Remote AI Reliability Engineer (SRE) for Gen AI Systems

DeWinter Group; Campbell (CA); Remote; USD 68,880 - 241,080; Full time

Job summary

A leading firm in AI solutions is looking for an experienced AI Reliability Engineer (AI SRE) for a 12-month remote contract role. In this high-impact position, you will focus on ensuring the reliability and performance of critical AI systems by defining SLOs, implementing automated resilience measures, and leading incident response. Ideal candidates will have over 4 years of SRE experience, expertise in system monitoring, and proficiency in Python and Kubernetes.

Qualifications

• 4+ years of experience in Site Reliability Engineering (SRE).
• Deep expertise in system monitoring, incident management, and cloud resilience.
• Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.

Responsibilities

• Defining and maintaining Service Level Objectives (SLOs) for AI inference latency and availability.
• Building automated 'circuit breakers' and fallback logic.
• Leading incident response and root-cause analysis (RCA) for AI system failures.
• Developing stress-testing and chaos engineering scenarios for AI agent swarms.
• Optimizing the 'cold start' and scaling time for serverless AI functions.

Skills

Site Reliability Engineering

System monitoring

Incident management

Cloud resilience

Python

Go

Kubernetes

Observability stacks

Tools

Datadog

New Relic

Job description

A leading firm in AI solutions is looking for an experienced AI Reliability Engineer (AI SRE) for a 12-month remote contract role. In this high-impact position, you will focus on ensuring the reliability and performance of critical AI systems by defining SLOs, implementing automated resilience measures, and leading incident response. Ideal candidates will have over 4 years of SRE experience, expertise in system monitoring, and proficiency in Python and Kubernetes.