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Mastercard

Senior Software Engineer

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay $105K - 200K a year · our estimate

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Description

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

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.

The Business Rules Engineering & Strategy team is looking for a Senior Software Engineer to drive forth our mission of building robust IBM ODM Rule solutions that provide transaction-level decisions, alerting and notifications. Business Rules embed intelligence into the transactional cycle by leveraging scoring models, cohesive rule strategies and behavioural data, and when combined with our agile rule development & deployment capabilities, results in a competitive advantage for all stakeholders, in the entire payment ecosystem.

Role

Proven experience in the modernization of platforms, especially related to Fraud Rules/Engines and large-scale migrations

Experience building and operating scalable global platforms with high throughput, low latency, with 5 9’s availability

Hands-on experience with Fraud Rules Engines as Rule Author

AI experience is focused on using AI-assisted development tools

Familiarity with AI technologies like Gen AI, LLMs relevant to Fraud Rules

Follow solution architectural designs and ensure they are aligned with business needs, infrastructure capabilities, and security & compliance requirements

Be the driving force with the implementation of best practices and strong experience with writing rules

Familiarity with Programming Languages like Java, Python, GO

Be the force multiplier for automations and enhancements

All About You

Minimum bachelor’s degree in information technology, Computer Science or extensive work experience.

Hands-on Software development experience and familiar with DevOps and IT Operations best practices.

Experience with Fraud Rule Engines and proven experience in large-scale migrations

Working experience across 1 or 2 programming languages and frameworks, love declarative paradigm and functional programming

Must be high-energy, detail-oriented and proactive with the ability to function under pressure in an independent environment.

Have a passion for continuous learning and enjoy challenging opportunities.

Strong communication skills – both verbal and written – with strong relationship building, collaborative skills and organizational skills.

Drives outcomes through strong commitment to timely delivery of key objectives.

Have strong decision-making skills and continually improve as a result.

Must have solid experience with software development processes and be an experienced user of one or more Application Lifecycle Management tools.

Financial Domain preferable Banking Domain

Success with producing high-quality project design deliverables and documentation

Extensive experience with databases: Relational & NoSQL

Understanding of loosely coupled and stateless systems

Demonstrated track record with AI

Familiarity with performance tuning, automation

Mastercard is a merit-based, 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. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonableaccommodation@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 Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program.

Conditions

Vancouver, Canada: $111,000 - $160,000 CAD

Where you’d work

From the office

About the company

Mastercard

  • Industry: FinTech

Office in Vancouver, Canada

Also hiring in Dublin, Ireland, United States, New York, United States and 27 more places

4 of their 251 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 3 red flags

Still hiring?

13 checks

2 red flags

How crowded?

6 checks

1 red flag

Fits Me

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • Java
  • LLMs
Seniority
Senior
Type
Full-time
Industry
FinTech
Specialty
Backend
Region
Canada
Show 6 more factsShow less

Role

Category
Development
Specialty
Backend
Seniority
Senior
Experience
6+ years
Tech stack
  • Python
  • Java
  • LLMs

Location

Work model
Office
Region
Canada
Office
  • Vancouver, Canada

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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