Site Reliability Engineer III

There's nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.

As a Site Reliability Engineer III at JPMorgan Chase within the Chief Data & Analytics Office (CDAO) AI/ML & Data Platforms team,, 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



* Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate, supporting adoption of site reliability engineering best practices within your team, including modern technologies such as Databricks, Snowflake, AWS, and Kubernetes


* Collaborates with other software engineers and teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines, while supporting application development and production environments


* Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements, including developing and supporting AI/ML solutions for incident resolution


* Implements infrastructure, configuration, and network as code for the applications and platforms in your remit


* Collaborates with technical experts, key stakeholders, and team members to resolve complex problems, coordinate incident management coverage, and proactively address issues using service level indicators and objectives before they impact customers


* Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to SLO outcomes, and supporting intelligent automation for troubleshooting


* Familiar with availability, reliability, scalability, and solutions in their applications and works with partners to improve these outcomes iteratively, including participation in root cause analysis and implementing production changes


* Proactively recognizes road blocks and identifies improvements to solve business problems, including exploring new technologies where appropriate



* Required qualifications, capabilities, and skills



* Formal training or certification on site reliability engineering concepts and 3+ years applied experienc...