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Tier-1 employer, metro role, senior fullstack title and broad tech requirements create high competition.
Senior fullstack architecture and AI tooling focus favors platform/SaaS experience, limiting cross-industry transferability moderately.
Explicit 10+ years plus mandatory tech stack, architecture and AI requirements raise shortlisting strictness to high.
Design and implement AI-powered tools and core web technology stacks including authentication, event tracking, and design systems to enhance developer experience and expand platform capabilities.
Drive architecture and engineering standards at team and division levels, focusing on modular, scalable web apps and APIs using microservices on Kubernetes.
Collaborate cross-functionally to integrate AI into workflows, improve scalability, reliability, and increase product adoption across global markets while maintaining engineering quality.
10+ years of software engineering experience building scalable, high-quality applications.
Expertise in Java, JavaScript, and modern UI frameworks such as React, Angular, or Lit (required).
Hands-on proficiency with AI developer tools like Copilot or Claude mandatory.
BS or higher in Computer Science or related field, or equivalent practical experience.
Proven experience driving architecture and engineering standards at a team or division level in complex technical environments.
Strong background integrating AI into software engineering processes and decision-making at scale.
Cross-functional collaboration mastery with a strong product sense in fast-paced, startup-like engineering settings.