Cloud Infrastructure Engineer (Open LMS) UK, Remote

Overview

In this role you will design, build, and operate a multi-tenant SaaS hosting platform on AWS, enabling scalable Moodle LMS deployments. You’ll own infrastructure across AWS, configuration management, and observability, collaborating with cross-functional teams to improve reliability and deployment workflows. You’ll apply deep Linux expertise and distributed systems thinking to solve complex platform challenges. This is a hands-on, architecture-influencing role with a strong focus on scale, reliability, and operational excellence.

Responsibilities

• Design, build, and maintain AWS infrastructure using Terraform (EC2, RDS, S3, SQS, Lambda, ALB, ElastiCache, Route 53, VPC)
• Develop and maintain Puppet modules to manage fleets of EC2 instances across auto-scaling groups
• Extend Python-based automation and tooling supporting platform operations
• Operate and improve distributed service discovery and configuration management (etcd)
• Manage and tune multi-tier caching (Varnish, Redis/Valkey, PHP OPcache)
• Run and scale observability stack (Prometheus, Grafana, Loki, Fluentd, PagerDuty) and participate in on-call rotations
• Evaluate and implement distributed storage solutions as the platform evolves
• Improve deployment workflows and release processes
• Collaborate with internal teams on API contracts, integration patterns, and operator tooling
• Participate in incident response, root cause analysis, and platform reliability improvements

Key requirements

• Strong production experience with AWS services (EC2, RDS, S3, SQS, Lambda, ALB, ElastiCache, Route 53, IAM, VPC)
• Proficiency in creating and maintaining Terraform modules for production infra
• Proficiency in creating and maintaining Puppet modules (or equivalent) for fleet management
• Solid Python skills for writing/maintaining production daemons
• Deep Linux systems knowledge (Ubuntu) including Apache/Nginx, PHP-FPM, Varnish, systemd, mounts, networking
• Understanding of distributed systems concepts (consensus, leader election, etcd, eventual consistency)
• Experience building/maintaining observability pipelines (Prometheus, Grafana, Loki, Fluentd) in production
• Comfort with GitLab-based CI/CD workflows
• Clear communicator for architectural decisions and tradeoffs

• Clear communicator
• documentation mindset
• cross-functional collaboration
• Terraform
• Puppet (or equivalent)
• Python

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