The role involves leading AI/ML product engineering, designing scalable architecture, and implementing solutions across platforms while collaborating with teams and ensuring deployments at scale.
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
Director, Software Engineering
Lead Software Engineer
Mastercard is a global technology company behind the world's fastest payments processing network. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making payment and data 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 realize their greatest potential.
This position is for AI/ML product Engineering team. AI/ML Product engineering team leads enterprise AI/ML deployments across Mastercard platforms. The team is responsible for planning the implementation of solutions, choosing the right technologies, and evaluating the evolution of the architecture as the needs change.
For this team, Mastercard is seeking a Lead Engineer who is passionate about implementation of AI/ML assets across platform (on premise, on cloud, hybrid). The person would be working closely with Cyber and Business Intelligence business units.
Responsibilities -• Responsible for modern architecture-based deployment for AI/Machine Learning solutions, products.• Leading technical discussions with other engineering teams and partners across organization, cross functions to design quality architecture for AI/ML model deployments or serving.• Define deployment strategy and infrastructure for models and be responsible to ensure model development is deployable at scale.• Leading development of scalable AI/ML products for markets.
Experiences -
• Hands on experience with Spring Boot based application development & deployment• Hands on experience with webservices & REST API development, data access patterns using Java Technologies and frameworks• Good working knowledge on Multithreading & Concurrency• Must have project experience using Microservices architecture • Good to have working knowledge of Kubernetes based products and applications • Good working knowledge of NoSQL DB - Cassandra preferably / MongoDB • Good understanding of application HA, load balancing & reliability understanding of Application software architecture • Nice to have some development experience in Python based AI/ML workloads• Proficiency with cloud technologies (IaaS, PaaS, serverless technology) micro-service design, CI/CD, DevOps• Excellent communication/presentation skills
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:
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
Director, Software Engineering
Lead Software Engineer
Mastercard is a global technology company behind the world's fastest payments processing network. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making payment and data 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 realize their greatest potential.
This position is for AI/ML product Engineering team. AI/ML Product engineering team leads enterprise AI/ML deployments across Mastercard platforms. The team is responsible for planning the implementation of solutions, choosing the right technologies, and evaluating the evolution of the architecture as the needs change.
For this team, Mastercard is seeking a Lead Engineer who is passionate about implementation of AI/ML assets across platform (on premise, on cloud, hybrid). The person would be working closely with Cyber and Business Intelligence business units.
Responsibilities -• Responsible for modern architecture-based deployment for AI/Machine Learning solutions, products.• Leading technical discussions with other engineering teams and partners across organization, cross functions to design quality architecture for AI/ML model deployments or serving.• Define deployment strategy and infrastructure for models and be responsible to ensure model development is deployable at scale.• Leading development of scalable AI/ML products for markets.
Experiences -
• Hands on experience with Spring Boot based application development & deployment• Hands on experience with webservices & REST API development, data access patterns using Java Technologies and frameworks• Good working knowledge on Multithreading & Concurrency• Must have project experience using Microservices architecture • Good to have working knowledge of Kubernetes based products and applications • Good working knowledge of NoSQL DB - Cassandra preferably / MongoDB • Good understanding of application HA, load balancing & reliability understanding of Application software architecture • Nice to have some development experience in Python based AI/ML workloads• Proficiency with cloud technologies (IaaS, PaaS, serverless technology) micro-service design, CI/CD, DevOps• Excellent communication/presentation skills
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.
Top Skills
Cassandra
Ci/Cd
Cloud Technologies
DevOps
Java
Kubernetes
Microservices
MongoDB
NoSQL
Python
Spring Boot
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
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