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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Vice President, Software Engineering - **Company:** Mastercard - **Location:** Harrison, NY, United States - **Experience:** Expert - **Salary:** $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Engineering, Cyber Security, Distributed Systems, Software Engineering, System Availability, Event Driven Architecture, Apache Flink, Apache Kafka, Video Streaming, Microservices - **Published:** September 27, 2026 - **Apply:** https://dejobs.org/x/x/3ED62104ACF44264AA883B45E781D687/job/ ## About the Role Leadership Expectations: * Operate as an entrepreneur and builder. * Demonstrate bias for action and comfort with ambiguity. * Make decisions quickly using data and customer insights. * Foster radical transparency and cross-functional collaboration. * Inspire teams through vision, technical credibility, and execution excellence. * Challenge conventional thinking while remaining focused on business outcomes. Required * Engineering leadership experience. * Proven experience building and scaling large-scale distributed platforms. * Deep expertise in cloud-native architecture, microservices, event-driven systems, and modern software engineering practices. * Demonstrated success leading engineering organizations through transformation and growth. * Experience delivering platforms requiring high availability, resiliency, and performance at significant scale. * Strong executive communication and stakeholder management skills. Preferred * Experience with AI/ML product platforms and intelligent decisioning systems. * Expertise in streaming technologies such as Kafka, Flink, or similar event-processing architectures. * Experience in payments, fraud, risk, authentication, or financial services technology. * Background building startup ventures, innovation labs, or greenfield platforms. * Record of leading globally distributed engineering organizations. ## Description Decision Stream is Mastercard's next-generation, AI-native decisioning platform designed to deliver intelligent, real-time decisioning across payments, fraud, authentication, and adjacent risk domains. The platform is being built as a startup-style venture within Mastercard, combining the speed and innovation of a product startup with the scale, security, and reach of an enterprise platform. We are seeking an Engineering Co-Founder to lead the engineering vision, architecture execution, talent strategy, and platform delivery for Decision Stream. This leader will partner closely with Product, Architecture, AI, Platform, and Foundry teams to build an industry-leading, cloud-native decisioning platform that redefines how decisions are made across Mastercard's ecosystem. Engineering Leadership & Strategy * Establish and execute the engineering vision for Decision Stream. * Drive engineering priorities, technical investment decisions, and platform evolution. * Create a high-performance culture built on ownership, innovation, accountability, and speed. * Partner with executive leadership to define long-term technology strategy and roadmap. Platform & Architecture * Lead the development of a cloud-native, AI-native decisioning platform capable of operating at Mastercard scale. * Drive architectural decisions across streaming, orchestration, rules execution, AI inference, observability, resiliency, and platform services. * Ensure platform reliability, scalability, security, and operational excellence. * Balance rapid experimentation with enterprise-grade engineering discipline. Talent & Organization * Build and scale world-class engineering teams across platform engineering, AI, distributed systems, and product development. * Develop a lean operating model built around empowered cross-functional pods. Product & Business Partnership * Partner closely with the Product Co-Founder to align engineering investments with customer outcomes and business objectives. * Work collaboratively across Product, Architecture, Foundry, Operations, and AI teams as one integrated leadership team. * Drive a culture where engineering teams own outcomes Execution & Delivery * Lead the platform through MVP validation, commercialization readiness, and scaled adoption. * Establish engineering metrics, governance, and operating rhythms., Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position 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 Total Base Pay Range 220,000.00 - 400,000.00 USD Annual, 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. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Next Level Enterprise Architecture: Modular, Flexible, Scalable, Multichannel and AI-Ready?](https://www.wearedevelopers.com/videos/1017-next-level-enterprise-architecture-modular-flexible-scalable-multichannel-and-ai-ready) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [How to Benchmark Your Apache Kafka](https://www.wearedevelopers.com/videos/76-how-to-benchmark-your-apache-kafka) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [The Rise of Reactive Microservices](https://www.wearedevelopers.com/videos/494-the-rise-of-reactive-microservices) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers)