Advance your career as a Principal Site Reliability Engineer, architecting robust infrastructure and services for optimal reliability and functionality. This role involves forecasting demand, managing capacity, and collaborating closely with development teams to build scalable and dependable systems. You will utilize your expertise in data collection for operational optimization and leverage advanced knowledge for incident response and maintenance.

Key contributions include providing comprehensive health and performance reports, identifying automation opportunities, and communicating service details proactively. You will also provide essential technology support, document incidents, and explore new tools through advanced experimentation. Maintaining a deep understanding of site reliability trends is crucial for success in this position.

Design and architect infrastructure and services for enhanced reliability and functionality. Forecast future demands and manage capacity to ensure adequate system resources. Collaborate with software development teams to create scalable and reliable infrastructures. Exercise critical judgment in data collection to maintain and optimize operations. Respond to incidents and perform maintenance tasks leveraging advanced knowledge. Deliver comprehensive health and performance reporting and identify automation opportunities.

Communicate detailed service information, anticipate and articulate the impact of changes, and provide expert support for technology. Document all incidents thoroughly and conduct root cause analyses. Experiment with new tools and maintain up-to-date knowledge of site reliability trends to drive innovation and improvement.

A minimum of 5 years of hands-on experience in software development, site reliability engineering, monitoring, and automation is mandatory, with a proven track record of owning production platforms. Strong programming skills in Python are essential, along with experience in backend services, REST APIs, integrations, and event-driven workflows.

Demonstrate experience in building comprehensive monitoring and observability solutions. Proven ability to integrate AI/LLM capabilities for incident analysis and operational decision support. Develop reusable agents that combine live monitoring data with historical incidents to recommend remediation steps. Implement alert correlation and automated remediation workflows with robust controls.

Possess a strong understanding of distributed systems, Linux, networking, databases, and application performance. Apply software engineering best practices, including automated testing, code reviews, CI/CD, and secure development. Evaluate platform reliability and AI output quality, measure operational outcomes, and use engineer feedback for continuous improvement. Excellent communication and collaboration skills are vital for working effectively with diverse teams.