Schonfeld - AI Site Reliability Engineer
Requirements
• 5+ years of professional cloud automation or site reliability engineering experience, or similar • Familiarity with software development best practices and experience creating applications in Python • Experience working creating and integrating REST APIs, and event-driven and asynchronous architectures • Experience working with both relational (Postgres, MySQL) and NoSQL databases (DynamoDB, Elastic Search) • Experience with AWS cloud services (S3, OpenSearch, DynamoDB, etc.), Kubernetes-driven deployments, Github Actions, and modern CI/CD pipelines • A passion for AI, creative ideas for how it can be a tool for problem solving and productivity • A thoughtful approach to problem-solving; ability to break down complex issues methodically • Excellent communication skills; Able to translate technical concepts for non-technical stakeholders • We’d love if you had: • Experience developing agentic AI applications, harnesses, MCP servers, and workflows • Familiarity with or experience building AI agents, Retrieval-Augmented Generation (RAG) pipelines, or agentic tools • Experience with observability tooling such as DataDog • Who we are 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.
Responsibilities
• You will set the reliability standards for Enterprise AI, defining Service Level Objectives (SLOs), error budgets, and custom incident response runbooks. • You will own the observability, incident response, reliability, and scalability of our AI platform. • Ensure that our agents, gateways, LLM proxies, and RAG pipelines operate with high availability, accuracy, and financial efficiency. • Support users in a dedicated help channel when issues arise — investigating root causes, providing solutions, monitoring the status of upstream dependencies, and communicating updates back to users. • 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.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT