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Strong Mastercard brand, Pune metro, and a generalist backend lead role increase candidate competition.
Role demands backend, cloud, and data-platform expertise; transferable but requires specialized platform and architecture experience.
Explicit 8+ years plus required cloud, Databricks/Spark, distributed systems, and architecture skills indicates high shortlisting strictness.
Lead architecture, design, and development of Mastercard’s next-generation experimentation platform focusing on scalability, performance, security, and reliability.
Drive modernization initiatives toward scalable, cloud-native, API-driven, service-oriented architectures using AWS, Azure, Databricks, Spark/PySpark.
Provide technical leadership across globally distributed teams, including mentorship, technical design reviews, and cross-team coordination to ensure high-quality delivery.
8+ years of software engineering experience in scalable, high-performance, and reliable software development.
Strong hands-on experience with distributed systems, microservices, RESTful APIs, and cloud-native applications using AWS and/or Azure.
Proven expertise in system architecture, technical leadership, and delivery of complex, data-intensive software solutions; experience with Databricks, Spark, or PySpark is highly desirable.
Bachelor’s degree in Computer Science, Software Engineering, or related technical field. Work Experience Required: 8+ years. Notice Period: Not explicitly mentioned in the JD.
Experienced technical leader comfortable driving architecture and modernization for data-intensive, cloud-native platforms at scale.
Proficient in collaborating and leading cross-functional, globally distributed teams with strong ability to manage technical trade-offs and risks.
Demonstrates hands-on execution capability combined with strategic thinking to evolve legacy systems and mentor engineers in best practices.