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Mid-level senior, metro location, and broad generalist architecture skills create moderate applicant competition.
Role demands deep backend, Oracle, cloud, and financial domain experience, limiting cross-industry transferability.
Explicit 6-10+ years plus mandatory Java, cloud, DB, and architecture expertise enforces strict filtering.
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Lead design and evolution of enterprise-grade platforms in financial/wealth management with modern architecture and AI/ML integration.
Provide architectural leadership combining hands-on technical implementation with innovation in AI-driven solutions and intelligent automation.
Drive adoption of cloud-native technologies (AWS/Azure), microservices, DevOps practices, and data-driven decision systems.
6-10+ years of software engineering experience with strong architecture exposure.
Expertise in Java (multithreading, JVM tuning), Spring Boot, Hibernate, microservices, and distributed systems.
Strong hands-on skills in Oracle SQL/PLSQL, AWS/Azure cloud, Docker, Kubernetes, CI/CD, Kafka/RabbitMQ.
Experience with AI/ML lifecycle, model deployment, REST-based serving; familiarity with Python and AI/ML platforms.
Experienced architect with deep domain knowledge in financial services, especially capital markets or wealth management preferred.
Able to align technology strategy with complex business outcomes, demonstrating leadership in stakeholder management.
Comfortable leading cloud-native, scalable solutions with forward-looking AI/data-driven innovations and agile global teams.