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Popular Fullstack title, mid-level experience, metro context, and broad AI+cloud requirements increase candidate density.
Strong fintech, compliance, and production AI/MLOps requirements reduce transferability across industries.
Explicit 5+ years plus mandatory AI/MLOps, fintech security, CI/CD and leadership requirements create strict filters.
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Design, build, and operate core distributed cloud services for a next-gen commercial pricing and billing platform.
Implement and integrate AI-powered capabilities like generative insights, anomaly detection, and pricing optimization into the product.
Lead technical architecture within the team, mentor junior engineers, and participate in on-call support and production issue resolution.
Bachelor's degree in Computer Science or equivalent experience.
5+ years of relevant professional experience in software development and AI-enabled feature delivery.
Proven experience shipping AI-driven features in production, including MLOps practices.
Proficiency in at least one modern development framework/language such as Java; experience with Git and CI/CD processes.
Experienced full stack engineer with leadership experience from architectural design to production in cloud-based financial platforms or fintech.
Strong expertise in distributed systems, databases, security, or front-end technologies applied in financial contexts.
Skilled in AI integration for production systems, including anomaly detection, forecasting, LLM-powered features, with a strong understanding of security, privacy, compliance, and AI safety.