Lead Cloud Infra Engineer - AWS & 24/7 On-Call

J.P. MORGAN

Glasgow

On-site

GBP 70,000 - 110,000

Full time

14 days+

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Job summary

J.P. Morgan is seeking a Lead Infrastructure Engineer within Cloud Foundational Services to drive infrastructure excellence and performance. The role emphasizes cloud engineering, automation, and cross-functional collaboration across platforms to deliver scalable solutions.

The successful candidate will apply advanced knowledge of AWS services, scripting, and AI-assisted development tools to improve code quality, delivery speed, and reliability in a large distributed environment.

Qualifications

  • Formal training or certification on infrastructure engineering concepts
  • Deep knowledge of infrastructure engineering areas (hardware, networking, deployment, automation)
  • Hands-on AWS experience including core services in production
  • Cloud infrastructure knowledge across public/private clouds with scripting skills (e.g., Python)

Responsibilities

  • Apply technical expertise to projects of moderate scope
  • Drive a workstream or project with infrastructure technologies
  • Architect and implement changes across platforms to resolve issues and modernize processes
  • Develop creative design, development, and troubleshooting solutions
  • Engage with stakeholders while adhering to compliance and SLAs
  • Provide follow-the-sun on-call support via distributed team across time zones
  • Collaborate with engineering and product teams to close issues and drive product improvement

Skills

AWS
Cloud infrastructure
Python scripting
On-call support

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform
Docker
Kubernetes
CI/CD tooling

Job description

J.P. Morgan is seeking a Lead Infrastructure Engineer within Cloud Foundational Services to drive infrastructure excellence and performance. The role emphasizes cloud engineering, automation, and cross-functional collaboration across platforms to deliver scalable solutions.

The successful candidate will apply advanced knowledge of AWS services, scripting, and AI-assisted development tools to improve code quality, delivery speed, and reliability in a large distributed environment.

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