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Avantos

AI-driven platform for client lifecycle management

Senior Full-Stack Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 8 years of engineering experience building production web applications.
  • Expert-level frontend depth with React and Next.js, including streaming, modern rendering patterns, and state strategy.
  • Ability to design high-performance, scalable, modern frontend systems with clarity and intentionality.
  • Solid backend competency, ideally with Golang, and strong API design fluency.
  • Deep understanding of performance, caching, hydration, code splitting, bundling, deployment strategy, and developer-experience/user-experience tradeoffs.
  • Product and architecture instincts, including judgment about what should be built and how it should be built.

Responsibilities

  • Lead frontend architecture and experience design by owning React and Next.js interfaces end-to-end, with a focus on performance, user experience, and scalability.
  • Integrate with backend services and contribute to Golang application programming interfaces when needed.
  • Collaborate with product and design on experience decisions and implementation.
  • Influence architecture, reliability, performance strategy, and engineering standards.
  • Write high-quality, clean, well-structured code and enforce code quality in reviews.
  • Mentor engineers, unblock technical work, and set the technical bar.

Desired Qualifications

  • Experience in artificial intelligence, financial technology, or data-intensive products.
  • Experience shaping design systems, frontend platforms, or reusable architecture patterns.
  • Familiarity with edge rendering, observability tooling, or event-driven architecture.
  • Experience with relational databases, including Postgres.

About the Company

Avantos

AI-driven platform for client lifecycle management

Avantos provides an AI-native operating system for financial institutions to manage the entire client lifecycle, from onboarding to servicing. It uses a knowledge graph to connect client data, products, service teams, and workflows so AI agents can reason across relationships, orchestrate work, and execute tasks, with features like AI co-pilots, automated workflow orchestration, a SmartBuilder, and pre-built connectors to CRMs and portfolio tools. The platform moves beyond data insights by enabling cross-functional execution and end-to-end automation on a single system, differentiating itself from firms that rely on fragmented legacy software. Its goal is to deliver a consistent, personalized, and compliant client experience across wealth management, insurance, retirement, and banking by consolidating disparate systems into one intelligent operating system.

Company size
51-200
Company stage
Series A
Total funding
$35M
Headquarters
New York City, New York
Founded
2024

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