Senior Software Engineer

Mastercard is a global technology company in the payments industry. They are seeking a Senior Software Engineer to help build intelligent applications and platforms that leverage AI and modern developer tools. The role focuses on designing scalable systems and improving engineering productivity across the product development lifecycle.

Responsibilities:

• Design, build, and evolve intelligent, agentic applications and platform capabilities that solve meaningful business problems at scale
• 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
• Partner with product, data science, and engineering teams to translate ideas into production-grade solutions with clear business impact
• Drive technical innovation by evaluating emerging tools, frameworks, and engineering practices, and identifying where they can create differentiated value

Requirements:

• 7+ years of strong software engineering experience building scalable, maintainable, production-grade systems
• Hands-on experience building applications or platforms using Generative AI, or agentic design patterns
• Strong understanding of agent orchestration, tool use, prompt and context management, memory patterns, evaluation, and AI system design trade-offs
• Experience taking AI-enabled solutions from prototype to production with sound engineering discipline across reliability, observability, latency, cost, security, and governance
• Practical experience using AI coding and engineering assistants to improve productivity across the software development lifecycle
• Experience improving PDLC and SDLC efficiency through automation, CI/CD, automated testing, and AI-assisted engineering workflows
• Strong programming skills in one or more backend languages such as Java and Python, with the ability to write high-quality, well-tested, production-ready code
• Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure
• Good understanding of APIs, distributed systems, event-driven architectures, data pipelines, and enterprise integration patterns
• Experience with modern AI frameworks, SDKs, and tools for building AI applications, agent workflows, and developer productivity solutions
• Strong problem-solving and analytical skills, with the ability to break down ambiguity and turn ideas into practical, scalable solutions
• Demonstrated innovative mindset with curiosity to learn new technologies, evaluate emerging tools, and apply them where they create value
• Strong sense of ownership and accountability, with the ability to independently drive initiatives from concept to delivery
• Excellent collaboration and communication skills, with experience working across engineering, product, AI, and business stakeholders
• Experience with modern front-end frameworks such as React and/or Next.js is beneficial
• Familiarity with inference APIs, embeddings, retrieval-augmented generation, model evaluation, and AI safety controls is preferred