We are seeking a Lead Principal Site Reliability Engineer to champion the design and architecture of robust infrastructure and services, ensuring adherence to high reliability and functionality standards. This role involves full ownership of demand forecasting and capacity planning, alongside close collaboration with software development teams to build scalable and resilient infrastructures. You will guide the implementation of data collection methods to optimize operations and reliability, oversee incident response, and provide strategic performance reporting. A key aspect is contributing to automation strategies and leading the integration of innovative tools, while serving as a role model for technical support and documentation accuracy. Expertise in site reliability trends and a forward-thinking approach are essential.

Lead the design and architecture of infrastructure, ensuring alignment with reliability standards. Forecast demands and manage capacity needs proactively. Collaborate with development teams on building scalable and reliable infrastructures. Recommend and implement data collection strategies for operational optimization. Oversee incident response, maintenance tasks, and root cause analyses. Provide strategic, future-oriented health and performance reporting. Drive automation strategies and review implementation. Communicate expert-level insights on services and anticipated impacts of changes. Act as a role model for technology support and documentation accuracy. Lead the implementation of innovative tools and share expertise on site reliability trends.

Requires 8+ years of hands-on experience in software development, site reliability engineering, monitoring, and automation, with proven ownership of production platforms. Strong Python programming skills and experience in backend services, REST APIs, integrations, and event-driven workflows are mandatory. Must have built monitoring and observability solutions for alerts, metrics, and logs. Experience integrating AI/LLM capabilities for incident analysis and operational support is crucial. Develop reusable agents, implement alert correlation, and build automated remediation workflows. Experience integrating monitoring platforms with incident management systems is essential. Strong understanding of distributed systems, Linux, networking, databases, and application performance is required. Proficiency in software engineering practices like automated testing, CI/CD, and secure development is necessary. Excellent communication and collaboration skills are vital.