Cloud Infrastructure Engineer

Open LMS; Colombia; On-site; COP 287,825,000 - 415,747,000; Full time

Job summary

Open LMS is seeking a Senior Cloud Infrastructure Engineer to design, build, and scale a multi-tenant SaaS hosting platform on AWS. The role spans Terraform, Puppet, Python automation, and observability, with a hands-on focus on Linux systems and distributed architecture.

You will own platform architecture, influence technical direction, and collaborate across teams to improve deployment workflows, incident response, and platform reliability.

Qualifications

• Strong experience with AWS in production (EC2, RDS, S3, SQS, Lambda, ALB, ElastiCache, Route 53, IAM, VPC)
• Proficiency in authoring Terraform modules for production infrastructure
• Proficiency in Puppet modules for fleet management
• Strong Python skills for production daemons
• Deep Linux systems knowledge (Ubuntu) and networking fundamentals
• Understanding of distributed systems concepts (consensus, leader election, eventual consistency)
• Experience with observability pipelines (Prometheus, Grafana, Loki) in production
• Comfortable with GitLab-based CI/CD workflow
• Clear communicator of architectural decisions and tradeoffs

Responsibilities

• Design, build, and maintain AWS infrastructure using Terraform
• Write and maintain Puppet modules to configure fleets of EC2 instances
• Maintain and extend Python-based automation and tooling
• Operate and improve distributed service discovery (etcd)
• Manage and tune multi-tier caching (Varnish, Redis, OPcache)
• Run and scale observability stack (Prometheus, Grafana, Loki) and participate in on-call rotations
• Evaluate and implement distributed storage solutions
• Improve deployment workflows and release processes
• Collaborate on API contracts and operational tooling
• Participate in incident response and root cause analysis

Skills

AWS proficiency

Terraform

Puppet

Python

Linux

Distributed systems

Observability

GitLab CI/CD

Communication

Tools

etcd

Ceph

Varnish

Redis

Prometheus

Grafana

PHP OPcache

Job 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

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.