Lead Site Reliability Engineer - AI-Driven Resiliency Architect

JPMorgan Chase & Co.; Kentucky; On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Kentucky seeks a Lead Site Reliability Engineer to shape the future of our globally recognized firm. You will guide design reviews, mentor engineers, and lead medium to large products with a strong focus on resiliency.

You will own SRE best practices, implement CI/CD pipelines, container orchestration, and AI-assisted reliability workflows across the SDLC, ensuring security and auditability while maintaining 24x7 production support.

Qualifications

• Formal training or certification in SRE concepts and 5+ years applied experience.
• Proficient in SRE culture and principles with strong observability background (SRE practices).
• Proficient in at least one programming language (Python, Java/Spring Boot, .NET).
• Experience using enterprise AI capabilities to improve SRE workflows with validation habits.

Responsibilities

• Guides and assists in building designs and gaining consensus.
• Collaborates to design and implement CI/CD pipelines.
• Designs for availability, reliability, and scalability in applications.
• Implements infrastructure, configuration, and network as code.
• Resolves complex problems with technical experts and stakeholders.
• Uses SLOs to proactively resolve issues.
• Supports adoption of SRE best practices.
• Provides 24x7 production support for critical apps.
• Leads AI-assisted reliability workloads and traceability.

Skills

SRE concepts

Observability

AI in ops

CI/CD tooling

Docker/Kubernetes

Networking

Python/Java/.NET

Education

SRE Certification

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

Job description

JPMorgan Chase & Co. in Kentucky seeks a Lead Site Reliability Engineer to shape the future of our globally recognized firm. You will guide design reviews, mentor engineers, and lead medium to large products with a strong focus on resiliency.

You will own SRE best practices, implement CI/CD pipelines, container orchestration, and AI-assisted reliability workflows across the SDLC, ensuring security and auditability while maintaining 24x7 production support.