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Open LMS

Cloud Infrastructure Engineer (Open LMS) Hungary

🇭🇺 Remote - HU 🕑 Full-Time 💰 TBD 💻 Information Technology 🗓️ September 22nd, 2026

Edtech.com's Summary

Open LMS is hiring a Cloud Infrastructure Engineer (Open LMS) Hungary to join the team building and scaling its multi-tenant SaaS hosting platform on AWS, which dynamically provisions and manages hundreds of Moodle LMS instances for education clients. This is a hands-on role that spans Terraform, Puppet, and Python rather than container orchestration, since the platform runs on VMs instead of Kubernetes. Whoever joins gets real influence over how the architecture evolves as the platform keeps growing.

Highlights
  • Builds and scales AWS infrastructure with Terraform across EC2, RDS, S3, SQS, Lambda, ALB, ElastiCache, Route 53, and VPC networking.
  • Maintains Puppet modules that configure and manage fleets of EC2 instances spanning several auto-scaling groups.
  • Develops Python automation and long-running daemons that keep platform operations running smoothly.
  • Manages distributed service discovery and configuration through etcd, including watch APIs and TTL-based locking.
  • Tunes a multi-tier cache made up of Varnish, Redis/Valkey, and PHP OPcache.
  • Scales an observability stack of Prometheus, Grafana, Loki, Fluentd, and PagerDuty and shares in on-call coverage.
  • Drives incident response and root-cause analysis to keep the platform reliable.
  • Brings deep Linux (Ubuntu) expertise plus a working understanding of consensus, leader election, and eventual consistency tradeoffs.
  • Collaborates through a GitLab-based CI/CD workflow and communicates technical tradeoffs clearly to stakeholders.
  • Evaluates emerging distributed storage systems, such as Ceph or JuiceFS, as candidates for the platform's next stage.

Cloud Infrastructure Engineer (Open LMS) Hungary Full Description

Role Description
We are looking for a Senior Cloud Infrastructure Engineer to join our team and help build, scale, and evolve our multi-tenant SaaS hosting platform on AWS. Our platform dynamically provisions, manages, and scales hundreds of Moodle LMS instances for education clients — powered by custom orchestration tooling, distributed service discovery, and infrastructure as code.
This is a hands-on infrastructure role. You'll work across the full stack — from Terraform modules and Puppet manifests to Python automation and observability pipelines. The platform is not containerised — there is no Kubernetes here — so we're looking for someone who understands Linux systems deeply and can reason about distributed systems problems from first principles.
You'll have real ownership and influence over the platform's architecture and direction as we continue to grow and evolve the infrastructure.

What You'll Be Doing
  • Designing, building, and maintaining AWS infrastructure using Terraform (EC2, RDS, S3, SQS, Lambda, ALB, ElastiCache, Route 53, VPC networking)
  • Writing and maintaining Puppet modules to configure and manage fleets of EC2 instances across multiple auto-scaling groups
  • Maintaining and extending Python-based automation and tooling that supports platform operations
  • Operating and improving distributed service discovery and configuration management (etcd)
  • Managing and tuning a multi-tier caching strategy (Varnish, Redis/Valkey, PHP OPcache)
  • Running and scaling our observability stack (Prometheus, Grafana, Loki, Fluentd, PagerDuty) and participating in on-call rotations
  • Evaluating and implementing distributed storage solutions as the platform evolves
  • Improving deployment workflows and release processes
  • Collaborating with internal teams on API contracts, integration patterns, and operational tooling
  • Participating in incident response, root cause analysis, and platform reliability improvements

Skills and Aptitudes
  • Strong experience with AWS services in production — particularly EC2, RDS, S3, SQS, Lambda, ALB, ElastiCache, Route 53, IAM, and VPC networking
  • Proficiency in authoring and maintaining Terraform modules for production infrastructure
  • Proficiency in authoring and maintaining Puppet modules (or equivalent agent-based configuration management) for fleet management
  • Solid Python skills — you'll be writing and maintaining production daemons, not just scripts
  • Deep Linux systems knowledge (Ubuntu) — comfortable with Apache/Nginx, PHP-FPM, Varnish, systemd, filesystem mounts, and networking fundamentals
  • Understanding of distributed systems concepts: consensus, leader election, distributed locking, eventual consistency, and the tradeoffs involved
  • Proficiency in building and maintaining observability pipelines (Prometheus, Grafana, Loki, or equivalent) in production
  • Comfortable working in a GitLab-based CI/CD workflow
  • Clear communicator who can document architectural decisions and explain technical tradeoffs to both technical and non-technical stakeholders

Additionally, a Top Candidate Will Exhibit One or More of the Following Preferred Qualifications
  • Hands-on experience with distributed storage systems such as Ceph, GlusterFS, JuiceFS, CubeFS, or AWS EFS — particularly in the context of migration or evaluation
  • Familiarity with etcd (or similar distributed key-value stores like Consul or ZooKeeper) including watch APIs, TTL-based locking, and cluster operations
  • Experience with Varnish and VCL, especially dynamic backend routing or multi-tenant configurations
  • Working knowledge of PHP — not to build applications, but to understand and maintain integration scripts that bridge infrastructure and application layers
  • Background in multi-tenant SaaS platform design — particularly database-per-tenant models on shared infrastructure
  • Familiarity with Moodle LMS or education technology platforms
  • Experience with secrets management solutions (AWS Secrets Manager, HashiCorp Vault, Parameter Store) and automated credential rotation
  • Experience designing zero-downtime deployment strategies for VM-based (non-containerized) environments

Open LMS is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, or any other protected factor.