maintain automated testing frameworks and integrate them into CI/CD pipelines.

- Ensure high levels of test coverage, system reliability, and defect prevention across the software lifecycle.

- Leverage AI-assisted solutions to enhance testing efficiency and effectiveness.

- Code Quality & Engineering Excellence:

- Conduct and actively participate in code reviews, ensuring adherence to coding standards, maintainability, security, and best practices.

- Champion engineering excellence, including clean code, reusable design, and continuous improvement practices.

- Mentor peers through review processes and knowledge sharing.

- Performance, Security & Reliability:

- Design and optimize systems for performance, scalability, latency, and cost efficiency.

- Apply and promote secure coding practices, integrating security considerations into all stages of development (DevSecOps).

- Ensure systems are observable, resilient, and production-ready, with strong monitoring, alerting, and incident response capabilities.

- Operability & Troubleshooting:

- Build systems with strong operational readiness, ensuring maintainability and supportability in production environments.

- Diagnose and resolve complex technical issues across distributed systems, leveraging structured troubleshooting approaches.

- Continuously improve system reliability through automation, root cause analysis, and proactive enhancements.

- Collaboration & Delivery:

- Partner with product, data science, and engineering teams to translate ideas into production-grade solutions with clear business impact.

- Improve SDLC efficiency through automation, CI/CD, and AI-assisted workflows.

- Lead by example through hands-on development, strong ownership, and execution.

**Requirements:**

- Strong programming skills in languages such as Java and/or Python, with demonstrated ability to write efficient, high-performance code using appropriate data structures and algorithms.

- Hands-on experience building agentic or AI-enabled applications.

- Strong understanding of APIs, distributed systems, event-driven architectures, and enterprise integration patterns.

- Intermediate experience with React or Next.js.

- Experience with cloud-native development using Kubernetes and managed cloud platforms such as AWS or Azure.

- Experience with CI/CD, automation, and engineering productivity tooling.

- Familiarity with modern AI frameworks, SDKs, and tools for building intelligent applications and agent workflow.

**Preferred Qualifications:**

- Familiarity with model evaluation, AI safety controls, and governance practices.

- Experience building reusable developer platforms or internal engineering tools.

- Practical use of AI coding assistants to improve delivery speed and quality.

## Skills

### Required
- Java
- Python
- React
- Next.js
- Kubernetes
- AWS
- Azure
- CI/CD
- AI frameworks

### Nice to have
- model evaluation
- AI safety controls
- governance practices
- reusable developer platforms
- internal engineering tools
- AI coding assistants

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Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Mexico-City-Mexico/Senior-Software-Engineer_R-281205?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)