Staff Software Engineer - UI Foundations

🏢 About Amplitude

Amplitude is a leading AI-first digital analytics platform that helps companies build better products and digital experiences. With over 4,700 customers including Atlassian, Burger King, and NBCUniversal, Amplitude provides powerful AI agents for analytics, testing, and optimization. The company is publicly traded and known for its innovative product analytics solutions.

🎯 The Role

We're looking for a Staff Software Engineer who thinks like an infrastructure engineer but has deep fluency in frontend systems. You'll drive architectural decisions for our frontend platform, push performance and DevX forward, and lead the build-out of our "software factory" — a set of autonomous, AI-agent-driven engineering workflows that increase engineering velocity across the org.

🛠️ Tech Stack

• Core: React, TypeScript
• Tooling: CI/CD, build systems, monorepo tooling
• Infrastructure: Micro-frontend architecture, design systems, performance optimization

💼 What You'll Do

• Own and evolve frontend architecture including module boundaries, micro-frontend patterns, shared component/design-system infrastructure, and state management strategy.
• Diagnose and fix systemic performance issues such as bundle size, load time, runtime performance, and rendering bottlenecks; establish performance budgets and guardrails.
• Build and maintain build systems, local dev environments, CI/CD pipelines, linting/codegen, and internal tooling.
• Identify bottlenecks in engineering workflows and build AI-agent-driven automation to remove them.
• Set technical direction and standards for the frontend org; mentor senior/staff-track engineers.
• Partner with product engineering, design systems, and platform/infra teams to ensure foundational investments solve real pain points.

✅ What You'll Need

• Real world software engineering experience with a track record operating at Staff level or equivalent scope/impact.
• Deep expertise in modern frontend architecture (React or equivalent) combined with strong infrastructure/systems engineering instincts.
• Demonstrated experience improving frontend application performance at scale (bundle optimization, rendering performance, load-time metrics).
• Experience designing and shipping internal developer tooling or platform infrastructure that measurably improved developer velocity.
• Hands-on experience with AI-agent-driven or LLM-powered engineering workflows, or a clear point of view on how to build them.
• Strong technical judgment and ability to drive consensus on ambiguous, cross-cutting architectural decisions.
• Excellent communication skills, both written and spoken.

🌟 Nice to Have

• Experience with monorepo tooling, micro-frontend architectures, or large-scale frontend platform migrations.
• Familiarity with design systems and component library architecture.
• Prior experience building "agent harness" style infrastructure: eval frameworks, agent orchestration, or tool-use frameworks for LLMs.