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العودة إلى نتائج البحث‎

Senior Software Engineer (Java full stack, mcp servers, AI engineering technologies, streaming platform)

قبل 20 ساعة 2026/10/03
خدمات الدعم التجاري الأخرى
أنشئ تنبيهًا وظيفيًا لوظائف مشابهة
تم إيقاف هذا التنبيه الوظيفي. لن تصلك إشعارات لهذا البحث بعد الآن.

الوصف الوظيفي

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 (Java full stack, mcp servers, AI engineering technologies, streaming platform)
All About Us
Mastercard is a technology company in the global payments business. We connect consumers, financial institutions, merchants, governments, and businesses worldwide, enabling them to use secure and convenient electronic forms of payment.
Join one of the world’s most innovative and engaged teams. Our employees are empowered to drive innovation every day in support of a more connected world — a world beyond cash.
Overview
The Mastercard Business Intelligence application development team leverages modern technologies to build scalable, data-driven solutions that deliver advanced analytics and reporting capabilities to a global customer base.
We collaborate closely with product partners and engineering teams to enhance existing platforms and deliver new solutions to market.
We are looking for a Full Stack Engineer (Hands-on Individual Contributor) with strong engineering fundamentals and a builder mindset. In this role, you will design, develop, and deliver production-grade systems with a focus on scalability, performance, security, and reliability.
Role – Key Responsibilities
In this role, you will:
Design, develop, and own Java-based backend services and REST APIs in a distributed architecture
Build and enhance UI applications using Angular and Node.js
Ensure high-quality code through reviews, testing (unit/integration), and automation
Drive engineering best practices, including clean architecture, performance optimization, and resiliency
Troubleshoot complex production issues and perform root cause analysis across systems
Collaborate with cross-functional teams to deliver high-quality, scalable solutions
Own delivery across the lifecycle: estimate and deliver design/dev/test/deploy/config/documentation work; automate build and run aspects of software.
Drive engineering excellence through code/test/automation reviews, adoption of standards and best practices, and pragmatic design trade-offs within the team.
Troubleshoot complex issues spanning services and AI components, applying strong problem-solving, triage, and root-cause discipline.
Mentor engineers via technical guidance and hands-on reviews (without people-management responsibilities), raising the bar on quality, operability, and AI readiness
All About You – Must-Have Skills
- Core Requirements (Non-Negotiable)
Strong hands-on experience in Java, Spring Boot, and REST APIs
Strong hands-on experience with Angular (2+) and Node.js
Experience building and maintaining scalable, production-grade applications
Knowledge and experience on working with mcp servers, AI engineering technologies, streaming
- Core Engineering Skills
Strong problem-solving and debugging skills in distributed systems
Solid understanding of software design principles and best practices
Experience in test-driven development (unit, integration testing)
Strong communication and ability to collaborate across teams
All About You – Nice-to-Have Skills
Experience with cloud platforms (PCF, Kubernetes, AWS, or Azure)
Exposure to CI/CD pipelines and DevOps practices
Experience with observability tools (e.g., Splunk, logging, monitoring)
Exposure to AI/ML systems or integrations with AI platforms (e.g., LLMs, Databricks)

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.








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