4 hours ago
Base Salary
$175k - $225k/yr
Responsibilities
- Define reliability standards, SLOs, error budgets, and incident response runbooks for Enterprise AI.
- Own observability, incident response, reliability, scalability, and high availability for the internal AI platform.
- Contribute code and automation workflows for agents, gateways, LLM proxies, and RAG pipelines.
- Support users through a dedicated help channel by investigating root causes, providing solutions, monitoring upstream dependencies, and communicating updates.
- Improve code quality, development lifecycle practices, the core platform, and developer workflows.
Requirements
- Require 5+ years of professional cloud automation or site reliability engineering experience, or similar.
- Require familiarity with software development best practices 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, RAG pipelines, or agentic tools.
- Prefer experience with observability tooling such as DataDog.
Benefits
- The role includes a competitive benefits package and may be eligible for performance-based compensation.
- The company provides learning and educational offerings and opportunities for professional development.
- The company promotes a collaborative, inclusive culture with internal networks, external partnerships, and 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.