Lead Site Reliability Engineer

JPMorgan Chase

Quick summary

Work type
On-site
Location
Wilmington, DE
Posted
11 days ago

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Salary context

How this pay compares to similar roles

Similar $177k
$133k most similar roles pay here $228k

This listing doesn't post a salary. Most similar roles pay $142,450–$211,200.

Based on 240 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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Lead Site Reliability Engineer

As a Lead Site Reliability Engineer at JPMorgan Chase within the Enterprise Technology, Corporate Technology team, you will lead initiatives to enhance the reliability and stability of applications and platforms using data-driven analytics. You will champion site reliability culture, conduct resiliency design reviews, and mentor other engineers while acting as the primary point of contact during major incidents. Your role involves leveraging enterprise-authorized AI capabilities for incident analysis and requirements traceability, ensuring compliance with security and audit standards. Key responsibilities include implementing best practices in observability, continuous integration, and container orchestration using tools like Grafana, Prometheus, Jenkins, and Kubernetes. With a deep understanding of software engineering concepts and 5+ years of applied experience, you will drive the adoption of AI-assisted reliability workflows across the SDLC, ensuring traceability and security controls are maintained.

What you'll do

  • Leads initiatives to improve the reliability and stability of applications using data-driven analytics.
  • Collaborates with stakeholders to establish service level objectives and error budgets.
  • Uses AI capabilities to accelerate reliability design and operational decision-making.
  • Acts as a technical lead during major incidents, identifying and solving issues quickly.
  • Documents and shares knowledge within the organization via internal forums.
  • Leads adoption of AI-assisted reliability workflows across software development lifecycle practices.

What we're looking for

  • 5+ years of applied experience in software engineering concepts.
  • Deep proficiency in reliability, scalability, performance, security, and enterprise system architecture.
  • Demonstrated experience using AI capabilities to improve reliability workflows with strong validation habits.
  • Ability to set team practices for safe AI usage while maintaining resiliency, security, and auditability.
  • Fluency in at least one programming language (Python, Java Spring Boot, .Net).
  • Proficiency in observability tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk.

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