Senior Software Engineer
Posted Updated
- The Services team is a key differentiator for Mastercard, delivering cutting-edge solutions that help our customers grow. Focused on thinking big and scaling rapidly across the globe, this team is responsible for end-to-end solutions for a diverse, global customer base
- We combine traditional management consulting with rich data assets and in-house technology to provide clients with powerful insights and tools that drive fact-based decision-making
- Centered on data-driven technologies and innovation, our services include consulting, loyalty and marketing programs, business experimentation, and data-informed information and risk management
- While specializing in the payments industry, Mastercard Services also partners closely with major retailers, airlines, and other enterprises, leveraging insights drawn from both within and beyond our network
- We are seeking passionate and talented technologists who share our vision of empowering customers to make smarter, data-driven decisions. Join us and help shape the future growth of our team
- As a part of Mastercard Services, you will build innovative products that help businesses around the world unlock more value from their data. As a Senior Software Engineer within BE&O, you will contribute to full-stack, data-intensive, analytics-driven applications that support sophisticated business experimentation and decision-making for some of the world’s largest organizations. You will:
- Lead team level system design, including high level design, detailed design, API contracts, data flows, service interactions, integration patterns, and nonfunctional requirements such as scalability, reliability, performance, security, and operability
- Partner with lead engineers and architects to align team level implementations with broader platform architecture, modernization goals, engineering standards, and long term maintainability
- Develop and optimize data intensive applications and analytics capabilities using Databricks, Spark, and related technologies to process and deliver data at scale
- Develop, and deploy AI-powered products, intelligent agents, and agentic workflows utilizing Large Language Models (LLMs), retrieval systems, orchestration frameworks, tool-calling patterns, and context-aware workflows
- Implement advanced agentic systems incorporating planning, reasoning loops, memory management, grounding, evaluation frameworks, safety mechanisms, and human-in-the-loop controls
- Identify and resolve performance bottlenecks across services, APIs, data processing workloads, and user experiences
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions
- Mentor junior and midlevel engineers through technical guidance, pairing, code reviews, design feedback, documentation, and knowledge sharing
- Contribute to a collaborative engineering culture by modeling ownership, clear communication, continuous learning, pragmatic decision making, and high standards for software quality
- Improve engineering quality through code reviews, design reviews, automated testing, secure coding practices, observability, performance tuning, CI/CD practices, and production readiness
- Troubleshoot complex issues across application, service, API, data, and cloud layers, driving root cause analysis and implementing durable solutions that improve platform reliability and supportability
- 6+ years of software engineering experience delivering scalable, high performance, and reliable software in an agile environment
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience; an advanced degree is a plus
- Strong collaboration and communication skills, with the ability to work effectively across cross-functional teams
- Strong problem solving skills with the ability to work through ambiguity, make sound technical decisions, and drive results through hands on execution
- Experience with Python, Databricks, Spark, or PySpark is highly desirable, particularly for working with data pipelines and analytics driven applications
- Strong programming experience with modern engineering stacks such as Java/Spring Boot, TypeScript/React, SQL, and related frameworks and technologies
- Demonstrated ability to lead team level design discussions, evaluate technical tradeoffs, and guide implementation through technical influence
- Experience building or supporting cloud native applications on AWS and/or Azure, with familiarity in CI/CD, containerization, Kubernetes, observability, automated testing, and production support practices
- Strong hands on experience designing and building distributed systems, microservices, RESTful APIs, and cloud native applications
- Ability to translate product and business needs into scalable, secure, and maintainable technical solutions