11 hours ago
Hong Kong, Hong Kong or Singapore, SingaporeSenior
Responsibilities
- Define Enterprise AI reliability standards, SLOs, error budgets, and incident response runbooks.
- Own observability, incident response, reliability, and scalability for the internal AI platform.
- Ensure agents, gateways, LLM proxies, and RAG pipelines operate with high availability, accuracy, and financial efficiency.
- Investigate user issues, identify root causes, provide solutions, monitor upstream dependencies, and communicate updates through a dedicated help channel.
- Contribute code and automation workflows while improving code quality, development lifecycles, the core platform, and developer practices.
Requirements
- Require 5+ years of professional cloud automation or site reliability engineering experience, or similar.
- Require software development best-practices knowledge and experience creating applications in Python.
- Require experience creating and integrating APIs and working with event-driven and asynchronous architectures.
- Require experience with relational databases including Postgres and MySQL, and NoSQL databases including DynamoDB and Elasticsearch.
- Require experience with AWS cloud services, Kubernetes-driven deployments, GitHub Actions, and modern CI/CD pipelines.
- Require strong problem-solving and communication skills, including the ability to explain technical concepts to non-technical stakeholders.
- Prefer experience developing agentic AI applications, harnesses, MCP servers, and workflows.
- Prefer experience building AI agents, Retrieval-Augmented Generation pipelines, or agentic tools.
- Prefer experience with observability tooling such as Datadog.
Benefits
- The company provides learning and educational offerings and opportunities to make an impact.
- The culture emphasizes collaboration, inclusion, internal networks, external partnerships, and community service initiatives.
Tech Stack
Categories
Site Reliability
About Schonfeld
Schonfeld is a privately held, multi-manager hedge fund that allocates capital to internal and external portfolio managers across quantitative, fundamental equity, tactical trading, and discretionary macro/fixed-income strategies. The firm manages money for institutional and other sophisticated investors and supports teams with proprietary technology, infrastructure, and risk analytics. Founded in 1988 and headquartered in New York, it operates globally with an investing footprint spanning five continents.