Cloud Platform Engineer: AWS, Kubernetes & Terraform

SLR Consulting; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

SLR Consulting in Greater London is seeking an experienced DevOps/SRE engineer to design, implement and optimize scalable cloud infrastructure and automation across client platforms.

You will architect AWS-based deployments, manage Kubernetes clusters with Terraform and Helm, build automated pipelines using GitHub Actions, Python and Bash, and monitor health with Prometheus and Grafana while pursuing cost efficiency and strong security practices.

Qualifications

• Experience managing AWS infrastructure in a DevOps/SRE role.
• Proficient with IaC (Terraform) and automation workflows (GitHub Actions).
• Strong Python and Bash scripting skills.
• Experience building/maintaining production-grade Kubernetes clusters.
• Knowledge of security controls at the infrastructure level.
• Experience with Prometheus, Grafana and ELK for monitoring/logging.
• Ability to identify improvements and optimise costs.

Responsibilities

• Architect and deploy cloud solutions using AWS, Kubernetes, Helm, and Terraform.
• Automate provisioning and deployment pipelines with GitHub Actions, Python, and Bash.
• Monitor infrastructure health with Prometheus and Grafana and optimise performance and costs.
• Implement security best practices across all infrastructure layers.
• Collaborate cross-functionally and document cloud infrastructure for continuity.

Skills

AWS infrastructure management

DevOps/SRE experience

IaC (Terraform)

Automation workflows

Python

Bash scripting

Kubernetes production clusters

Security best practices

Monitoring & logging

Tools

Terraform

Kubernetes

GitHub Actions

Prometheus

Grafana

ELK

Python

Bash

Job description

SLR Consulting in Greater London is seeking an experienced DevOps/SRE engineer to design, implement and optimize scalable cloud infrastructure and automation across client platforms.

You will architect AWS-based deployments, manage Kubernetes clusters with Terraform and Helm, build automated pipelines using GitHub Actions, Python and Bash, and monitor health with Prometheus and Grafana while pursuing cost efficiency and strong security practices.