Senior Cloud Platform Engineer - Kubernetes on AWS

Testing Site - JPMC; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Job summary

J.P. Morgan Personal Investing is seeking a DevOps Engineer in the Cloud Infrastructure team in London. You will manage a Kubernetes-on-AWS platform used by 150+ engineers, advocating best practices and standardising cloud deployments to meet security controls.

You'll collaborate with security and architecture teams to design and operate a scalable, observable platform. The role emphasizes production Kubernetes expertise and strong Go/Python coding skills.

Qualifications

• 5+ years of professional experience.
• Proven track record of building and managing continual automation / deployment / delivery environments.
• Proficiency running infrastructure on cloud platforms, such as AWS and GCP, appreciation for their failure modes, and a good understanding of network concepts and fundamentals.
• Expertise in managing and maintaining Kubernetes clusters in production.
• Strong coding skills (Go/Python preferred).
• Excellent knowledge on observability tooling and best practices.
• Experience working within or alongside engineering teams to deliver.

Responsibilities

• Build and maintain a Kubernetes on AWS platform used by 150+ engineers
• Advocate good practices and principals throughout the engineering function
• Standardise deployment and usage of cloud resources to ease technology adoption and comply with security controls
• Work with stakeholders, such as security, to understand the requirements of the platform

Skills

Kubernetes

Go

Python

AWS

CI/CD

Observability

DevOps

Tools

Cloud Platforms

Job description

J.P. Morgan Personal Investing is seeking a DevOps Engineer in the Cloud Infrastructure team in London. You will manage a Kubernetes-on-AWS platform used by 150+ engineers, advocating best practices and standardising cloud deployments to meet security controls.

You'll collaborate with security and architecture teams to design and operate a scalable, observable platform. The role emphasizes production Kubernetes expertise and strong Go/Python coding skills.