Senior Software Engineer
Posted Updated
- Within the D&S Technology Team, the Advance Analytics program is a 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 looking for an innovative software engineering manager who will lead the team responsible for the design and build of a full stack web application and data pipelines, and thrive in a fast-paced, agile environment. This individual will 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
- As a Senior Software Engineer, you will:
- Participate in scoping, design and implementation of complex features
- Delivery First time right scalable solution to push the boundaries of analytics applications
- Design and implement intuitive, responsive UIs that allow issuers/acquirer’s/fintech’s 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
- Experience working with cross regional Product - Tech Team’s
- Strong written and verbal English communication skills
- Strong technologist eager to learn new technologies and frameworks
- Solid experience with RESTful APIs and JSON/SOAP based API
- Ability to identify and implement improvements to team development processes
- Fluent in the use of Git, Jenkins
- Customer-centric development approach
- Proficiency with Java , Spring Boot , JPA , React, Redux, Typescript,
- Experience with Design Patterns
- Experience with SQL, Multi-threading, Message Queuing & Distributed Systems
- Good to have .NET/C# and Python
- Superior academic record with a degree in Computer Science or related technical field
- Knowledge of cloud native development such as cloud foundry, AWS, etc
- 8+ years of full stack engineering experience in an agile production environment
- Motivation, creativity, self-direction, and desire to thrive on small project teams
- Passion for analytical / quantitative problem solving
- Experience in design and implementation of complex features in full-stack applications
- Expertise in Nunit/Junit or other automated unit testing frameworks
- Strong collaboration skills with experience collaborating across many people, roles, and geographies
- Knowledge of Splunk or other alerting and monitoring solutions