Overview

EazyML, (www.EazyML.com) recognized by Gartner, specializes in Responsible AI.

Responsibilities

• Own the technical architecture of the fullstack platform end-to-end — from UI rendering performance down to the SQL queries powering it
• Review, audit, and critique architecture proposals, designs, and code from third-party vendors and internal teams, with authority to push back and demand better
• Diagnose root causes of current performance bottlenecks across the UI, application layer, and database layer
• Design and drive execution of a revamp/refactor roadmap targeting sub-second UI/UX response times
• Define and enforce frontend architecture best practices — component design, state management, rendering strategy, bundle/load optimization, caching — across React and Angular codebases
• Write and optimize performant SQL queries, and guide developers on query design, indexing, and data access patterns that don't tank frontend performance
• Set technical standards, patterns, and guardrails that the broader engineering team builds against
• Partner with product, design, and backend teams to ensure performance is a first-class design constraint, not an afterthought
• Mentor developers and raise the technical bar across the fullstack team

Qualifications

• 8+ years of experience in fullstack development/architecture, with demonstrated depth in modern UI/UX architecture and design patterns — not just framework syntax
• Strong working knowledge of React and Angular (framework-agnostic architectural thinking is what matters most here)
• Proven experience auditing, reviewing, and critiquing technical designs, architectures, and vendor proposals
• Hands-on experience diagnosing and resolving frontend performance issues at scale (rendering, load time, re-renders, bundle size, network waterfall, etc.)
• Strong SQL skills, including writing and optimizing performant queries, indexing strategy, and understanding query execution plans
• Track record of leading revamp/refactor initiatives on existing, non-performant systems — not just greenfield builds
• Ability to think in trade-offs across the full stack (UI, API, database) to hit aggressive performance targets like sub-second response times
• Strong communication skills — able to clearly articulate architectural decisions and push back constructively on weak proposals, including from external vendors
• Prior experience as a technical architect/lead evaluating vendor or third-party deliverables
• Why Join Us
• Join a Gartner-recognized Responsible AI company at the forefront of enterprise GenAI adoption, with the opportunity to work on cutting-edge agentic AI systems alongside a team connected to leading AI ventures like Amelia.ai. This is a fully remote role with the flexibility to work from anywhere in USA, must have authorization to work in US.