This job is no longer available
This job expired on 19/07/2026. It no longer accepts applications.
Software Engineer II
Mastercard · District fédéral
Job description
About the role
Mastercard’s CNPF Data & AI organization is seeking a hands‑on Software Engineer II to design and build the next generation of intelligent, agentic applications and engineering platforms. You will work at the intersection of software engineering, AI capability development, developer experience, and platform innovation, turning emerging technologies into secure, reliable, and reusable capabilities that deliver measurable business value.
Key responsibilities
- 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 for scalable, maintainable, and extensible systems.
- Influence system architecture decisions, including distributed systems, event‑driven patterns, and cloud‑native design.
- Develop high‑quality, efficient code leveraging strong data structures and algorithmic thinking.
- Apply AI and agentic development patterns to improve engineering productivity across the full software lifecycle.
- Evaluate emerging AI tools, frameworks, and platforms and integrate them where they create measurable value.
- 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.
Required profile
- Hands‑on software engineer with deep engineering expertise and a passion for AI‑enabled solutions.
- Strong problem‑solving abilities and practical innovation mindset.
- Experience designing cloud‑native, distributed, and event‑driven systems.
Required skills
- Distributed systems and event‑driven architecture.
- Cloud‑native design principles.
- AI development and agentic workflow patterns.
- Software design patterns and architectural best practices.
- Data structures and algorithmic thinking.
- CI/CD pipelines and modern development tooling.
- Automated testing frameworks and comprehensive testing strategies.
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Mastercard
District fédéral