Site Reliability Engineer 3 - AI, Corporate Risk Tech

There's nothing more exciting than being at the center of a rapidly growing field in technology and applying your skills to drive innovation and modernize some of the world's most complex and mission-critical systems. At JPMorganChase, you'll be part of a team that values curiosity, collaboration, and continuous improvement — where your contributions directly shape the reliability and resilience of platforms that matter.

As a Site Reliability Engineer III at JPMorganChase within Corporate Risk Technology, you will solve complex and broad business problems with simple, straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure — independently decomposing and iteratively improving on existing solutions. You are a meaningful contributor to your team, sharing your knowledge of end-to-end operations, availability, reliability, and scalability of your application or platform.

Job responsibilities

• Guide and support team members in building appropriate-level designs, gaining peer consensus, and driving adoption of site reliability engineering best practices across the team
• 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 the applications and platforms within your 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 impact customers
• Identify and address roadblocks, propose improvements to solve business problems, and explore new technologies where appropriate
• Apply familiarity with availability, reliability, and scalability principles to iteratively improve outcomes in collaboration with partners
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
   

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and proficient applied experience
• Proficiency in site reliability culture and principles, with 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 in 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 given technical discipline (e.g., cloud, AI, mobile platforms)
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
   

Preferred qualifications, capabilities, and skills

• Experience with continuous integration and continuous delivery tooling
• Familiarity with container technologies and container orchestration platforms
• Experience troubleshooting common networking technologies and issues