Cloud Infrastructure Engineer

Job not on LinkedIn

🔥 15 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Learning Technologies Group plc

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2013

📚 Education

🏢 Enterprise

☁️ SaaS

Education • Enterprise • SaaS

Learning Technologies Group plc (LTG) is a market leader in the fast-growing workplace digital learning and talent management market. LTG offers large organisations a new approach to learning and talent in a business world driven by digital transformation. The company is uniquely positioned to capture growth opportunities in a substantial addressable market, providing solutions for recruitment, motivation, and retention of talent across global companies and government sectors.

📋 Description

• Design, build, and maintain AWS infrastructure using Terraform • Write and maintain Puppet modules for fleets of EC2 instances across multiple auto-scaling groups • Maintain and extend Python-based automation and tooling supporting platform operations • Operate and improve distributed service discovery and configuration management platforms • Manage and tune distributed caching technologies • Run and scale the observability stack, including Prometheus, Grafana, Loki, Fluentd, and PagerDuty • Participate in on-call rotations • Contribute to platform architecture decisions, scalability strategies, and infrastructure evolution for a large-scale multi-tenant SaaS environment • Evaluate and implement distributed storage solutions • Improve deployment workflows and release processes • Collaborate with internal teams on API contracts, integration patterns, and operational tooling • Participate in incident response, root cause analysis, and platform reliability improvements

🎯 Requirements

• 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 • Experience with infrastructure configuration management tools such as Puppet, Ansible, Chef, or Salt, with the ability to learn and maintain Puppet-based environments • Solid Python skills for writing and maintaining production daemons • Strong Linux systems administration experience, including web servers, networking, performance analysis, troubleshooting, and systems tuning in production environments, preferably with Ubuntu • Knowledge of PHP-FPM, Varnish, systemd, filesystem mounts, and networking fundamentals • Understanding of distributed systems concepts: consensus, leader election, distributed locking, eventual consistency, and related tradeoffs • Proficiency in building and maintaining observability pipelines using Prometheus, Grafana, Loki, or equivalent • Experience supporting and improving infrastructure deployment and release processes within a GitLab-based environment • Ability to document architectural decisions and explain technical tradeoffs to technical and non-technical stakeholders • Preferred: hands-on experience with distributed storage systems such as Ceph, GlusterFS, JuiceFS, CubeFS, or AWS EFS • Preferred: familiarity with etcd, Consul, or ZooKeeper, including watch APIs, TTL-based locking, and cluster operations • Preferred: experience with Varnish and VCL, especially dynamic backend routing or multi-tenant configurations • Preferred: working knowledge of PHP • Preferred: background in multi-tenant SaaS platform design, particularly database-per-tenant models on shared infrastructure • Preferred: familiarity with Moodle LMS or education technology platforms • Preferred: experience with AWS Secrets Manager, HashiCorp Vault, or Parameter Store and automated credential rotation • Preferred: experience designing zero-downtime deployment strategies for VM-based, non-containerized environments

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