AI Site Reliability Engineer

Schonfeld; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Schonfeld is seeking a Site Reliability Engineer to join the AI Technology team in Hong Kong. You will contribute code, automation workflows, observability, metrics, and user support in a fast-paced environment where product requirements evolve rapidly.

You’ll define SLOs, own the observability stack, and ensure high availability of agents, gateways, LLM proxies, and RAG pipelines while collaborating with stakeholders to improve the platform and tooling for developers.

Qualifications

• 5+ years of professional cloud automation or site reliability experience.
• Experience creating Python applications and REST APIs.
• Experience with relational databases (Postgres, MySQL) and NoSQL databases (DynamoDB, Elastic Search).

Responsibilities

• Set reliability standards by defining SLOs, error budgets, and incident runbooks.
• Own observability, incident response, reliability, and scalability of the AI platform.
• Ensure agents, gateways, LLM proxies, and RAG pipelines are highly available and efficient.
• Support users via a dedicated help channel, investigate root causes and communicate updates.
• Improve code quality and development lifecycles to help developers build on the platform.

Skills

Python

REST APIs

Event-driven architecture

CI/CD pipelines

AWS

Kubernetes

GitHub Actions

Communication skills

Tools

DataDog

Job description

The Role

We’re looking for a Site Reliability Engineer to join our AI Technology team and play a critical role in ensuring the stability and scalability of the firm’s internal Agentic AI platform. This is a high-impact, hands‑on engineering position where you’ll contribute code, automation workflows, observability, metrics, and support users as issues arise. You’ll work in a dynamic, fast‑paced environment where product requirements evolve, and business stakeholders are deeply engaged.

What you’ll do

• 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.

What you need:

• 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.

Our Culture

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.