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Mid-level generalist fullstack role at a recognizable fintech, attracting moderate competition.
Core fullstack engineering skills are broadly transferable across industries.
Explicit 5+ years plus mandatory Java, frontend frameworks, APIs and AI-assistant experience makes filters strict.
Own end-to-end specification quality and AI-assisted implementation of complex features for scalable SaaS products.
Lead AI-assisted development practices including code review, spec templates, prompt patterns, and validation workflows.
Mentor engineers on AI tool usage, code review, spec writing, and lead technical decisions within the pod's domain.
Bachelor's degree in Computer Science or equivalent experience.
5+ years of software engineering experience designing and implementing scalable SaaS software.
Proficiency in Java, JSP, Node.js, HTML5, CSS/Sass, Angular, React, TypeScript/JavaScript, REST APIs, SQL databases.
Demonstrated experience with AI coding assistants (e.g., Claude Code, Windsurf).
Experienced with AI-assisted, spec-driven software development and autonomous AI task delegation.
Comfortable working closely with Technical PMs and cross-functional teams in a collaborative pod environment.
Proven ability to lead and improve development workflows and drive adoption of new AI-assisted tools and practices.