Platform Engineering Lead: Cloud-Native AI & Kubernetes

JP Morgan Chase; Greater London; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorgan Chase in London seeks a Platform Engineer to build secure, scalable software and infrastructure on a Kubernetes-based platform. You will contribute to the Accelerator Business Platform Team, focusing on reliability, security, and continuous improvement.

You will drive cloud-native deployments across AWS/Azure/GCP, apply AI-assisted tooling with governance, and promote GitOps and Infrastructure as Code practices. A collaborative, diverse team environment is offered.

Qualifications

• Certification in cloud/engineering domains.
• Hands-on experience delivering design, development, testing, and operations.
• Proficiency in Go, Java, or Kotlin.

Responsibilities

• Develop secure, high-quality production code and review code written by others.
• Design, build and operate Kubernetes-based platform services.
• Automate CI/CD and developer self-service with IaC and security controls.
• Provide operational support in a you-build-it-you-run-it culture, including incident response.
• Lead architectural evaluation sessions with external vendors and internal teams.
• Drive adoption of AI-assisted development practices while ensuring validation and security.

Skills

Cloud design

System design

Application development

Testing

Operational stability

Go

Java

Kotlin

Agile methodologies

CI/CD

Resiliency

Security

AI-assisted development tools

Responsible AI

Kubernetes Operator pattern

Crossplane

Terraform

GitOps

Education

CKAD

Google Associate Cloud Engineer Certification

AWS Certified Solutions Architect

Tools

Kubernetes

GitOps

IaC

Crossplane

Terraform

Job description

JPMorgan Chase in London seeks a Platform Engineer to build secure, scalable software and infrastructure on a Kubernetes-based platform. You will contribute to the Accelerator Business Platform Team, focusing on reliability, security, and continuous improvement.

You will drive cloud-native deployments across AWS/Azure/GCP, apply AI-assisted tooling with governance, and promote GitOps and Infrastructure as Code practices. A collaborative, diverse team environment is offered.