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Known firm, common backend lead title with broad full-stack requirements yields moderate competition.
Strong MDM and financial client data experience required makes background fit highly sensitive to domain experience.
Explicit 10+ years and domain-specific MDM and Java/microservices requirements create high shortlisting strictness.
Lead architecture, development, and delivery of enterprise client mastering applications covering client onboarding, identity resolution, hierarchy management, survivorship, deduplication, and data quality.
Design and implement scalable, secure APIs and services to distribute trusted client data across enterprise platforms, ensuring performance, stability, and compliance with architecture standards.
Drive AI-assisted software engineering practices to enhance software delivery quality, engineer productivity, and operational efficiency.
10+ years of enterprise software engineering experience in master data management, client mastering, data integration, or enterprise data platforms.
Bachelor’s degree in Computer Science, Software Engineering, or related discipline; Master’s preferred.
Proficient in Java, SQL, Spring Boot, Hibernate, React JS, Microservices, REST APIs, Oracle/MySQL, CI/CD automation, and AI-assisted development tools.
Work shift: 2:00 PM to 11:00 PM IST.
Experienced technical leader comfortable leading architecture and application design for scalable full-stack and API-driven platforms within enterprise data management.
Familiar with AI-enabled software development lifecycle and applying AI techniques for data quality improvements and automation.
Skilled at collaborating with diverse stakeholders to influence technology decisions and manage cross-functional dependencies in complex enterprise environments.