Senior AI Reliability Engineer – Kubernetes & GCP

Jobtailor; California (MO); On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor is seeking a senior reliability engineering leader to own AI-powered application reliability across user-facing features. You will define SLI/SLOs, build observability with Looker on BigQuery/BigTable, and drive blameless postmortems while working with cross-functional teams.

The role emphasizes hands-on GenAI workflows, agent engineering, and incident response, requiring deep GCP experience, complex SQL skills, and strong collaboration across engineering leadership.

Qualifications

• 10+ years of software engineering with reliability, observability, or production operations focus.
• Strong Python development skills for tooling and agent-based systems.
• Production GCP experience deploying on GKE (Kubernetes).
• Deep SQL expertise with BigQuery, complex queries and design.
• Experience designing/operating SLI/SLO frameworks and error budgets.
• Hands-on Looker dashboards and LookML for observability.

Responsibilities

• Own the reliability of AI-powered applications and user-facing features.
• Define, implement, and enforce SLI, SLO, and error budgets for APIs and systems.
• Build and maintain Looker dashboards on BigQuery and BigTable.
• Lead incident response, root cause analysis, and blameless postmortems.
• Develop agent evaluation harnesses for benchmarking and testing.
• Write complex BigQuery SQL for usage trends and anomaly detection.

Skills

Python Development

BigQuery SQL Expertise

GCP Experience

Application-Level SLI/SLO Frameworks

Agent Evaluation Harnesses

Education

Bachelor's Degree in Computer Science

Master's Degree in Engineering

Tools

Looker

BigQuery

BigTable

GKE

Cloud Logging

Cloud Trace

Cloud Monitoring

LangGraph

Job description

Jobtailor is seeking a senior reliability engineering leader to own AI-powered application reliability across user-facing features. You will define SLI/SLOs, build observability with Looker on BigQuery/BigTable, and drive blameless postmortems while working with cross-functional teams.

The role emphasizes hands-on GenAI workflows, agent engineering, and incident response, requiring deep GCP experience, complex SQL skills, and strong collaboration across engineering leadership.