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Mastercard

Software Engineer II-1

Mastercard

Published 26 Mar 2026
Dublin, Ireland
Full Time
Freelancer

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Role Highlights

Languages used

Key skills

Data Science
Generative AI
Computer Science
API
Product Management
Full Stack
Code Reviews
Relational Database
System Design
Information Security
Clean Code
Optimization
Architecture
Cloud
Agile
Backend
Testing
QA
Microservices
Deployment

Tools, Libraries and Frameworks

Rest
DataBricks
AWS
Azure
Docker
Kubernetes
PySpark

Description

\\\\Our Purpose\\\\ \Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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-1 The Business Experimentation and Optimization (BE&O) teams within Mastercards Services organization are building industry-leading software that empowers business users around the world to make data-driven decisions through advanced analytics and experimentation. As we expand our product offerings and modernize our technology stack, we are reimagining how we deliver scalable, cloud-native solutions to our clients. We are seeking a technically strong Software Development Engineer to contribute to the architecture, design, and development of our next-generation experimentation platform. In this role, you will work closely with other team members to help implement and evolve system designs, ensuring solutions meet high engineering standards. You will build and enhance scalable services, APIs, and analytical capabilities that power the platform, leveraging technologies such as Databricks and cloud platforms including AWS and Azure. This role involves close collaboration with your immediate team as well as other development teams across programs to align on shared goals, contribute to cross-cutting initiatives, and deliver cohesive, enterprise-grade solutions. You will participate in design and code reviews, contribute to engineering best practices, and support operational excellence. You will work effectively across global time zones, contribute to a strong engineering culture, and continuously grow your technical skills while helping the team deliver reliable, high-quality software. Our teams are small, agile, and empowered to choose the processes that work best for their goals. Every engineer contributes to the full development lifecyclefrom ideation and design to implementation and testingfostering a culture of ownership, innovation, and continuous improvement. We are seeking passionate and talented engineers who share our vision of empowering customers to make smarter, data-driven decisions. Join us and help shape the future growth of our team. Position Responsibilities: At Mastercard Services, you will work with talented teams to develop cutting-edge, analytics-driven products that help businesses worldwide seize the most value from their data. As a Software Development Engineer II, you will: Design, build, and enhance cloud-native services and modern frameworks that support data-driven decision-making for some of the worlds largest organizations. Develop scalable, high-quality applications and services, contributing to APIs and backend systems deployed on AWS or Azure cloud infrastructure. Collaborate with senior engineers and architects to implement and evolve technical designs, applying modern architectural patterns and technologies to continuously improve product capabilities. Contribute to the development and modernization of web-based data and analytics applications, helping improve performance, scalability, reliability, and maintainability as the platform grows. Participate in design and code reviews, applying best engineering practices (clean code, testing, security, performance) and continuously improving code quality and system robustness. Work closely with cross-functional partnersincluding Product Management, QA, and Data Scienceto translate functional requirements into well-designed, scalable technical solutions. Support the modernization and optimization of existing systems, including contributions to service-based architectures and cloud scalability efforts to support increasing data volumes and user demand. Collaborate effectively with globally distributed teams, demonstrating strong communication skills and a team-first mindset in a fast-paced, agile environment. Ideal Candidate Qualifications: 2+ years strong full-stack software engineering experience in an agile development environment, with experience building and supporting production-grade applications. Hands-on experience developing microservices and RESTful APIs, along with working knowledge of relational databases and distributed data stores. Experience with cloud platforms (AWS and/or Azure) and modern deployment practices, including containerization (e.g., Docker) and familiarity with orchestration tools (e.g., Kubernetes). Experience working with data and analytics platforms, such as Databricks and Spark (or PySpark), for building or consuming data pipelines and analytical workloads. Ability to collaborate with Product and Engineering partners to understand requirements and contribute to technical design discussions, balancing functional and non-functional considerations. Exposure to Generative AI (GenAI) concepts or applications within software products or the development lifecycle is a plus. Demonstrated ability to learn new domains quickly, contribute independently to complex codebases, and deliver high-quality solutions with guidance from senior engineers. Strong problem-solving, communication, and collaboration skills, with experience working across teams and time zones. Self-motivated and adaptable, with the ability to thrive in a dynamic, fast-paced environment while continuously improving technical skills. Bachelors degree in Computer Science or a related field (or equivalent practical experience) with a solid foundation in software engineering fundamentals. Who is Mastercard? Mastercard is the global technology company behind the worlds fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, and a technology innovation lab. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. Mastercard is an equal opportunity employer that values diversity and inclusion. Applicants will be considered and treated without regard to gender, gender identity, race, color, ethnicity, national origin, religion, sexual orientation, veteran or disabled status, or any other characteristic protected by applicable law. \\\\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 Mastercards 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 Mastercards guidelines.

Required Qualifications and Skills

The role requires at least two years of strong full-stack software engineering experience in an agile development environment, with a proven track record of building and supporting production-grade applications. Hands-on experience with microservices and RESTful APIs, along with working knowledge of relational databases and distributed data stores, is necessary. Familiarity with cloud platforms such as AWS and/or Azure, modern deployment practices including containerization with Docker, and orchestration tools like Kubernetes is expected. Experience with data and analytics platforms like Databricks and Spark (or PySpark) for building or consuming data pipelines and analytical workloads is also required. A Bachelor's degree in Computer Science or a related field, or equivalent practical experience, with a solid foundation in software engineering fundamentals, is a necessary qualification.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Mastercard

Size

38185

HQ

Purchase, US

Description

MasterCard is framed as a technology company in the global payments business, emphasizing its role in connecting various stakeholders worldwide and enabling the use of secure and convenient electronic forms of payment. It describes its mission as working to connect and power an inclusive digital economy that benefits everyone everywhere by ensuring transactions are safe, simple, smart, and accessible. The company culture is driven by a decency quotient (DQ), cultivating an inclusive environment that values individual strengths, views, and experiences. It leverages secure data, networks, partnerships, and a passion for innovation to support various entities, including individuals, financial institutions, governments, and businesses, in realizing their potential.

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