Senior Software Engineer

Overview

The ADUEX Engineering organization is central to Mastercard’s growth strategy, delivering scalable, secure, and innovative solutions that empower small and medium businesses globally. Join a lean, high‑impact engineering team to build scalable cloud‑native software solutions from the ground up, solving complex technical problems at scale.

This role is ideal for a Senior Software Engineer who thrives in complex environments, takes ownership of system design and quality, and consistently applies advanced engineering practices to ensure reliable, high performing, and secure systems.

As a Senior Software Engineer, you will act as a technical owner and key contributor across the full software lifecycle, from architecture and design through production operations.

• Design and evolve scalable, maintainable, and secure software solutions, translating business and technical requirements into well‑structured system designs.
• Contribute to and influence architecture decisions, defining patterns, standards, and best practices for APIs, event‑driven systems, microservices, and cloud‑native platforms.
• Evaluate technical trade‑offs and guide design decisions that ensure long‑term system sustainability.
• Independently design, build, test, deploy, and maintain high‑quality software components and services.
• Apply advanced data structures and algorithms to solve complex problems efficiently and optimize system behavior.
• Lead and participate in code reviews, ensuring high standards for readability, maintainability, performance, and security.
• Coach and mentor peers through technical feedback, pairing, and informal guidance.
• Proactively analyze and optimize application and system performance, scalability, and reliability.
• Design and execute performance, load, and stress testing strategies; identify bottlenecks and drive tuning across application, data, and infrastructure layers.
• Define and maintain comprehensive unit, functional, and integration testing strategies; promote test automation and quality gates.
• Ensure systems behave predictably under normal and peak workloads.
• Design systems with operational readiness in mind, including observability, logging, monitoring, alerting, and resilience.
• Take ownership of production health within owned areas, participate in incident diagnosis, root‑cause analysis, and preventive improvements.
• Continuously improve reliability, maintainability, and supportability throughout the system lifecycle.
• Apply secure coding practices and adhere to Mastercard security standards and industry frameworks (e.g., OWASP, CWE).
• Ensure vulnerabilities are proactively identified and mitigated using automated tooling and secure design principles.
• Partner with Product, Architecture, Site Reliability, and Security teams to deliver aligned solutions; influence team decisions with data‑driven recommendations.
• Contribute to engineering communities, guilds, and knowledge‑sharing initiatives across Mastercard.

• Proficiency in Python/Type Script; hands‑on experience building agentic frameworks.
• Strong experience with modern web stacks, including Angular and React, and with JavaScript/Type Script and Node.js / Java microservices.
• Proven backend development experience in Java;
  Spring Boot familiarity preferred.
• Solid understanding of data structures, algorithms, and performance optimization techniques.
• Hands‑on experience building and operating cloud‑native systems (AWS/Azure), including APIs, event‑driven services, and distributed data stores (SQL, key‑value, or document stores).
• Proven expertise in secure coding practices and use of static and dynamic security analysis tools (e.g., Sonar, Checkmarx).
• Strong experience with Git‑based workflows, branching strategies, and leading effective peer code reviews.
• Experience designing, implementing, and maintaining unit, service, and integration tests.
• Experience analyzing and troubleshooting issues across applications and production environments.
• Deep understanding of modern SDLC methodologies (Scrum, Kanban, SAFe) and when to apply them; experience with CI/CD pipelines, automation, and containerized deployments.
• Familiarity with observability tools and…