{"id":443126,"url":"https://alion.io/job/learning-technologies-group-cloud-infrastructure-engineer-open-lms-uk-remote","title":"Cloud Infrastructure Engineer (Open LMS) UK, Remote","company":{"id":172319,"name":"Learning Technologies Group","domain":"ltgplc.com","url":"https://alion.io/company/learning-technologies-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-29T05:49:05Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":143000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache HTTP Server","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"etcd","optional":false},{"name":"Fluentd","optional":false},{"name":"GitLab","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Loki","optional":false},{"name":"Nginx","optional":false},{"name":"PagerDuty","optional":false},{"name":"PHP","optional":false},{"name":"PHP-FPM","optional":false},{"name":"Prometheus","optional":false},{"name":"Puppet","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Terraform","optional":false},{"name":"Ubuntu","optional":false},{"name":"Consul","optional":true},{"name":"HashiCorp Vault","optional":true},{"name":"ZooKeeper","optional":true}],"status":"live","first_seen_at":"2026-07-24T14:21:16Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-10-29T08:48:52Z","board_verified":true,"closed_at":null,"days_open":96,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":96},"description":"Role Description\nWe 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.\nThis 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.\nYou'll have real ownership and influence over the platform's architecture and direction as we continue to grow and evolve the infrastructure.\nWhat You'll Be Doing\nDesigning, building, and maintaining AWS infrastructure using Terraform (EC2, RDS, S3, SQS, Lambda, ALB, ElastiCache, Route 53, VPC networking)\nWriting and maintaining Puppet modules to configure and manage fleets of EC2 instances across multiple auto-scaling groups\nMaintaining and extending Python-based automation and tooling that supports platform operations\nOperating and improving distributed service discovery and configuration management (etcd)\nManaging and tuning a multi-tier caching strategy (Varnish, Redis/Valkey, PHP OPcache)\nRunning and scaling our observability stack (Prometheus, Grafana, Loki, Fluentd, PagerDuty) and participating in on-call rotations\nEvaluating and implementing distributed storage solutions as the platform evolves\nImproving deployment workflows and release processes\nCollaborating with internal teams on API contracts, integration patterns, and operational tooling\nParticipating in incident response, root cause analysis, and platform reliability improvements\nSkills and Aptitudes\nStrong experience with AWS services in production - particularly EC2, RDS, S3, SQS, Lambda, ALB, ElastiCache, Route 53, IAM, and VPC networking\nProficiency in authoring and maintaining Terraform modules for production infrastructure\nProficiency in authoring and maintaining Puppet modules (or equivalent agent-based configuration management) for fleet management\nSolid Python skills - you'll be writing and maintaining production daemons, not just scripts\nDeep Linux systems knowledge (Ubuntu) - comfortable with Apache/Nginx, PHP-FPM, Varnish, systemd, filesystem mounts, and networking fundamentals\nUnderstanding of distributed systems concepts: consensus, leader election, distributed locking, eventual consistency, and the tradeoffs involved\nProficiency in building and maintaining observability pipelines (Prometheus, Grafana, Loki, or equivalent) in production\nComfortable working in a GitLab-based CI/CD workflow\nClear communicator who can document architectural decisions and explain technical tradeoffs to both technical and non-technical stakeholders\nAdditionally, a Top Candidate Will Exhibit One or More of the Following Preferred Qualifications\nHands-on experience with distributed storage systems such as Ceph, GlusterFS, JuiceFS, CubeFS, or AWS EFS - particularly in the context of migration or evaluation\nFamiliarity with etcd (or similar distributed key-value stores like Consul or ZooKeeper) including watch APIs, TTL-based locking, and cluster operations\nExperience with Varnish and VCL, especially dynamic backend routing or multi-tenant configurations\nWorking knowledge of PHP - not to build applications, but to understand and maintain integration scripts that bridge infrastructure and application layers\nBackground in multi-tenant SaaS platform design - particularly database-per-tenant models on shared infrastructure\nFamiliarity with Moodle LMS or education technology platforms\nExperience with secrets management solutions (AWS Secrets Manager, HashiCorp Vault, Parameter Store) and automated credential rotation\nExperience designing zero-downtime deployment strategies for VM-based (non-containerized) environments\nOpen 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 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