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Popular full‑stack mid‑level role with broad AI/cloud requirements increases candidate competition.
Requires fintech/security and production AI experience, reducing cross‑industry portability.
Explicit 5+ years, production AI, fintech security and leadership requirements create strict filtering.
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Design, build, and operate core distributed services on a cloud-based financial platform, including AI-powered features such as generative insights, anomaly detection, and pricing optimization.
Own production quality by writing maintainable code, conducting code reviews, implementing tests and observability, and participating in on-call rotation for production issue resolution.
Mentor junior engineers and lead cross-functional collaboration to accelerate delivery and uphold technical excellence across projects.
Bachelor's degree in Computer Science or equivalent experience.
5 or more years of relevant professional experience combining work and advanced education.
Proven experience shipping AI-enabled features in production, including MLOps practices.
Proficiency in a modern programming language (e.g., Java) and familiarity with DevOps practices (CI/CD), version control systems (Git), and security/compliance for financial data and AI safety.
Experienced in leading projects end-to-end from architectural design to production with technical leadership and mentoring skills.
Strong background in cloud-based financial technology platforms, distributed systems, fintech domain, or large-scale anomaly detection and optimization.
Capable of integrating AI/ML models (e.g., LLMs, anomaly detection) safely and effectively into production environments, influencing cross-functional stakeholders.