Description
Mastercard is seeking a Senior Software Engineer to join their Services team, which delivers cutting-edge solutions to help customers grow. As a Senior Software Engineer within BE&O, you will build innovative products that help businesses unlock more value from their data.
Responsibilities:
- Lead team level system design, including high-level design, detailed design, API contracts, data flows, service interactions, integration patterns, and non-functional requirements.
- 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.
- Develop, 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.
- 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 mid-level 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.
Ideal qualifications include:
- 6+ years of software engineering experience delivering scalable, high-performance, and reliable software in an agile environment.
- Strong hands-on experience designing and building distributed systems, microservices, RESTful APIs, and cloud-native applications.
- Strong programming experience with modern engineering stacks such as Java/Spring Boot, TypeScript/React, SQL, and related frameworks and technologies.
- Experience with Python, Databricks, Spark, or PySpark is highly desirable.
- 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.