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High: Tier-1 brand, visible senior backend role, metro location, and broad required tech/ML skills.
Medium: core backend and MLOps skills transfer, but banking/regulatory and enterprise-scale experience are preferred.
High: explicit 9+ years plus many mandatory backend, ML, and platform technology requirements.
Own end-to-end solution architecture for applications, APIs, data, integrations, and environments from development to production.
Lead design and delivery of production-ready Java Spring Boot microservices and AI/ML capabilities, ensuring operational excellence including availability, latency, scalability, and compliance.
Drive complex production issue triage, root cause analysis, and implement engineering standards including reusable patterns and secure design principles.
9+ years of applied software engineering experience with formal training or certification.
Expertise in Java 11/17+, Spring Boot microservices, API design, testing, and Python 3.x for services and AI/ML integration.
Proven experience with distributed systems including microservices, event-driven architecture, Kafka or equivalent, and data architecture fundamentals (NoSQL/relational, caching).
Experience productionizing AI/ML models, MLOps knowledge, and DevOps practices including CI/CD and automated testing.
Experienced in designing and deploying complex, scalable enterprise solutions in regulated environments with security and resiliency focus.
Hands-on technical leader capable of delivering reference implementations and leading performance investigations and design spikes.
Familiar with GenAI technologies (LLMs, retrieval augmented generation), Kubernetes/cloud-native patterns, modernization of legacy systems, and advanced observability/SRE practices.