Senior Software Engineer

Preferred qualifications

• Experience in payments, high-volume transaction processing, or other highly available and regulated technology environments.
• Familiarity with cloud-native platforms, observability, resiliency, and Responsible AI practices.
• Skills, Tools & Technologies
• Must have:
• Core: Python or another modern programming language, experience with SQL and other relational or NoSQL databases, backend services and distributed systems for integrating enterprise data, AI capabilities, and resilient high-volume transaction workflows, strong debugging skills, Git, and automated testing.
• AI workflows and quality: LLM application development and RAG, with emphasis on prompts and agent workflows, and guardrails and evaluation logic.
• AI platforms and frameworks: Knowledge of Anthropic APIs, AWS Bedrock, Azure OpenAI, or equivalent hosted-model services, and LangChain, LangGraph, or equivalent SDKs.
• Good To Have:
• Enterprise application engineering: REST/gRPC APIs, secure coding, and CI/CD practices that automate testing and evaluation and enable reliable AI application releases.
• Cloud-native reliability and operations: AWS or Azure, Docker, Kubernetes, observability, security controls, and high-availability application design.
• Domain technology stack: C/C++, SQL, Unix/Linux, sockets, inter-process communication (IPC), shared memory, and microservices.
• 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.