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Cloud Infrastructure Engineer
Learning Technologies Group plc. Design, build, and maintain AWS infrastructure using Terraform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining AWS infrastructure, with strong proficiency in Terraform and Puppet for configuration management. Capable of enhancing observability and reliability in distributed systems while effectively collaborating with cross-functional teams.
Highest-signal resume keywords
AWS Services ProficiencyTerraform Module DevelopmentPuppet Module ManagementPython Automation SkillsProduction Observability Pipelines
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWS EC2AWS RDSAWS S3AWS LambdaTerraformPuppetPythonLinux SystemsPrometheusGrafana
Soft Skills
Clear CommunicationDocumentation Skills
Tools & Technologies
VarnishRedisFluentdPagerDutyEtcdGitLab CI/CDApacheNginxPHP-FPMAWS Secrets Manager
Industry Keywords
Multi-Tenant SaaSMoodle LMSDistributed SystemsIncident ResponseRoot Cause Analysis
Tech Stack
Tools & technologiesApacheAWSDistributed SystemsEC2GrafanaLinuxNGINXPHPPrometheusPuppetPythonRedisTerraformVault
About the role
Key responsibilities & impact- 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 using etcd
- Manage and tune Varnish, Redis/Valkey, and PHP OPcache caching layers
- Run and scale Prometheus, Grafana, Loki, Fluentd, and PagerDuty observability systems
- Participate in on-call rotations
- 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
- Help build, scale, and evolve Open LMS's multi-tenant SaaS hosting platform on AWS for Moodle LMS instances
Requirements
What you’ll need- 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, including production daemons
- Deep Linux systems knowledge, specifically Ubuntu
- Experience with Apache/Nginx, PHP-FPM, Varnish, systemd, filesystem mounts, and networking fundamentals
- Understanding of distributed systems concepts, including consensus, leader election, distributed locking, eventual consistency, and tradeoffs
- Proficiency in production observability pipelines using Prometheus, Grafana, Loki, or equivalent
- Comfort working in a GitLab-based CI/CD workflow
- Clear communication and ability to document architectural decisions and explain technical tradeoffs to technical and non-technical stakeholders
- Hands-on experience with distributed storage systems such as Ceph, GlusterFS, JuiceFS, CubeFS, or AWS EFS is preferred
- Familiarity with etcd or similar distributed key-value stores, including watch APIs, TTL-based locking, and cluster operations is preferred
- Experience with Varnish and VCL is preferred
- Working knowledge of PHP is preferred
- Background in multi-tenant SaaS platform design is preferred
- Familiarity with Moodle LMS or education technology platforms is preferred
- Experience with AWS Secrets Manager, HashiCorp Vault, Parameter Store, and automated credential rotation is preferred
- Experience designing zero-downtime deployment strategies for VM-based, non-containerized environments is preferred
Benefits
Comp & perks- Equal employment opportunity/affirmative action employer
- Full-time employment