Site Reliability Engineer III - Chief Technology Office

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 the world's most complex and mission-critical systems. At JPMorganChase, we give you the tools, resources, and global scale to make a real impact — and the opportunity to grow alongside some of the brightest minds in the industry.

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

Job responsibilities

• Guide and assist others in building appropriate-level designs and gaining consensus from peers where appropriate
• Collaborate with software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines
• Collaborate with software engineers and teams to design, develop, test, and implement availability, reliability, and scalability solutions within applications
• Implement infrastructure, configuration, and network as code for the applications and platforms in your remit
• Partner with technical experts, key stakeholders, and team members to resolve complex problems
• Leverage service level indicators and service level objectives to proactively resolve issues before they impact customers
• Support the adoption of site reliability engineering best practices within your team
• 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 familiarity in how to implement site reliability within an application or platform
• Proficiency in at least one programming language such as Python, Java/Spring Boot, or .NET
• Proficiency in software applications and technical processes within a given technical discipline (e.g., cloud, artificial intelligence, mobile, etc.)
• Experience in observability practices such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, or similar
• Experience with continuous integration and continuous delivery tools such as Jenkins, GitLab, or Terraform
• Familiarity with container and container orchestration technologies such as ECS, Kubernetes, and Docker
• Familiarity with troubleshooting common networking technologies and issues
• 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

• Ability to contribute to large, collaborative teams by presenting information in a logical and timely manner with compelling communication and limited supervision
• Demonstrated ability to proactively recognize roadblocks and a strong interest in learning technologies that facilitate innovation
• Ability to identify new technologies and relevant solutions to ensure design constraints are met by the engineering team
• Ability to initiate and implement ideas to solve business problems