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

Software Engineer II

Overviewwe offer a hybrid work environment including work from anywhere weeks as per Mastercard policy. Team and Tech Hub events such as in and out of office games, sport teams, hackathons, lunch n learns, regular office lunches and other events. Don’t forget the competitive salary, extended health benefits, flex-time schedules, and encouragement and support for professional development.Role & Responsibilities: Work as part of a Scrum team that is geographically diverse (US west coast and central Europe) Implement and maintain a robust and high-reliable signal calculation pipeline (feature store) which fulfills the needs of Data Science across the org As part of a team with end-to-end responsibility, daily activities include analysis, design, development, test design and automation, deployment and maintenance Propose comprehensive solutions, write and review design documentations, estimate and plan the engineering work Understand and adhere to Mastercard standards, processes, and best practices All About You: Demonstrated backend software development experience in a professional development team setting Experience with Spark and with preferably Scala knowledge or any similar big data technologies Experience working with cloud native server environments (as a rule of thumb, min 2y+ AWS) Knowledge of unit and automated testing frameworks, CI/CD pipeline and source control systems Possess strong communication skills in English -- both verbal and written – and strong collaborative and organizational skills Willingness and ability to learn Open to work in shifted working hours (until 18:30 ~3 times per week) Helpful to have: ML pipeline experience Experience with Databricks Experience with scaling ETL systems Experience with monitoring tools and supporting high customer traffic APIs (Grafana, Prometheus) Experience writing automated acceptance tests (used in CI/CD pipelines) Experience with SQL and NoSQL databases, and messaging (Redis, ElastiCache, DynamoDB, S3, Kinesis, Kafka) Experience with cloud-based technologies (AWS, Docker, K8S, Terraform) Experience working in a CI/CD environment (Jenkins) Experience with Confluence and JIRA Education / Experience: Broad understanding of software engineering craftsmanship is required. Bachelor's degree in Information Systems, Information Technology, Computer Science or Engineering or equivalent work experience. Experience in delivering secure solutions in Financial / Fraud Services Sector is helpful to have.

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.