• Assist with the development and maintenance of web applications using Python 3.9, Django, and DRF. • Learn about and participate in the full software development lifecycle. • Assist with code reviews and contribute to improving the security aspects of applications. • Assist in the development of automated tests to ensure application reliability and security. • Contribute to technical documentation (design docs, API documentation, release notes). • Assist with the implementation of integrations with 3rd party services e.g. Google, AWS, ServiceNow. • Learn how to collaborate with the cybersecurity team to identify vulnerabilities and implement secure coding practices.

• Design and implement scalable, distributed data pipelines using AWS services • Architect and lead the implementation of a comprehensive security framework for the Databricks platform • Define and enforce enterprise-grade security standards across Databricks workspaces • Apply deep domain expertise in molecule-level data • Develop and fine-tune large language model (LLM) applications • Integrate generative AI systems with enterprise data ecosystems • Establish robust LLM evaluation and monitoring frameworks • Collaborate cross-functionally with engineering, data science, and product stakeholders • Implement CI/CD pipelines using GitHub and GitHub Actions • Develop intelligent knowledge workflows and dashboards

• Own product quality across the entire software development lifecycle • Responsible for reducing defects, preventing recurring issues, improving engineering behavior • Ensure quality is built into every stage of development • Act as quality authority within Engineering, driving accountability, enforcing quality processes • Use Claude Code daily to analyze Jira issues, incidents, support tickets, and production defects • Trace issues to root causes within the codebase using Claude Code • Identify recurring defect patterns and categorize root causes • Review code changes and identify opportunities to prevent future defects • Generate, review, and improve Playwright and other automated test suites • Identify missing edge cases and testing gaps • Analyze production incidents, customer-reported defects, and engineering issues • Lead post-incident reviews and root cause analysis activities

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 Software Engineer II Senior Software Engineer Overview: Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realise their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The CNPF Data & AI organisation is looking for an exceptional Senior Software Engineer to help build the next generation of intelligent, agentic applications and engineering platforms. This is a high-impact role for a hands-on engineer who combines deep software engineering expertise with a passion for AI, innovation, and practical problem solving. 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. 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 create measurable business value. We are looking for someone who is curious, entrepreneurial, and energized by solving hard problems. The ideal candidate brings strong ownership, analytical thinking, and a continuous-learning mindset, and is excited to explore new tools, challenge conventional approaches, and raise the bar for how modern software is built. This is a hands-on role for an engineer who is deeply engaged in applying agentic patterns to real products, platforms, and developer workflows. You will help create the services, frameworks, and reusable engineering patterns that enable teams across Mastercard to experiment faster, deliver with confidence, and scale AI-enabled solutions responsibly. Position Responsibilities: As a Senior Software Engineer, you will:• 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 Ideal Candidate Qualifications:• 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 All About You• You thrive on building innovative products, platforms, and engineering capabilities that solve real-world problems at scale• You are hands-on, highly curious, and energized by learning new tools, technologies, and ways of working• You actively leverage AI tooling to enhance productivity, improve quality, and accelerate software delivery• You bring a strong ownership mindset and take accountability for outcomes, not just tasks• You are a creative and analytical problem solver who can navigate ambiguity and turn complex challenges into elegant solutions• You are excited by the opportunity to build and scale agentic applications and AI-enabled engineering capabilities in real production environments• You balance speed with engineering discipline and care deeply about security, resilience, quality, and maintainability• You have a product mindset and care about user impact, developer experience, and continuous improvement• You communicate clearly, collaborate effectively across functions, and help raise the bar for those around you• You enjoy experimenting, challenging assumptions, and helping shape the future of modern software engineering Corporate Security Responsibility 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.