Principal Site Reliability Engineer

Upstart is a leading AI lending marketplace focused on reducing the cost and complexity of borrowing for all Americans. The Principal Site Reliability Engineer will lead the definition and adoption of SRE principles across engineering teams, ensuring the reliability and observability of Upstart’s production systems while collaborating with various teams to enhance operational excellence.

Responsibilities:

• Lead the definition, advocacy, and adoption of SRE principles across engineering teams
• Partner with leadership to shape long-term reliability, resiliency, and observability strategies
• Champion distributed tracing, real user monitoring (RUM), and key performance metrics such as Largest Contentful Paint (LCP) to improve system visibility and user experience
• Build and scale self-healing systems to minimize manual intervention and reduce downtime
• Drive enterprise-wide improvements to incident response processes, including those related to Machine Learning systems
• Collaborate closely with Development Productivity and Quality teams to improve engineering velocity without sacrificing reliability
• Influence technical and operational roadmaps through data-driven insights and hands-on technical contributions
• Own and deliver cross-functional initiatives from concept through execution, applying program management skills to align stakeholders and achieve results

Requirements:

• Bachelor's degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience
• Combined experience with both Software Engineering and Site Reliability Engineering, with a balanced background in both disciplines
• Proven track record as an SRE thought leader and evangelist, driving adoption of reliability best practices across organizations
• Strong communication and mentoring skills to influence engineers across disciplines
• Proficiency in Python, Go, JavaScript/TypeScript
• Proficiency with Infrastructure as Code (Terraform, CDK, CloudFormation, etc.)
• Experience building internal tooling from scratch in agile development environments
• Expertise with observability, distributed tracing, RUM, LCP, and performance monitoring tools (e.g., Datadog, Prometheus)
• Experience with on-call and incident management, including large-scale or ML-related incidents
• Strong background in automation and building self-healing systems
• Hands-on experience with LLM/GenAI to improve SRE efficiency and processes
• Program management skills, including the ability to propose innovative solutions, influence leadership, improve processes, and drive cross-functional projects to completion
• Experience with service mesh
• Full stack development skills
• Experience building or extending observability platforms
• Background in Development Productivity or Quality Platforms
• Experience in high-scale SaaS, microservice-oriented cloud environments