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# Site Reliability Engineer

- **Company:** SCHONFELD, INC.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Software Quality, Amazon DynamoDB, Elasticsearch, Github, Python (Programming Language), PostgreSQL, MySQL, NoSQL, Reliability Engineering, Cloud Services, Systems Integration, Software Organization, Datadog, Retrieval-Augmented Generation, System Availability, Large Language Models, Generative AI, Agentic-AI, Kubernetes, Restful APIs, Network Server, OpenSearch
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25197_c0ad0ada3f46176fa044cc38d9ee44a2

## About the Role

* 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

## Description

* 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.