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Tier-1 brand, metro location, and generalist backend lead title attract many qualified applicants.
Backend and data engineering skills transfer well, though experimentation/payments domain adds some bias.
Explicit 8+ years requirement plus mandatory cloud, Databricks/Spark, Kubernetes, and architecture leadership.
Lead architecture, design, and hands-on development of Mastercard’s next-generation experimentation and analytics platform focused on scalable, cloud-native, and data-intensive solutions.
Define and drive technical strategy for modernization and cloud adoption, including evolving legacy systems to service-oriented architectures using AWS, Azure, Databricks, and related technologies.
Mentor engineers and coordinate technical execution across globally distributed teams to ensure delivery of secure, reliable, and high-performance software aligned with enterprise standards.
8+ years of software engineering experience delivering scalable, high-performance, and reliable software in agile environments.
Strong hands-on experience with distributed systems, microservices, RESTful APIs, cloud platforms (AWS and/or Azure), Databricks, Spark or PySpark.
Bachelor’s degree in Computer Science, Software Engineering, or related technical field; advanced degree is a plus.
Experience leading complex system architecture and modernization initiatives including cloud adoption and platform transformation.
Experienced in end-to-end technical leadership including architecture design, technical strategy, and execution of complex, data-intensive software solutions at scale.
Demonstrated ability to lead and coordinate across globally distributed engineering teams working across multiple regions and time zones.
Strong background in modern software delivery practices including CI/CD, containerization, Kubernetes, observability, and mentoring engineers through technical guidance and code reviews.