Lead Software Engineer: AI-Driven Fraud Platforms (Java/Python/Go)

Mastercard; Bray (OK); On-site; USD 140,000 - 190,000; Full time

Job summary

Mastercard is a global technology company in the payments industry seeking a Lead Software Engineer to drive modernization of fraud rules engines and large-scale migrations. You will collaborate with cross-functional teams to design secure, scalable solutions and mentor engineers across multiple languages.

The role emphasizes engineering excellence, hands-on development in Go, Python, and Java, and delivering high-availability platforms with strong security and operational discipline.

Qualifications

• Minimum bachelor's degree in information technology, Computer Science or extensive work experience.
• Can write high quality, secure and clean code in multiple programming languages (e.g., Go, Python, Java)
• Hands-on Software development experience. 8+ years in Software and micro-services architecture. Familiar with dev ops and IT Operations best practices.
• Strategic Leader who has expertise with Fraud Rule Engines and proven experience in large-scale migrations
• Be a bar raiser with working experience across a variety of languages and frameworks, love declarative paradigm and functional programming
• Hands-on technical leader who consistently demonstratesleadership,builds trust, focuses on talent development and inspires the team.
• 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, lead retrospection and continually improve as a result.
• Must have expert level knowledge of software development processes and be an experienced user of one or more Application Lifecycle Management tools.
• Financial Domain preferable Banking Domain
• Current understanding of best practices regarding application & system security
• 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 highly scalable, distributed systems
• Familiarity with performance tuning, designing for failure & automation

Responsibilities

• Lead the modernization of platforms especially related to Fraud Rules/Engines and proven experience in large-scale migrations
• Collaborate, influence and work with cross functional teams to understand the requirements, identify solutions and provide technical thought leadership
• Ensure project implementation(s) are compliant with solution architectural design, established architectural patterns (where applicable), policies, standards, and best practices
• Ensure that solution architectural designs are aligned with business needs, infrastructure capabilities, and security & compliance requirements
• Drive a culture of engineering excellence - Leading software development projects, especially at an early stage(PoC, Pilot)
• Assist with project scoping, sizing, prioritizing, planning, and estimation
• Mentor development team on industry best practices
• Familiarity with AI technologies like Gen AI, LLMs relevant to Fraud Rules
• Hands on experience implementing design patterns and using multiple programming languages.
• Experience building and operating scalable global platforms with highthroughput, low latency with 5 9's availability

Skills

Go

Python

Java

Distributed systems

Leadership

Education

Bachelor's degree or extensive work experience

Job description

Mastercard is a global technology company in the payments industry seeking a Lead Software Engineer to drive modernization of fraud rules engines and large-scale migrations. You will collaborate with cross-functional teams to design secure, scalable solutions and mentor engineers across multiple languages.

The role emphasizes engineering excellence, hands-on development in Go, Python, and Java, and delivering high-availability platforms with strong security and operational discipline.