Lead Site Reliability Engineer

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

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 Enterprise Technology Infrastructure Platforms team, you will serve as a core technical contributor in an agile environment. You are responsible for designing, developing, and troubleshooting creative software solutions while ensuring products remain secure, stable, and scalable. Your daily work involves writing high-quality production code, performing peer reviews, and identifying opportunities to automate the remediation of recurring issues to improve operational stability. A primary focus is driving team adoption of enterprise-authorized AI-assisted engineering practices for tasks like refactoring, test acceleration, and incident analysis while ensuring secure coding standards. You will lead evaluations with vendors and internal teams regarding architectural designs. Required skills include advanced proficiency in programming languages, mastery of the Software Development Life Cycle, CI/CD, application resiliency, and experience managing responsible AI usage within engineering workflows.

What you'll do

  • Develop secure, high-quality production code while reviewing and debugging code written by other team members.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Establish consistent validation standards for AI outputs including secure coding, peer review, and automated testing.
  • Implement automation capabilities within the Software Development Life Cycle toolchain to increase operational value.
  • Identify and automate the remediation of recurring issues to improve software system stability.
  • Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical applicability.
  • Coach engineers on the safe and compliant use of AI tools while managing data sensitivity and security risks.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Advanced proficiency in one or more programming languages.
  • Demonstrated experience leading the use of approved AI-assisted software development tools for coding, review, and troubleshooting.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
  • Proficiency in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies, CI/CD, application resiliency, and security.
  • In-depth knowledge of financial services IT systems and practical cloud native experience (preferred).

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