Lead Software Engineer-R-219687

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

Lead Software Engineer

Overview

We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. 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. We believe in connecting everyone to endless, priceless possibilities.

Our Team Within Mastercard – Data & Services

The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services.

Targeting Analytics Program

Within the D&S Technology Team, the Targeting Analytics program is a relatively new program that is comprised of a rich set of products that provide accurate perspectives on Credit Risk, Portfolio Optimization, and Ad Insights. Currently, we are enhancing our customer experience with new user interfaces, moving to API-based data publishing to allow for seamless integration in other Mastercard products and externally, utilizing new data sets and algorithms to further analytic capabilities, and generating scalable big data processes.

We are seeking an innovative Lead Software Engineer to lead our team in designing and building a full stack web application and data pipelines. The goal is to deliver custom analytics efficiently, leveraging machine learning and AI solutions. This individual will thrive in a fast-paced, agile environment and partner closely with other areas of the business to build and enhance solutions that drive value for our customers.

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.

Here are a few examples of products in our space:

Portfolio Optimizer (PO) is a solution that leverages Mastercard’s data assets and analytics to allow issuers to identify and increase revenue opportunities within their credit and debit portfolios.

Audiences uses anonymized and aggregated transaction insights to offer targeting segments that have high likelihood to make purchases within a category to allow for more effective campaign planning and activation.

Credit Risk products are a new suite of APIs and tooling to provide lenders real-time access to KPIs and insights serving thousands of clients to make smarter risk decisions using Mastercard data.

Help found a new, fast-growing engineering team!

Position Responsibilities

As a Lead Software Engineer, you will:

Lead the scoping, design and implementation of complex features

Lead and push the boundaries of analytics and powerful, scalable applications

Design and implement intuitive, responsive UIs that allow issuers to better understand data and analytics

Build and maintain analytics and data models to enable performant and scalable products

Ensure a high-quality code base by writing and reviewing performant, well-tested code

Mentor junior software engineers and teammates

Drive innovative improvements to team development processes

Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

Collaborate across teams with exceptional peers who are passionate about what they do

Ideal Candidate Qualifications

10+ years of engineering experience in an agile production environment.

Experience leading the design and implementation of complex features in full-stack applications.

Proficiency with object-oriented languages, preferably Java/ Spring.

Proficiency with modern front-end frameworks, preferably React with Redux, Typescript.

High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop)

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.

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.

Desirable Capabilities

Hands on experience of cloud native development using microservices.

Hands on experience on Kafka, Zookeeper.

Knowledge of Security concepts and protocol in enterprise application.

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

#AI3

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.
  
  
  

R-219687