Site Reliability Engineer - AI & Corporate Risk Tech

Salary: £61,000 - 101,000 per year

Requirements:

• Formal training or certification in site reliability engineering concepts, with proficient applied experience
• Proficiency in site reliability culture and principles, and the ability to implement site reliability practices within an application or platform
• Proficiency in at least one programming language, such as Python, Java/Spring Boot, or .NET
• Experience with observability practices, such as white- and black-box monitoring, service level objective alerting, and telemetry collection
• Proficient knowledge of software applications and technical processes within a technical discipline, such as cloud, AI, or mobile platforms
• Working knowledge of using enterprise-authorized AI capabilities to support site reliability engineering workflows, with strong validation habits and awareness of data sensitivity
• Ability to review and validate AI-assisted operational recommendations before applying changes, escalate when uncertain, and follow security and data-handling requirements
• Preferred: Experience with continuous integration and continuous delivery tooling
• Preferred: Familiarity with container technologies and container orchestration platforms
• Preferred: Experience troubleshooting common networking technologies and issues

Responsibilities:

• Guide and support team members in building appropriate-level designs, gaining peer consensus, and adopting site reliability engineering best practices
• Collaborate with software engineers and cross-functional teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
• Implement infrastructure, configuration, and network as code for applications and platforms within our scope
• Partner with technical experts, key stakeholders, and team members to resolve complex problems and proactively address issues using service level indicators and objectives before they affect customers
• Identify and address roadblocks, propose improvements to solve business problems, and explore new technologies where appropriate
• Apply availability, reliability, and scalability principles to iteratively improve outcomes in collaboration with partners
• Use enterprise-authorized AI capabilities to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements
• Use enterprise-authorized AI capabilities to identify patterns in operational signals that indicate reliability risks or recurring toil, prioritizing reuse-first improvements tied to service level objective outcomes
• Configure, maintain, monitor, and optimize applications and their associated infrastructure
• Share knowledge of end-to-end operations, availability, reliability, and scalability with the team

Technologies:

• AI
• Cloud
• Support
• Java
• Marketing
• Mobile
• Network
• Python
• Security
• Spring
• Spring Boot
• ASP.NET

More:

At JPMorganChase, were part of a rapidly growing technology field, applying our skills to drive innovation and modernize complex, mission-critical systems. As a Site Reliability Engineer II in Corporate Risk Technology, youll help solve broad business problems with straightforward solutions and contribute to the reliability and resilience of important platforms. We value curiosity, collaboration, and continuous improvement. J.P. Morgan is a global financial services company providing strategic advice and products to corporations, governments, wealthy individuals, and institutional investors. Our Corporate Functions professionals work across areas including finance, risk, human resources, and marketing, supporting our businesses, clients, customers, and employees. We value diversity and inclusion, are an equal opportunity employer, and provide reasonable accommodations for applicants and employees.

last updated 39 week of 2026