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 Engineer

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

Ekata, a Mastercard company, is the global standard in identity verification, providing businesses worldwide the ability to link any digital transaction to the human behind it. Our Ekata Identity Network, the first and only of its kind, uses complex machine learning to combine features derived from the billions of transactions within our proprietary network and the data from our graph to deliver industry leading risk assessment solutions.

Graph & Tools team is looking for a Lead Software Engineer who thrives on designing, coding, and maintaining large data processing systems, primarily in the Spark framework using Scala. Our ideal candidate will understand the challenges of working with data at scale and have a firm knowledge of algorithms and processing complexity.

Our team is a mix of software engineers and data analysts working to ensure our inputs, algorithms, and publishing artifacts are of the highest quality and efficiency. Our output is critical to the accuracy of our Risk Analysis APIs which power top e-commerce sites. Constant improvement and innovation are designed into our process. Your ability to learn and grow will be recognized and rewarded.

As a Lead Software Engineer for our Graph and Tools Team, you will:

\t• Design and develop our big data processing systems using Apache Spark and related technologies.
\t• Increase the capabilities and efficiency of our data processing pipeline. Investigate problems when they occur and develop solutions.
\t• Has deep understanding of Apache Spark and its internals to continually optimize our computations for runtime and cost efficiency.
\t• Design secure, reliable, high availability, scalable solutions for the Product
\t• Identify technical and process gaps, provide estimates for business solutions, define the initial scope/requirements of the project, and manage the scope during the lifecycle of the project
\t• Insist on the highest coding standards, follow and create best practices for clean code and architecture.
\t• Manage a sense of urgency and risks on project timelines and propose creative strategies for delivering constant business value.
\t• Impact system architecture and improve overall system efficiency with growing business needs.
\t• Participate and contribute to team’s agile process and decisions. Understand and contribute to Prioritization. Drive prioritization decisions and trade-offs in working with product partners
\t• Develop documentation templates, lead and enforce development of documentation throughout the development lifecycle of the solution.
\t• Provide mentorship and hold system overview sessions.
\t• Collaborate with software engineers, test engineers, TPMs, and PM-Ts

Our ideal Lead Software Engineer will have:

\t• Proven experience as a software engineer and executing full software development lifecycle (SDLC)
\t• Has the ability to write secure code in Scala, Python and/or Java
\t• Experience with the Apache Spark ecosystem in a production environment
\t• Experience working with AWS, Databricks, Redis and/or similar platforms
\t• Sound understanding of functional (preferred) or object-oriented programming, data-oriented programming, languages, algorithms, data structures
\t• Ability to quickly learn and implement new technologies, languages, frameworks, tools and support multiple concurrent activities
\t• Self-motivation and ability to deliver on multiple competing priorities with little supervision
\t• Ability to write clean, readable, and maintainable code that follows best practices
\t• Passion for diving deep in data and insights
• Strong communication skills -- both verbal and written, collaboration skills and organizational skills


Total Base Pay Range
159,000.00 - 254,000.00 USD Annual

Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

Pay Ranges

Seattle, Washington: $159,000 - $254,000 USD