Lead Site Reliability Engineer

JPMorgan Chase

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: New York, NY
Employment: Full-time
Posted: 89 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $180k

$132k $235k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $144,375–$215,000.

Based on 240 similar postings.

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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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Site Reliability Engineer

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JOB TITLE: Lead Site Reliability Engineer The Lead Site Reliability Engineer joins the Production Management team to support Sales Execution platforms across Rates, Credit, FX, SPG, and Repo. In this leadership role, you will own the stability, availability, and resiliency of business-critical platforms while mentoring other engineers and conducting resiliency design reviews. You will manage major incident response, drive root-cause remediation, and lead reliability improvements using systems thinking. Key responsibilities include standardizing operational models and integrating AI-assisted reliability workflows for incident triage and CI/CD quality checks. You must possess expertise in Dynatrace, Splunk, Geneos, Grafana, and ITIL practices. Technical skills include Python, Shell, PowerShell, Ansible, Terraform, and experience with AWS, Azure, GCP, containers, microservices, and Kubernetes. You will solve complex production issues within high-availability Capital Markets environments.

Skills

Site Reliability Engineering SRE Python Shell PowerShell Ansible Terraform Kubernetes OpenShift AWS Azure GCP Microservices CI/CD Dynatrace Splunk Geneos Grafana ITIL Observability

What you'll do

Lead the Production Management team by setting technical direction, priorities, and performance expectations for Sales Execution platforms.
Own the stability, availability, and end-to-end operational performance of business-critical Sales platforms.
Act as a senior escalation point to drive rapid triage, coordination, and recovery during critical incidents.
Drive reliability improvements by applying systems thinking, root-cause analysis, and SRE practices like observability and automation.
Manage incident, problem, and change management processes to ensure service readiness and eliminate recurring issues.
Use enterprise-authorized AI capabilities to accelerate incident triage, troubleshooting, and post-incident analysis.
Lead the adoption of AI-assisted reliability workflows across the software development life cycle and toolchain practices.
Conduct resiliency design reviews and break down complex technical problems into manageable tasks for other engineers.

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 and risk while defining appropriate guardrails for team usage.
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, time-sensitive environments.
Strong knowledge of Rates, Credit, FX, Repo, and/or SPG workflows, including RFQs, pricing, and trade lifecycle processes.
Strong observability and service management expertise including Dynatrace, Splunk, Geneos, Grafana, and ITIL.
Hands-on technology experience across cloud (AWS/Azure/GCP), automation (Python, Ansible, Terraform), and Kubernetes/OpenShift (preferred).

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