AWS Cloud Platform Engineer | IaC, Kubernetes & Security

Cloudscaler

Greater London

Hybrid

GBP 45,000 - 70,000

Full time

3 days ago
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Benefits offered by this job

Discretionary bonus
Share options
25 days’ annual leave
Training and certification investment
Pension auto-enrolment
Life Assurance
24/7 GP access
Wellbeing support
Health insurance
Travel expenses policy

Job summary

Cloudscaler is seeking a Cloud Engineer to design, build and operate secure cloud platforms for client-driven transformations. You will collaborate with our engineering team to deliver scalable, production-ready solutions across AWS and multi-cloud environments, with a focus on automation, security and reliability.

You’ll work closely with customers and internal stakeholders, leveraging Terraform, Python, Kubernetes and container technologies to implement secure, resilient systems at scale.

Qualifications

  • Experience building cloud resources with Terraform or IaC.
  • Proficient in Python for Lambda or serverless development.
  • Understanding Shared Responsibility model and cloud security.
  • Experience deploying containers with Docker.

Responsibilities

  • Build, test, package, deploy and operate cloud platforms alongside shared platform tooling.
  • Automate the build of cloud infrastructure resources.
  • Package services into AMIs, Docker containers or Serverless deployments.
  • Create IaC using Terraform (or CloudFormation) and Packer.
  • Deliver platform improvements and new tools.
  • Work within an agile environment.
  • Kubernetes administration.

Skills

Terraform
Python
Kubernetes
Docker
Serverless
Cloud security

Tools

Terraform
CloudFormation
Packer
Docker
Kubernetes

Job description

Cloudscaler is seeking a Cloud Engineer to design, build and operate secure cloud platforms for client-driven transformations. You will collaborate with our engineering team to deliver scalable, production-ready solutions across AWS and multi-cloud environments, with a focus on automation, security and reliability.

You’ll work closely with customers and internal stakeholders, leveraging Terraform, Python, Kubernetes and container technologies to implement secure, resilient systems at scale.

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