Job Description

Role & Responsibilities

Design and own end-to-end architecture for full-stack innovation projects across the portfolio
Define technical standards, frameworks, and design patterns to ensure scalability, reliability, and maintainability across engineering teams
Champion the adoption of AI-powered development tools and agentic workflows to elevate engineering velocity and code quality org-wide
Partner closely with product, engineering leadership, and cross-functional teams to translate experimental concepts into production-ready systems
Lead technical discussions and decision-making on architecture, technology selection, and implementation approaches
Mentor senior and mid-level engineers, driving adoption of advanced development practices and emerging technologies
Drive rapid prototyping initiatives and establish frameworks for iterative, experimental development cycles
Own critical/high-impact features and systems end-to-end — from architecture and development through deployment, monitoring, and production support
Evaluate build vs.



buy decisions and assess emerging technologies (including AI/LLM tooling) for enterprise adoption

Requirements

Required Qualifications

12–15+ years of skilled software engineering experience, including 3+ years in an architect or technical leadership capacity, with proven ownership of production systems at scale
Deep expertise in full-stack architecture — frontend frameworks, backend services/microservices, databases, and cloud platforms (AWS/Azure/GCP)
Strong working knowledge of AI code assistants and agentic development tools (Amazon Q, GitHub Copilot, Claude Code, Gemini CLI, Cursor, or similar), with the ability to evaluate and drive their adoption across teams
Proven experience owning High-Level Design (HLD) and Low-Level Design (LLD) for complex, distributed systems
Strong proficiency in one or more programming languages, with a demonstrated track record of evaluating and adopting new technologies
Ability t

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