Lead Site Reliability Engineer

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

As a Lead Site Reliability Engineer at JPMorgan Chase within the Enterprise technology, Infrastructure Platforns team, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them.

Take lead and conduct resiliency design reviews, break up complex problems into digestible work for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to other engineers.

Job Responsibilities


* Build reliability into the platform through production-grade software (automation, control loops, self-healing, and tooling) that eliminates manual operations instead of formalizing them.


* Use declarative, intent-based systems: store desired state as data in a trusted source of truth and continuously reconcile actual state to it via automation (not one-off imperative scripts).


* Treat telemetry and state data as core reliability assets: instrument consistently, collect at scale, and use the data to drive detection, diagnosis, and closed-loop remediation.


* Define SLIs/SLOs with stakeholders and operationalize them via SLO-based alerting, standard telemetry/observability practices, and alerts that are actionable and tied to user impact.


* Own services end-to-end-reliability, performance, security, and cost-lead on-call and major incidents (triage, mitigation, comms, blameless PIRs), drive measurable toil reduction, and apply AI across the SDLC with strict validation so speed never compromises correctness.


* Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.


* Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.

Required Qualifications, Capabilities, and Skills


* Formal training or certification on site reliability engineering concepts and 5+ years applied experience


* Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.


* Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.


* Strong production software engineering experience in an industry-standard lan...