Lead Site Reliability Engineer

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
45 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $181k
$133k most similar roles pay here $235k

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.

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At a glance

TL;DR · Lead Site Reliability Engineer

As a Lead Site Reliability Engineer within the Cloud Foundational Services team, you will hold a leadership role providing mentorship and technical guidance while managing complex problems for large-scale products. You will champion site reliability culture by conducting resiliency design reviews, identifying service level indicators, and establishing error budgets with stakeholders. Your daily work involves using data-driven analytics to resolve bottlenecks and managing major incidents to prevent financial loss. You will integrate enterprise-authorized AI capabilities into the software development lifecycle to accelerate incident triage, troubleshooting, and automated testing while ensuring security compliance. Required skills include proficiency in Python, Java/Spring Boot, or .Net, alongside expertise in container orchestration, CI/CD pipelines, and observability tools like telemetry collection and black box monitoring. You will solve critical reliability and scalability challenges within a complex enterprise architecture.

What you'll do

  • Conduct resiliency design reviews and break down complex problems into manageable tasks for other engineers.
  • Lead initiatives to improve application reliability and stability using data-driven analytics to resolve technical bottlenecks.
  • Establish service level indicators, objectives, and error budgets in collaboration with stakeholder partners.
  • Serve as the primary point of contact during major incidents to identify and resolve issues quickly.
  • Provide technical expertise, advice, and mentorship to other engineers across multiple technical domains.
  • Integrate AI-assisted reliability workflows into SDLC practices including CI/CD quality checks and test automation.
  • Evaluate AI-assisted operational recommendations for correctness while ensuring compliance with security and resiliency guardrails.

What we're looking for

  • Formal training or certification on site reliability engineering concepts and 5+ years of applied experience.
  • Proficiency in reliability, scalability, performance, security, enterprise system architecture, and toil reduction.
  • Fluency in at least one programming language such as Python, Java/Spring Boot, or .Net.
  • Experience using enterprise-authorized AI capabilities to improve SRE workflows while ensuring data sensitivity and validation.
  • Ability to evaluate AI-assisted operational recommendations for correctness and risk while defining appropriate guardrails.
  • Proficiency in observability, including white and black box monitoring, SLO alerting, and telemetry collection.
  • Proficiency with containerization, container orchestration, and CI/CD practices and tooling.
  • Experience troubleshooting common networking technologies and issues; AWS Certifications (preferred).

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