Senior Software Engineer at Mastercard

Ramat Gan, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

12 Sep, 26

Salary

0.0

Posted On

14 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Distributed Systems, Microservices, AWS, GCP, Azure, Docker, Kubernetes, MySQL, PostgreSQL, Redis, REST APIs, Monitoring, Logging, Observability, Problem Solving

Industry

IT Services and IT Consulting

Description

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 Senior Software Engineer Overview Dynamic Yield by Mastercard is looking for a Senior Backend Software Engineer to join the Shopping Muse team. Shopping Muse is an AI-powered shopping assistant that helps consumers discover products through natural language conversations, personalized recommendations, semantic search, and real-time decision making. As part of the team, you will build and scale backend services that power millions of shopping experiences across leading global brands. We are looking for an experienced engineer who enjoys solving complex technical challenges, designing distributed systems, and building reliable, high-performance services at scale. Role & Responsibilities Design, develop, and maintain backend services that power Shopping Muse and related AI-driven experiences. Build scalable APIs and microservices that support conversational commerce, product discovery, search, and recommendations. Design and optimize distributed systems with a strong focus on performance, reliability, and scalability. Work closely with frontend engineers, product managers, data scientists, and platform teams to deliver end-to-end solutions. Investigate production issues, analyze system behavior, and drive improvements across the platform. Lead technical initiatives to improve architecture, observability, performance, and operational excellence. Participate in technical design discussions and mentor other engineers. Drive engineering best practices, code quality, testing, and continuous improvement. Qualifications & Experience 4+ years of experience building backend systems in production environments. Strong proficiency in Python. Experience designing and operating distributed systems and microservices. Experience with cloud platforms such as AWS, GCP, or Azure. Experience with Docker and Kubernetes. Strong knowledge of databases and caching technologies such as MySQL, PostgreSQL, Redis, or similar technologies. Experience building and maintaining REST APIs and high-throughput services. Experience with monitoring, logging, and observability tools. Strong troubleshooting and problem-solving skills. Excellent communication and collaboration skills. Nice to Have Experience with search technologies such as Elasticsearch or OpenSearch. Experience working with recommendation systems, personalization platforms, or AI-powered products. Experience with large-scale, low-latency systems. Familiarity with LLMs, conversational AI, or agent-based architectures. Experience working in customer-facing SaaS environments. 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. Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.

Responsibilities

Design and maintain scalable backend services and APIs to power the AI-driven Shopping Muse assistant. Lead technical initiatives to improve system architecture, performance, and operational excellence while mentoring other engineers.