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 within the Consumer & Community Banking Data and Analytics 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


* Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines


* Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications


* 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


* Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers


* Supports the adoption of site reliability engineering best practices within your team


* 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.


* 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.

Required qualifications, capabilities, and skills



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


* Exposure to or hands-on experience in supporting SRE practices for AI/ML platforms and products, with familiarity in infrastructure components such as Databricks, Vector Databases, Model Serving endpoints, and ML training/deployment pipelines.


* Understanding of how to apply SRE fundamentals - including monitoring, incident response, capacity awareness, and toil identification - to AI/ML and data-intensive workloads, with the ability to define and track relevant SLOs/SLIs (e.g., model latency, inference availability, data fre...