Job Title:
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:
1. Work as a member of an agile team to design, build, test, and deploy new products and features
2. Produce high quality code while employing community accepted testing principles, best practices, and tooling
3. Able to troubleshoot and refactor existing code
4. Adopt new languages and architecture patterns needed for the work
5. Conduct peer code reviews, providing feedback around logical implementation, and best practice improvement opportunities around patterns, algorithms, library usage, etc.
6. Push for better development practices, better code, better solutions
7. 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
#J-18808-Ljbffr