Senior SRE: Data Intelligence & AI Platform

Sabre; Southlake (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive pay

Flexible work options

Comprehensive healthcare coverage

Generous PTO and holidays

Retirement planning support

Family-friendly benefits

Professional development opportunities

Job summary

Sabre is seeking an SRE Software Systems Engineer IV for the Data Intelligence and AI Operations team to scale high-throughput data platforms and AI workloads on Google Cloud, with a focus on reliability and automation.

The role involves on-call rotations, after-hours work, and collaboration across global teams to reduce toil, optimize costs, and improve incident response using IaC and modern tooling.

Qualifications

• Minimum 3 years of experience in systems engineering, DevOps or data engineering within high-volume, data-intensive environments.
• Hands-on expertise with Google Cloud Platform, Terraform, BigQuery and Apache Airflow.
• Experience using generative AI, automation or analytics tools to improve operational efficiency and reliability.
• Advanced proficiency in SQL and Python scripting to automate complex technical tasks.
• Demonstrated ability to manage incident response and partner across teams to build scalable cloud solutions.

Responsibilities

• Modularize and manage core Google Cloud Platform services using Infrastructure as Code to ensure strict security and scalability.
• Optimize resource utilization, auto-scaling policies and cloud spend for large-scale data and machine learning workloads.
• Operationalize machine learning models and Retrieval-Augmented Generation architectures using robust continuous integration pipelines.
• Build automated failovers and schema migrations using Python and Bash to eliminate repetitive operational toil.
• Use generative AI and automation to streamline pipeline observability, trace system telemetry and accelerate incident response.

Job description

Sabre is seeking an SRE Software Systems Engineer IV for the Data Intelligence and AI Operations team to scale high-throughput data platforms and AI workloads on Google Cloud, with a focus on reliability and automation.

The role involves on-call rotations, after-hours work, and collaboration across global teams to reduce toil, optimize costs, and improve incident response using IaC and modern tooling.