Lead Site Reliability Engineer – AI-Driven Reliability

Talentify

Houston (TX)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

JPMorgan Chase is seeking a Lead Site Reliability Engineer to shape the future of reliability for a globally recognized firm within the Corporate & Investment Bank domain. The role emphasizes leadership across multiple technical domains and mentoring peers.

You will drive reliability initiatives, define SLIs/SLOs with stakeholders, and leverage enterprise AI capabilities to accelerate incident response and post-incident analysis while ensuring security and resiliency across platforms.

Qualifications

  • Formal training or certification in site reliability concepts.
  • 5+ years of applied SRE experience across multiple domains.
  • Proficient in Python/Java/.Net and modern cloud architectures.

Responsibilities

  • Models and champions SRE culture and practices within the organization.
  • Leads initiatives to improve reliability and stability of apps and platforms.
  • Defines service level objectives and error budgets with stakeholders.
  • Utilizes enterprise AI capabilities to accelerate incident triage, troubleshooting, and post-incident analysis.
  • Serves as main incident contact to quickly identify and resolve issues and minimize financial impact.
  • Mentors other engineers and shares expertise across teams.
  • Leads adoption of AI-assisted reliability workflows across SDLC and CI/CD pipelines.

Skills

SRE fundamentals
Programming: Python/Java/.Net
Observability
CI/CD tooling
AI-assisted SRE workflows

Education

Certified in SRE concepts

Tools

Kubernetes
CI/CD tools (Git/Jenkins/etc)

Job description

JPMorgan Chase is seeking a Lead Site Reliability Engineer to shape the future of reliability for a globally recognized firm within the Corporate & Investment Bank domain. The role emphasizes leadership across multiple technical domains and mentoring peers.

You will drive reliability initiatives, define SLIs/SLOs with stakeholders, and leverage enterprise AI capabilities to accelerate incident response and post-incident analysis while ensuring security and resiliency across platforms.

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