Lead SRE: AI-Driven Resilience & Automation

Next Frontier Capital

Kentucky

On-site

USD 150,000 - 210,000

Full time

14 days+
Application generator

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Benefits offered by this job

Health insurance
Retirement plan
Tuition reimbursement
Mental health support

Job summary

JPMorgan Chase is seeking a Lead Site Reliability Engineer to shape the reliability strategy for mission-critical applications within Enterprise Technology. You will lead major incidents, drive post-incident learning, and mentor engineers across multiple domains including SD-WAN, SDN, and network security.

Leverage AI capabilities to accelerate triage, analysis, and remediation while upholding security and resilience standards.

Qualifications

  • Formal training or certification in site reliability engineering and 5+ years of experience
  • Proficiency in reliability, scalability, performance, security, and enterprise system architecture
  • Fluent in Python, Java/Spring Boot, or .Net
  • Experience with AI-enabled reliability workflows and data sensitivity
  • Ability to evaluate AI-assisted operational recommendations for correctness and risk
  • Observability fundamentals: monitoring, SLIs/SLOs, telemetry

Responsibilities

  • Lead incidents and drive major incident response to minimize business impact
  • Champion SRE culture and disseminate knowledge via internal forums
  • Collaborate to define service level indicators and error budgets with stakeholders
  • Lead automation using Python, Shell, and Ansible for self-healing and remediation
  • Provide mentorship and technical leadership across SD-WAN/SDA/SDN, routing, security
  • Ensure governance of resiliency, readiness reviews, and change safety

Skills

SRE best practices
Python
Shell
Ansible
Observability
CI/CD
Networking
AI in operations

Tools

Ansible
CI/CD pipelines
Telemetry tools

Job description

JPMorgan Chase is seeking a Lead Site Reliability Engineer to shape the reliability strategy for mission-critical applications within Enterprise Technology. You will lead major incidents, drive post-incident learning, and mentor engineers across multiple domains including SD-WAN, SDN, and network security.

Leverage AI capabilities to accelerate triage, analysis, and remediation while upholding security and resilience standards.

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