Lead Site Reliability Engineer

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Columbus, OH
Employment: Full-time
Posted: 10 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $181k

$135k $240k

below market most similar roles pay here above market

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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 1243 open roles on FindRole.

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At a glance

TL;DR · Lead Site Reliability Engineer

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The Lead Site Reliability Engineer -EPAS joins the EPAS team to provide technical leadership and mentorship while championing a site reliability culture. This role involves conducting resiliency design reviews, breaking down complex problems into manageable tasks, and serving as the primary point of contact during major incidents to prevent financial loss. Key responsibilities include improving application stability through data-driven analytics, establishing service level objectives, and managing error budgets. The position requires utilizing enterprise-authorized AI capabilities for incident triage and automating reliability workflows within the SDLC. Candidates must possess proficiency in Python, Java/Spring Boot, or .Net, alongside experience in container orchestration, networking, and observability tools like Dynatrace. Technical expertise in Ansible/AAP, RHEL, and AWS is preferred to ensure scalable, secure, and performant enterprise system architecture.

Skills

Site Reliability Engineering Python Java Spring Boot .Net CI/CD AWS Ansible AAP RHEL Dynatrace Observability Telemetry Networking AI SDLC

What you'll do

Lead resiliency design reviews and break down complex problems into manageable tasks for other engineers.
Improve application and platform stability using data-driven analytics to identify and solve technology bottlenecks.
Establish service level indicators, objectives, and error budgets in collaboration with stakeholders and customers.
Serve as the primary point of contact during major incidents to identify and resolve issues quickly.
Provide high-level technical expertise and mentorship to other engineers across multiple technical domains.
Implement AI-assisted reliability workflows across the software development life cycle and toolchain practices.
Use enterprise-authorized AI to accelerate incident triage, troubleshooting, and post-incident analysis.

What we're looking for

Formal training or certification on site reliability engineering concepts and 5+ years of applied experience.
Demonstrated 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 with strong validation habits and data sensitivity awareness.
Ability to evaluate AI-assisted operational recommendations for correctness, risk, and alignment with resiliency and security expectations.
Proficient knowledge of observability, including white and black box monitoring, SLO alerting, and telemetry collection.
Proficiency with continuous integration, continuous delivery practices, and container orchestration.
Experience with troubleshooting common networking technologies and issues; Ansible/AAP, RHEL, Dynatrace, and AWS (preferred).

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