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# SRE Software Systems Engineer

- **Company:** SABRE COMPLIANCE SERVICES LLC
- **Location:** Dallas, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Systems Engineering, Bash Shell, Big Data, BigQuery, Continuous Integration, Information Engineering, DevOps, Python (Programming Language), Machine Learning, Reliability Engineering, Cloud Services, Software Systems, SQL Databases, Scripting, Google Cloud, Autoscaling, Retrieval-Augmented Generation, System Availability, Generative AI, Kubernetes, Data Management, Tools for Reporting, Terraform
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_sabreholdings-JR108550

## About the Role

As a SRE Software Systems Engineer, you will drive platform reliability, auto-scaling and cloud cost efficiency across our next-generation data platforms.
You will eliminate operational toil, optimize Google Kubernetes Engine environments and build resilient automation to keep mission-critical applications running smoothly.
This role requires strong Site Reliability Engineering discipline, problem-solving skills and the confidence to challenge outdated processes. **Working schedule** **The role will require on call rotation and working after normal US working hours and some weekends** **.** **What you'll do** + 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. **What you'll bring** + Minimum 3 years of experience in systems
engineering, DevOps or data engineering within high-volume, data-intensive environments. + Proven hands-on expertise with Google Cloud Platform, Terraform, BigQuery and Apache Airflow. + Practical experience using generative AI, automation or analytics tools to improve operational efficiency and platform 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. **Benefits that support you** We know support looks different for everyone.