Cloud Infrastructure Engineer

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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

• 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

🎯 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 • 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. • 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.

🏖️ Benefits

• 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.