Site Reliability Engineer II – AI & Corporate Risk Tech

Overview

In this Site Reliability Engineer II role within Corporate Risk Technology, you will help secure and optimize mission-critical platforms through code and cloud infrastructure. You’ll collaborate across teams to implement reliable deployment and monitoring practices and apply AI-assisted insights to improve incident response and operational signals. Your work enables scalable, available systems that support risk management. This is a chance to contribute to a growing, technology-driven environment that values curiosity and continuous improvement.

Responsibilities

• Guide peers on designing reliable systems and promote SRE best practices across the team
• Collaborate with software engineers to design, test, and implement CI/CD-based reliability approaches
• Implement infrastructure as code and network-as-code for scoped applications and platforms
• Partner with stakeholders to resolve complex problems using SLI/SLOs to prevent customer impact
• Identify roadblocks and propose technology-driven improvements to address business problems
• Use availability, reliability, and scalability principles to improve outcomes with partners
• Utilize enterprise AI capabilities to speed incident triage, troubleshooting, and post-incident analysis
• Leverage AI-assisted signals to identify reliability risks and prioritize repeatable improvements tied to SLOs

Key requirements

• Formal training or certification on site reliability engineering concepts
• Proficiency in site reliability culture and practices
• Proficiency in at least one programming language (Python, Java/Spring Boot, or .NET)
• Experience in observability (monitoring, alerting, telemetry)
• Knowledge of software applications and processes within a technical discipline (cloud, AI, mobile)
• Working knowledge of enterprise AI capabilities and data sensitivity awareness
• Ability to review and validate AI-assisted recommendations with security and data handling in mind

• collaboration
• curiosity
• problem-solving
• site reliability engineering concepts
• CI/CD tooling
• infrastructure as code

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