Infra Engineer III — AI-Driven Platform Reliability

JPMorganChase

Plano (TX)

On-site

USD 120,000 - 160,000

Full time

4 days ago
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Job summary

JPMorganChase is seeking an Infrastructure Engineer III within the Corporate Sector – Infrastructure Platforms. You will apply software and infra engineering expertise across data-scale applications and participate in AI-assisted monitoring and automation efforts.

The role focuses on reliability, security, and performance, with opportunities to design dashboards and drive capacity analysis across cloud and on-prem environments.

Qualifications

  • Formal training or certification on infrastructure engineering concepts with 3+ years applied experience.
  • Experience using AI capabilities to support infrastructure workflows with data sensitivity awareness.
  • Ability to review AI-assisted recommendations before implementation and ensure resiliency and security.

Responsibilities

  • Apply technical knowledge to projects of moderate scope, focusing on data and systems at scale.
  • Use AI-powered capabilities to accelerate monitoring, capacity analysis, and documentation.
  • Make significant decisions for multi-technology projects and drive site reliability initiatives.
  • Champion AI-assisted automation for operational workflows with proper controls.
  • Lead reliability improvements with data-driven analytics and clear service levels.
  • Define SLIs/SLOs with stakeholders and monitor platform health.
  • Diagnose issues, modernize processes, and ensure end-to-end monitoring.
  • Collect telemetry, design dashboards, and ensure security and performance.

Skills

Scripting languages
Cloud technologies
Automation & IaC
Observability tools
AI capabilities

Tools

Terraform
Python
PowerShell
Ansible
GitHub Copilot
Grafana
Dynatrace
Datadog
Prometheus

Job description

JPMorganChase is seeking an Infrastructure Engineer III within the Corporate Sector – Infrastructure Platforms. You will apply software and infra engineering expertise across data-scale applications and participate in AI-assisted monitoring and automation efforts.

The role focuses on reliability, security, and performance, with opportunities to design dashboards and drive capacity analysis across cloud and on-prem environments.

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