Site Reliability Engineer III

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, you'll have the opportunity to work on platforms that move money globally - where reliability, security, and performance are not just goals, they are requirements.

As a Site Reliability Engineer III at JPMorganChase within the Commercial & Investment Bank - Payments Technology team, you will solve complex and broad business problems with simple, straightforward solutions.

Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize highly available, low-latency payment processing platforms and their associated infrastructure.

You are a significant contributor to your team, sharing your knowledge of end-to-end operations, availability, reliability, and scalability - and helping to raise the bar for the entire team.

Job responsibilities


* Guide and assist teammates in building appropriate-level designs, gaining peer consensus, and supporting the 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 payment processing applications and platforms, ensuring consistency, repeatability, and auditability


* Monitor and maintain Kafka-based data ingestion pipelines, supporting the reliability and throughput of high-availability, low-latency payment flows


* Collaborate 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


* Implement and improve observability solutions - including OpenTelemetry, Grafana, Splunk, and Dynatrace - to drive transparency, faster incident response, and measurable service level objective outcomes


* Apply enterprise-authorized AI capabilities to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to service level objective outcomes


* Use enterprise-authorized AI capabilities to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data in accordance with security and sensitivity requirements


* Proactively identify roadblocks and drive improvements to solve business problems, including exploring new technologies such as AI agentic models and MCP-based frameworks where appropriate

Required qualifications, capabilities, and skills


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


* Proficienc...