Site Reliability Engineer, AI & Agentic Systems

Overview

As our SRE charter continues to evolve, this role demands strong hands-on ownership of production reliability and troubleshooting, coupled with advanced capabilities in AI- and agentic-driven automation and performance engineering.

The Site Reliability Engineer will play a critical role in ensuring reliability, scalability, performance, and operational excellence of our platforms. The ideal candidate will leverage Azure-native AI services and agentic systems to reduce toil, improve incident response, and enable intelligent operations—while also driving performance testing practices to validate system resilience under load.

This is a hybrid role, located at our Plano, TX office. Candidates must be willing and able to work in-office 3 days per week in Plano, TX.

Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future

A DAY IN THE LIFE

In this role, you will…

• Own end-to-end reliability of large-scale, Azure-hosted production systems, ensuring high availability, fault tolerance, and graceful degradation
• Lead hands-on incident troubleshooting, root cause analysis (RCA), and post-incident reviews with actionable follow-ups
• Build and operate resilient, scalable services on Microsoft Azure (AKS, App Services, Functions, Event Hubs, etc.)
• Design and maintain comprehensive observability platforms using Prometheus for metrics, Loki for log aggregation, Tempo for distributed tracing, and Grafana for dashboarding and alerting
• Design, develop, and execute performance testing strategies for distributed systems and microservices, including load testing, stress testing, soak testing, and capacity planning
• Integrate AI agents with Azure monitoring stack, CI/CD tooling, and incident management platforms
• Contribute to evolving SRE standards, tooling, operational processes, and knowledge base

Reliability Engineering & Production Ownership

• Own end-to-end reliability of large-scale, Azure-hosted production systems, ensuring high availability, fault tolerance, and graceful degradation
• Lead hands-on incident troubleshooting, root cause analysis (RCA), and post-incident reviews with actionable follow-ups
• Define, measure, and enforce Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets aligned with business outcomes
• Drive proactive reliability improvements based on operational insights, failure mode analysis, and capacity planning
• Participate in on-call rotations and take real-time ownership during production incidents

Platform & Automation Engineering

• Build and operate resilient, scalable services on Microsoft Azure (AKS, App Services, Functions, Event Hubs, etc.)
• Design and maintain comprehensive observability platforms using Prometheus for metrics, Loki for log aggregation, Tempo for distributed tracing, and Grafana for dashboarding and alerting
• Create automation to eliminate manual operational tasks and reduce Mean Time to Recovery (MTTR)
• Implement self-healing mechanisms, automated remediation workflows, and runbook automation
• Manage and optimize API lifecycle and traffic management using Gravitee API Gateway
• Design and implement durable, fault-tolerant workflows and microservice orchestration patterns using Temporal
• Administer and tune PostgreSQL databases for reliability, performance, and high availability
• Partner with application and platform teams to improve service operability, deployment safety, and change management

Performance Testing & Load Engineering

• Design, develop, and execute performance testing strategies for distributed systems and microservices, including load testing, stress testing, soak testing, and capacity planning
• Build and maintain performance test scripts and virtual user scenarios using Micro Focus Load Runner and VuGen (Virtual User Generator)
• Analyze performance test results to identify bottlenecks, regressions, and scalability limits; produce clear reports with actionable recommendations
• Integrate performance testing into CI/CD pipelines to enable continuous performance validation and shift-left testing practices
• Establish and monitor performance…