Senior Lead SRE: AI-Driven Cloud Reliability

JPMorgan Chase & Co.; Dublin; On-site; EUR 100,000 - 140,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior Lead Site Reliability Engineer to strengthen reliability across the Infrastructure Data Platform. You will contribute to end-to-end operations, ensure availability and scalability, and drive improvements with AI-enabled insights.

Responsibilities include designing resilient architectures, building CI/CD pipelines, and collaborating with engineers to implement automation and observability across AWS and Snowflake environments.

Qualifications

• Formal training or certification in site reliability engineering concepts.
• Proficient in SRE culture and applying it to apps and platforms.
• Strong programming in Python, Java/Spring Boot, or .NET.
• Experience with enterprise AI capabilities for reliability workflows.
• Ability to validate AI-assisted recommendations with data sensitivity in mind.
• Experience managing cloud/data platforms (AWS, Snowflake) with reliability focus.
• Hands-on in observability and incident response tooling (Grafana, Prometheus, etc.).
• Familiar with CI/CD tooling (Jenkins, GitLab) and IaC (Terraform).
• Knowledge of containers and orchestration (Docker, Kubernetes).

Responsibilities

• Guide teams on SRE design choices and best practices.
• Collaborate to design, develop, test, and deploy reliable systems.
• Leverage AI capabilities to accelerate incident triage and analysis.
• Implement infrastructure as code and network as code for apps.
• Work with stakeholders to address reliability risks before impact.
• Apply AI-driven signals to improve SLO outcomes and reduce toil.

Skills

Python

Java/Spring Boot

.NET

Cloud

Observability

CI/CD

Kubernetes

Docker

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

AppDynamics

Jenkins

GitLab

Terraform

ARM

Job description

JPMorgan Chase & Co. is seeking a Senior Lead Site Reliability Engineer to strengthen reliability across the Infrastructure Data Platform. You will contribute to end-to-end operations, ensure availability and scalability, and drive improvements with AI-enabled insights.

Responsibilities include designing resilient architectures, building CI/CD pipelines, and collaborating with engineers to implement automation and observability across AWS and Snowflake environments.