At a Glance
- Tasks: Design and maintain AWS infrastructure, automate processes, and improve platform reliability.
- Company: Join Open LMS, a leader in education technology with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Make a real impact on a multi-tenant SaaS platform while working with cutting-edge technologies.
- Qualifications: Strong AWS experience, proficiency in Terraform and Puppet, and solid Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Role Description
We are looking for a Senior Cloud Infrastructure Engineer to join our team and help build, scale, and evolve our multi-tenant Saa S 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, Elasti Cache, 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, Pager Duty) 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, Elasti Cache, 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 Git Lab-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, Gluster FS, Juice FS, Cube FS, or AWS EFS — particularly in the context of migration or evaluation
- Familiarity with etcd (or similar distributed key-value stores like Consul or Zoo Keeper) 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 Saa S 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, Hashi Corp Vault, Parameter Store) and automated credential rotation
- Experience designing zero-downtime deployment strategies for VM-based (non-containerized) environments
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.
Cloud Infrastructure Engineer (Open LMS) UK, Remote employer: LTG
Watershed is an exceptional employer that values innovation and collaboration, offering a fully remote work environment that allows for flexibility and work-life balance. With a strong focus on employee growth, team members have access to continuous learning opportunities and the chance to contribute to impactful projects that drive customer success. Join a dynamic culture where your technical skills will be celebrated, and your contributions will directly influence the future of learning analytics.
