Schonfeld

Schonfeld

Full Stack Engineer

New York, New York, United States

Sponsorship not specifiedDetected 15 days ago
PythonReactHTMLCSSFull-Stack DevelopmentGitNoSQLPostgreSQLMySQLElasticsearchDynamoDBAWSKubernetesCI/CDGitHub ActionsDatadogAPI DevelopmentRESTWebSocketsLLMsAgentic AIDesign SystemsCommunicationProblem Solving

About the role

  • This is a high-impact, hands-on engineering position where you'll contribute not just as a full stack specialist, but also as an AI strategist - helping to evolve our agentic AI platform powering the firm.
  • Your engineering skills, UX sensibility, and product mindset will all be utilized as you craft industry-leading UI platform and ecosystems.

Responsibilities

  • At the same time, you'll work closely with product teams and business stakeholders, helping shape feature definitions, and designing and building high-impact UI solutions directly into our AI applications.
  • Your development responsibilities will span full-stack, including web front-end, backend integration, API design, performance optimization, and system observability.
  • You'll also be involved in the team's code quality and best practices, identify gaps in development lifecycles, and continuously improve both the core platform and how developers build with it.
  • An eye toward high-level product and user-experience design
  • Experience developing agentic AI applications, harnesses, MCP servers, and workflows
  • Experience implementing or maintaining design systems
  • Familiarity with React-based micro-frontend architectures and patterns for building modular UI

Requirements

  • 3-5 years of professional experience in front-end or full stack engineering
  • Expertise in React, HTML, CSS and modern web development toolkits
  • Experience with Python-based backends used in production systems
  • Experience working with REST APIs, WebSockets, and event-driven architectures
  • Experience working with both relational (Postgres, MySQL) and NoSQL databases (DynamoDB, Elastic Search)
  • Ability to break down complex issues methodically
  • Experience with AWS cloud services (S3, OpenSearch, DynamoDB, etc.), Kubernetes-driven deployments, Github Actions, and modern CI/CD pipelines
  • Experience with observability tooling such as DataDog

Compensation

  • The base pay for this role is expected to be between $175,000 and $225,000.

Company info

  • Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors.
  • We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets.
  • We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.
  • At Schonfeld, we'll invest in you.
  • Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people.
  • We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals.
  • We are teamwork-oriented, collaborative and encourage ideas-at all levels-to be shared.
  • As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact.
  • We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm's walls.
  • The base pay for this role is expected to be between $175,000 and $225,000.
  • The expected base pay range is based on information at the time this post was generated.
  • This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package.
  • Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

This listing is sourced directly from Schonfeld's careers page and normalized into a canonical job model.