Software Engineer II

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

Overview:
Mastercard Services enables customers across industries and geographies to make smarter decisions and reach better outcomes with a tailored portfolio of solutions beyond the transaction. If you thrive in a fast-paced, agile environment, value creativity and technical excellence, and are eager to make a meaningful impact, this is the role for you.

The Services global product team is seeking a Software Engineer to accelerate the development of Payments AI solutions within the Data, Analytics, and AI product suite. The goal of the Payments AI Solutions team is to build AI products that drive Smarter Decisions and Better Outcomes for customers, applying AI responsibly, and leveraging in-house and 3rd party assets and capabilities effectively to maximize ROI for the program.

Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects.

Position Responsibilities:

As a Software Engineer, you will:
Work as a member of an agile team to design, build, test, and deploy new products and features
Produce high quality code while employing community accepted testing principles, best practices, and tooling
Able to troubleshoot and refactor existing code
Adopt new languages and architecture patterns needed for the work
Conduct peer code reviews, providing feedback around logical implementation, and best practice improvement opportunities around patterns, algorithms, library usage, etc. 
Push for better development practices, better code, better solutions
Proactively understand stakeholder needs, goals, expectations and viewpoints to deliver results

Ideal Candidate Qualifications:
Proficiency with object-oriented languages, preferably Java/ Spring, alternatively C#
Proficiency with modern front-end frameworks, preferably React with Redux, Typescript.
Experience with designing and implementing complex features in full-stack applications.
Fluent in the use of Git, Jenkins.
Solid experience with RESTful APIs and JSON/SOAP based API.
Solid experience with SQL, Multi-threading, Message Queuing.
Hands-on experience with Python or Scala is preferred, as well as expertise in Hadoop platforms and related tools.
Experience in building and deploying production-level data-driven applications and data processing. workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases.
Data engineering or data science background with strong understanding of data pipelines, architecture, infrastructure, and management.

Desirable Capabilities :
Experience with cloud native development using microservices.
Experience with Kafka, Zookeeper.
Knowledge of enterprise application security protocols and concepts.
Expertise with automated E2E and unit testing frameworks.
Knowledge of Splunk or other alerting and monitoring solutions.

Core Competencies:
Strong technologist eager to learn new technologies and frameworks.
Experience coaching and mentoring junior teammates.
Customer-centric development approach
Passion for analytical / quantitative problem solving
Ability to identify and implement improvements to team development processes
Strong collaboration skills with experience collaborating across many people, roles, and geographies
Motivation, creativity, self-direction, and desire to thrive on small project teams
Superior academic record with a degree in Computer Science or related technical field
Strong written and verbal English communication 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.