This listing doesn't post a salary. Most similar roles pay
$147,480–$213,692.
Based on 238 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
Lead Site Reliability Engineer
As a Lead Site Reliability Engineer within the Production Management team, you will lead efforts to ensure the stability, availability, and resiliency of business-critical Sales Execution platforms. You will manage technical priorities, conduct resiliency design reviews, mentor other engineers, and serve as a senior escalation point during critical incidents. Your daily work involves managing incident, problem, and change management processes while integrating AI-assisted reliability workflows into the software development lifecycle. You will partner with cross-functional teams to improve platform performance across Rates, Credit, FX, SPG, and Repo products. Required skills include expertise in Dynatrace, Splunk, Geneos, Grafana, and ITIL frameworks. Technical proficiency includes AWS, Azure, GCP, Python, Shell, PowerShell, Ansible, Terraform, containers, microservices, and Kubernetes or OpenShift to support high-availability trading environments and complex trade lifecycle processes.
Lead the Production Management team by setting direction, priorities, and performance expectations for Sales Execution platforms.
Own the stability, availability, and end-to-end operational performance of business-critical trading systems.
Act as a senior escalation point to lead triage, coordination, and recovery during critical incidents.
Drive reliability improvements through root-cause analysis, observability, monitoring, and automation.
Manage incident, problem, and change management processes to ensure system readiness and eliminate recurring issues.
Integrate enterprise-authorized AI capabilities to accelerate incident triage, troubleshooting, and post-incident analysis.
Implement AI-assisted reliability workflows across the software development lifecycle to improve testing and operational readiness.
Partner with cross-functional teams to improve platform stability and service maturity for Front Office stakeholders.
What we're looking for
Formal training or certification on site reliability engineering concepts and 5+ years of applied experience.
Demonstrated experience using enterprise-authorized AI capabilities to improve SRE workflows with strong validation habits and data sensitivity awareness.
Ability to evaluate AI-assisted operational recommendations for correctness, risk, and security alignment.
Leadership experience across Production Support, Production Management, SRE, and Technology Operations teams.
Proven background supporting Front Office Sales users and Sales Execution platforms in high-availability environments.
Strong knowledge of Rates, Credit, FX, Repo, or SPG workflows including RFQs, pricing, and trade lifecycles.
Expertise in observability tools (Dynatrace, Splunk, Geneos, Grafana) and ITIL incident, problem, and change management.
Experience with cloud platforms, automation/scripting (Python, Shell, Ansible, Terraform), and distributed systems (Kubernetes, containers). (preferred)
Site Reliability Engineering
Python
Java
Spring Boot
.Net
AI
CI/CD
Container Orchestration
AWS
Observability
Monitoring
Telemetry
Networking
System Architecture
SDLC