MastercardLead Software Engineer
Mastercard is hiring a Lead Software Engineer in Dublin, Ireland. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions API and Big Data among its tools and skills.
- Level classes it as a lead role.
- Mastercard has 1,000+ other open roles on Level.
AI in this role
Lead Software Engineer managing the design and build of full stack web applications and data pipelines for advanced analytics.
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 EngineerOverviewWe 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 – Services within Mastercard:
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.
Advance Analytics Program:
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.
Help found a new, fast-growing engineering team!
Position Responsibilities:
As a Lead 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
Ideal Candidate Qualifications:
• 10+ 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
• Java, Spring Boot , React, Redux, Typescript, and SQL Server/PG SQL or other object-oriented languages, front-end frameworks, and/or relational database technologies
• Good to have knowledge of .Net , C# and Python,
• 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
• Strong written and verbal English communication skills
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.
How we rate this
Lead Software Engineer at Mastercard rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- What's a project where you used API hands-on?
- Walk me through how you've used Big Data in your day-to-day work.
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- List these exact terms on your resume: API and Big Data. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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