Lead Site Reliability Engineer — AI-Powered Resilience

Worky

Plano (TX)

Hybrid

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

comprehensive health care coverage

on-site health and wellness centers

retirement savings plan

tuition reimbursement

mental health support

Job summary

JPMorgan Chase & Co. is seeking a Lead Site Reliability Engineer for the Chief Technology Office, Identity & Access Management. You will own non-functional requirements, influence strategic planning, and drive improvements in customer experience, resiliency, security, and automation across applications.

You will mentor engineers, scale SRE adoption, and shape reliability metrics while leveraging AI capabilities within a secure, blameless environment.

Qualifications

Formal training or certification in software engineering concepts plus 5+ years of applied experience.
Advanced knowledge of SRE principles and a track record of implementing SRE across application and platform teams while avoiding common pitfalls.
Experience leading technologists to manage and resolve complex technology issues at a firmwide level.
Ability to influence team culture by championing innovation and driving change.
Experience hiring, developing, and recognizing talent.
Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab, Terraform).
Experience with containers and orchestration (e.g., Docker, Kubernetes, ECS).
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows with strong validation habits.

Responsibilities

Lead SRE practices that balance delivery speed, efficiency, and system stability
Partner with engineering peers and senior stakeholders to drive strong, shared outcomes
Scale SRE adoption across application and platform teams
Set reliability expectations and show progress through stability and reliability metrics
Run blameless, data-driven post-incident reviews and regular debriefs to turn lessons into improvements
Build a continuous-improvement culture by gathering feedback and improving the customer experience
Coach entry- to mid-level engineers and promote knowledge sharing through internal forums and communities
Use enterprise-authorized AI capabilities to accelerate major-incident triage and post-incident analysis
Lead reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices to ensure resiliency and security controls