AI-Driven SRE & Automation Engineer

IntraEdge; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

IntraEdge is seeking an experienced Site Reliability Engineer in Austin, TX to transform deployment, monitoring, and support for mission-critical enterprise applications. You’ll lead automation, observability, and AI/ML-driven operations while partnering with Engineering, Scrum, and Operations to improve availability and rollout success.

You’ll participate in on-call rotations, design CI/CD orchestration, and promote GitOps practices, using data-driven analysis and ML-informed forecasting for

Responsibilities

• Champion the SRE mindset and drive systematization of operational processes
• Build innovative tools and automation that reduce manual toil and improve operational efficiency
• Develop production-grade scripts, frameworks, and infrastructure automation
• Design AI/ML-driven automation, anomaly detection, predictive alerting, and proactive response solutions
• Expand automation across deployment, monitoring, alerting, and self-healing workflows
• Enhance observability and leverage AIOps/ML-assisted monitoring at scale
• Develop CI/CD orchestration and promote GitOps practices
• Use data-driven trend analysis and ML-informed forecasting for capacity planning
• Troubleshoot and resolve critical production issues across mission-critical platforms
• Partner with Engineering, Scrum, and Operations teams to improve availability, reliability, and rollout success
• Participate in an on-call rotation and support real-time production operations

Job description

IntraEdge is seeking an experienced Site Reliability Engineer in Austin, TX to transform deployment, monitoring, and support for mission-critical enterprise applications. You’ll lead automation, observability, and AI/ML-driven operations while partnering with Engineering, Scrum, and Operations to improve availability and rollout success.

You’ll participate in on-call rotations, design CI/CD orchestration, and promote GitOps practices, using data-driven analysis and ML-informed forecasting for