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.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Infrastructure Engineer (Open LMS) UK, Remote
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at LTG or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to LTG.
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We think you need these skills to ace Cloud Infrastructure Engineer (Open LMS) UK, 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 LTG.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at LTG 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 LTG
✨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 LTG 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.
