Manager, Software Engineering
Mastercard View all jobs
- Pune, Maharashtra
- Permanent
- Full-time
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 Manager, Software Engineering, you will:
- Manage, coach, and develop a cross-functional engineering team
- Provide strategic technical and product direction for applications, architectures, and software development processes
- Design and develop new, complex technical products from inception to release
- Partner with product development on the product roadmap, scoping features, and planning releases
- Champion technical innovation and high quality within the team
- Collaborate across teams and business units to solve complex problems
- Lead goal setting and accountability practices within the engineering team
- Continuously experiment and innovate to develop a high performing engineering team
- Be a strong individual contributor to the implementation efforts of product solutions
- Lead with an agile mindset and pivot fast and often as new information surfaces
- Keep senior stakeholders informed of progress and incorporate input into technical decisions
- Identify short term and long-term engineering needs to scale platform solutions to meet customer demand
- 12+ years of full stack engineering experience in an agile production environment
- Experience leading engineering teams and/or coaching and mentoring junior teammates
- Experience leading the design and implementation of large, complex features in full-stack applications
- Experience leading a large technical effort that spans multiple people and teams
- .NET/C#/Java, React, Redux, Typescript, and SQL Server or other object-oriented languages, front-end frameworks, and/or relational database technologies
- Good to have knowledge of Spring Boot,
- Strong technologist with proven track record of learning new technologies and frameworks
- Customer-centric development approach
- Passion for analytical / quantitative problem solving
- Experience identifying and implementing technical improvements to development processes
- Collaboration skills with experience working with people across 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