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Tier-1 brand, Mumbai metro, senior generic software title and broad skillset increase candidate competition.
Enterprise banking backend and MLOps requirements increase domain-specificity, reducing cross-industry transferability.
Explicit 9+ years, mandatory Java/Python/Kafka and MLOps plus regulated environment create strict filters.
Own end-to-end solution architecture including applications, APIs, data, integrations, and environments from development to production.
Lead design and delivery of secure, scalable enterprise software solutions using Java Spring Boot and Python, incorporating AI/ML capabilities and responsible AI controls.
Drive production issue triage and root cause analysis while establishing engineering standards and operational excellence parameters including availability, scalability, resiliency, and security.
9+ years of applied software engineering experience with formal training or certification.
Strong hands-on expertise in Java (11/17+) and Spring Boot microservices, Python 3.x, and enterprise solution design and delivery.
Experience with distributed systems: microservices, event-driven architectures, messaging/streaming (Kafka or equivalent).
Knowledge of AI/ML productionization, DevOps practices (CI/CD, automated testing), and operating in regulated environments.
Experienced software engineer capable of leading architecture and hands-on coding in complex, regulated financial technology environments.
Proficient in integrating AI/ML models into scalable, observable services with responsible AI governance.
Comfortable working with modern cloud-native patterns, container platforms, and advanced production readiness practices such as SRE monitoring and operational rigor.