At a Glance
- Tasks: Design and maintain AWS infrastructure, automate processes, and improve platform reliability.
- Company: Join a forward-thinking company focused on education technology and cloud solutions.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and continuous learning.
- Why this job: Take ownership of innovative projects and shape the future of our SaaS platform.
- Qualifications: Strong AWS experience, proficiency in Terraform and Puppet, and solid Python skills.
The predicted salary is between 63000 - 77000 £ per year.
We 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.
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, 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
Skills and Aptitudes
- 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
Additionally, a Top Candidate Will Exhibit One or More of the Following Preferred Qualifications
- 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
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.
Full-Time
Infrastructure and Cloud Engineer (Fully Remote) employer: Learning Technologies Group
Watershed is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to thrive as a Customer Implementation Engineer. With a fully remote setup, you can enjoy the flexibility of working from anywhere in the UK or US while being part of a team dedicated to driving customer success through cutting-edge learning analytics solutions. The company prioritises employee growth, offering opportunities for professional development and the chance to make a meaningful impact on clients' learning ecosystems.
Contact Details:
Learning Technologies Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Infrastructure and Cloud Engineer (Fully Remote)
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Infrastructure and Cloud Engineer (Fully Remote)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Learning Technologies Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Learning Technologies Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Learning Technologies Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Learning Technologies Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.