Job title: Senior Software Development Engineer

Company: Mastercard

Job description: Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Job Title

Senior Software Development 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 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.

Help found a new, fast-growing engineering team!

Role
**Design applications and processes which ingest multiple data pipelines and processes from manipulating large complex datasets
**Build high value analytics off large data sets while keeping performance top of mind
**Evolve existing processes to automate and scale the infrastructure to handle an increase in data volume and user base as we scale globally
**Leverage new technologies and approaches to innovating with increasingly large data sets
**Collaborate across teams with exceptional peers who are passionate about what they do
**Assist in Leading the development team and serve as a technical resource for team members
**Mentor the team and provide guidance to improve on the quality of product development
**Collaborate with key stakeholders to bring a data based technical perspective to roadmap and business decisions for the improvement of our products
**Lead and push the boundaries of analytics and powerful, scalable applications
**Bring a focus on high-quality code and development best practices

All about you / Ideal Candidate Qualifications
**Proficiency in OOP/OOAD with Java JDK 8 or higher.
**Knowledge of Tomcat, Spring Boot, Spring Security, Maven, Hibernate / JPA, REST, microservices.
**Solid experience with RESTful APIs and JSON/SOAP based API with Java.
**Experience with SQL, Multi-threading, Message Queuing & Distributed Systems.
**Experience with Design Patterns.
**Expertise in Junit or other automated unit testing frameworks.
**Knowledge of Splunk or other alerting and monitoring solutions.
**Fluent in the use of Git, Jenkins.
**Ability to define & implement best practices with Continuous Delivery / Deployment pipelines.
**Knowledge of cloud native development such as cloud foundry, AWS, etc.
**Knowledge of Source Control Management and working with code in a multi- developer distributed environment.
**Must be detail-oriented and proactive with the ability to function under pressure in an independent environment.
**Strong communication skills — both verbal and written – with strong relationship, collaborative skills, and organizational skills.
**Ability to work as a member of matrix based diverse and geographically distributed project team

Mastercard is an equal opportunity employer that values diversity and inclusion. Applicants will be considered and treated without regard to gender, gender identity, race, color, ethnicity, national origin, religion, sexual orientation, veteran or disabled status, or any other characteristic protected by applicable law

COVID-19 Considerations

We value the safety of each member of our community because we know we’re all in this together. In many locations, which may change over time, we’ve implemented a virtual hiring process and continue to interview candidates by video or phone. In addition, in some locations, only individuals who have been fully vaccinated will be permitted inside Mastercard offices until further notice.

In the US, Mastercard is a government contractor, which may legally require most Mastercard employees to be vaccinated unless a verified approved medical or religious exemption is granted. Further, we are currently making every effort towards having employees return to work in the office 2 days per week, if that makes sense for their team. Everyone must be vaccinated to enter Mastercard offices at this time. Therefore, we expect all candidates to be vaccinated or to be approved for a medical or religious accommodation prior to commencing work at Mastercard.

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.

Expected salary:

Location: Pune, Maharashtra

Job date: Fri, 10 Jun 2022 00:00:22 GMT

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