Staff Software Engineer, AI Reliability Engineering

Job Description

Anthropic is seeking a talented and experienced Reliability Engineer to join their team. The ideal candidate will have experience as a Software Engineer or Systems Engineer with a strong interest in reliability. This role involves defining and achieving reliability metrics for all of Anthropic’s internal and external products and services. The Reliability Engineer will play a critical part in Anthropic’s mission to bring the capabilities of groundbreaking AI technologies to benefit humanity in a safe and reliable way.

Responsibilities:

• Develop appropriate Service Level Objectives for large language model serving and training systems.
• Design and implement monitoring systems including availability, latency and other salient metrics.
• Assist in the design and implementation of high-availability language model serving infrastructure.
• Develop and manage automated failover and recovery systems for model serving deployments across multiple regions and cloud providers.
• Lead incident response for critical AI services, ensuring rapid recovery and systematic improvements from each incident.
• Build and maintain cost optimization systems for large-scale AI infrastructure.

Requirements:

• Extensive experience with distributed systems observability and monitoring at scale.
• Understanding of the unique challenges of operating AI infrastructure.
• Proven experience implementing and maintaining SLO/SLA frameworks for business-critical services.
• Comfortable working with both traditional metrics (latency, availability) and AI-specific metrics (model performance, training convergence).
• Experience with chaos engineering and systematic resilience testing.
• Excellent communication skills.
• Bachelor's degree in a related field or equivalent experience.

The role offers:

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.