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Tier-1 brand, mid-level backend role in metro with broad skills and 5+ years — high competition.
Core backend and cloud skills transfer well, but financial services preference increases domain specificity to medium.
Explicit 5+ years and mandatory backend, cloud, streaming, and AI-assisted tooling requirements.
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Lead design, development, and troubleshooting of secure, scalable software solutions using Java and related technologies.
Drive adoption and validation of enterprise AI-assisted software engineering practices to improve code quality, delivery speed, and operational stability.
Lead technical evaluations with vendors and internal teams; foster communities of practice to integrate emerging technologies in software engineering.
5+ years of applied software engineering experience with formal training or certification.
Hands-on experience with Java technologies including dependency injection frameworks (Spring / Spring Boot), microservices/RESTful APIs, messaging frameworks (MQ, Kafka, Spark).
Experience in automation, CI/CD, cloud-native development (AWS, GCP, Azure), and secure coding practices.
Demonstrated expertise in using and leading teams on approved AI-assisted software development tools and responsible AI practices.
Experienced lead engineer capable of setting team standards for AI-assisted development, including validating AI outputs for correctness and security.
Strong background in software engineering within agile environments, skilled in cloud-native architectures and distributed systems.
Familiar with financial services IT systems and able to lead mentoring and cross-functional collaboration to integrate performance testing and automation into development lifecycle.