AI Site Reliability Engineer

Schonfeld; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

You will define reliability standards, own observability, incident response, and the scalability of our AI platform, ensuring high availability of agents, gateways, LLM proxies, and RAG pipelines. You’ll also contribute to code quality and best practices, helping developers build with the platform while communicating effectively with stakeholders.

Qualifications

• 5+ years in cloud automation or SRE-like role.
• Proficient in Python and REST APIs.
• Experience with relational and NoSQL databases.
• Hands-on with AWS, Kubernetes, and CI/CD pipelines.
• Interest in AI and issue-solving for production systems.

Responsibilities

• Define SLOs, error budgets, and incident runbooks.
• Own observability, incident response, reliability, and scalability of the AI platform.
• Ensure high availability of agents, gateways, LLM proxies, and RAG pipelines.
• Support users via a dedicated help channel and root-cause investigations.
• Improve code quality and development lifecycles for the platform.

Skills

Cloud automation

Site Reliability Engineering

Python

REST APIs

Event-driven architectures

PostgreSQL

MySQL

DynamoDB

ElasticSearch

OpenSearch

AWS

Kubernetes

GitHub Actions

CI/CD pipelines

Observability (DataDog)

AI enthusiasm

Strong communication

Agentic AI / RAG pipelines

MCP servers

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
• 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 areSchonfeld 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 CultureAt 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.

APAC Demographic Information (Completion is voluntary)

Individuals seeking employment at Schonfeld are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. As a part of that, we want to encourage candidates to voluntarily complete the following survey which helps us keep track of how we are doing in our efforts.

Completion of the form is entirelyvoluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.