Senior Lead Site Reliability Engineer

JPMorgan Chase

Quick summary

Work type
On-site
Location
Palo Alto, CA
Salary
$171,000–$260,000 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $216k
$130k most similar roles pay here $274k

This role pays more than 81% of similar roles. Most pay $150,000–$208,800 — the shaded band above. At the midpoint, this role pays about $216k versus about $179k for comparable roles.

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 452 open roles on FindRole.

Listed pay typically runs $142,500–$205,000 across 231 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Senior Lead Site Reliability Engineer

As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platforms and Foundational Services (IPFS) team, you will collaborate with stakeholders to define non-functional requirements and availability targets for services, ensuring these are integrated into product design and testing phases. Your day-to-day involves creating observability designs for complex systems, mentoring technologists on technical and business issues, and driving the adoption of AI-assisted reliability workflows across SDLC practices while maintaining resiliency and security. You will leverage advanced knowledge in Java, Go (Golang), Python, Terraform, and various monitoring tools like Grafana and Prometheus to build robust enterprise applications and infrastructure as code. This role requires expertise in distributed systems, microservices architecture, cloud-native technologies, and hands-on experience with AI frameworks such as LangChain and AutoGen, along with proficiency in containerization, CI/CD pipelines, and GitOps workflows.

What you'll do

  • Leads reuse-first adoption of AI-assisted reliability workflows across SDLC practices.
  • Sets team practices for safe AI usage in operations while maintaining security and auditability.
  • Drives the evolution and debugging of critical components by understanding interdependencies.
  • Creates and implements observability designs for complex systems to ensure stability.
  • Provides ongoing guidance, tools, and solutions to support firm’s growth and innovation.

What we're looking for

  • 5+ years of applied experience in site reliability engineering with formal training or certification.
  • Advanced knowledge and hands-on experience in observability tools like Grafana, Prometheus, and Splunk.
  • Expert-level proficiency in Java, Go (Golang), Python, and Terraform for building enterprise-grade applications.
  • Ability to lead AI-assisted reliability workflows across the software development lifecycle.
  • Strong experience with containerization, CI/CD pipelines, GitOps workflows, and cloud-native technologies.

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