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Site Reliability Engineer - Mid-Level
- Location: Southlake, Texas 76092
- Work model: On-site
- Posted 4 weeks ago
- Job ID: JPC - 209447
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Job Description
Site Reliability Engineer - Mid-Level
Location: Southlake, TX (Hybrid)
About the Role
Join a dynamic engineering team as a Site Reliability Engineer and play a key role in driving automation, reliability, and operational excellence across both on-premises and cloud environments. Leverage your expertise in Python, cloud infrastructure, and production operations to solve complex challenges and ensure seamless, highly available systems. This is an excellent opportunity to expand your skills in automation, observability, and AI/ML-driven operations while collaborating with forward-thinking professionals in a hybrid work environment.
Responsibilities
- Design and develop Python-based automation solutions to streamline operational processes and reduce manual effort
- Automate and manage infrastructure across Linux, Windows, Kubernetes, GCP, and other cloud-native platforms
- Integrate diverse tools and platforms using APIs and client libraries to create cohesive operational workflows
- Implement infrastructure automation solutions with Ansible, Terraform, or similar tools
- Monitor and maintain production systems to consistently meet reliability and availability targets
- Participate in incident response, troubleshooting, and root cause analysis to resolve issues efficiently
- Build and maintain dashboards, alerts, and monitoring systems using Splunk, Grafana, Prometheus, or comparable platforms
- Explore and implement AI/ML-driven operational improvements, such as anomaly detection and intelligent alerting
Required Skills and Experience
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- 3-5 years of hands-on experience in Site Reliability Engineering, DevOps, Production Engineering, or related disciplines
- Strong Python programming skills for automation and tooling
- Practical experience managing Kubernetes clusters and supporting cloud platforms like GCP, AWS, or Azure
- Proficiency with infrastructure automation and configuration management tools
- Solid understanding of Linux systems, networking, and distributed application environments
- Experience with monitoring and observability tools such as Splunk, Grafana, or Prometheus
- Demonstrated ability to support production systems at scale and participate in incident response
Preferred Skills
- Experience with Terraform, Ansible, or other Infrastructure as Code solutions
- Exposure to OpenTelemetry and modern observability practices
- Familiarity with CI/CD pipelines and deployment automation
- Knowledge of AI/ML, AIOps, or advanced operational tooling
- Background supporting highly available systems in regulated or enterprise environments
Benefits
- Hybrid work setup for flexibility and work-life balance
- Opportunities for career growth and skill development in automation, cloud, and AI/ML operations
- Collaborative and inclusive culture focused on innovation and continuous improvement
- Work with cutting-edge technologies and modern engineering practices
How to Apply
Ready to advance your SRE career and drive impactful change? Click "Apply Now" to submit your resume and join our mission to deliver robust, automated, and intelligent production systems.
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Job details
Job ID JPC - 209447
Location Southlake, Texas, United States
Work Model On-site
Job Type Referral Fee
Posted September 15, 2026
Skills Key Responsibilities:- Develop Python-based automation solutions to reduce manual operational effort- Automate infrastructure management across Linux windows Kubernetes GCP and cloud-native environments- Integrate tools and platforms through APIs and client libraries- Assist in implementing infrastructure automation using Ansible Terraform or similar technologies- Monitor and maintain production systems to meet reliability and availability objectives- Participate in incident response troubleshooting and root cause analysis activities- Build and maintain dashboards alerts and monitoring solutions using Splunk Grafana Prometheus or similar tools- Explore AI/ML-driven operational improvements such as anomaly detection and intelligent alerting
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