At a Glance
- Tasks: Maintain and enhance cloud infrastructure while contributing to backend development.
- Company: Locai Labs, a leading British AI company in Paddington, London.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Why this job: Join a dynamic team shaping cutting-edge AI technology with real-world impact.
- Qualifications: 1-3 years in DevOps or Cloud Engineering, with strong coding skills in Python or Node.js.
- Other info: Work closely with the CTO and enjoy a transparent, learning-focused environment.
The predicted salary is between 36000 - 60000 £ per year.
Locai Labs is The British Foundational AI Company based in Paddington London. We are dedicated to building world class large language models at the forefront of cost and efficiency. Our mission is to advance cutting-edge AI from within the UK by combining deep technical innovation with engineering excellence to create powerful scalable models that compete on the global stage. Our models are designed not just for performance, but for real-world deployment powering bespoke agentic applications that solve complex challenges across enterprise and consumer domains.
The Role
We are seeking a DevOps / Platform Engineer to maintain and enhance our existing platform infrastructure, with opportunities to contribute to backend development when needed. Our systems are already live and in active use, so your focus will be on reliability, performance, automation, observability, and clean, maintainable Infrastructure-as-Code. You’ll also support Python and Node.js backend services. This role is centred on operational excellence, continuous improvement, and technical ownership. The position is based at our Paddington HQ and reports directly to the Chief Technology Officer (CTO), ensuring close alignment with our technical vision and strategic roadmap.
Responsibilities
- Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure
- Write, review, and manage modular, reusable Terraform code
- Operate and enhance CI/CD pipelines using GitHub Actions
- Containerise and deploy backend applications using modern tooling (e.g., Docker, Kubernetes)
- Implement and manage comprehensive logging, monitoring, and alerting systems
- Contribute to the backend codebase for service integrations, internal tooling, and incident resolution
- Improve developer workflows and internal automation to increase team velocity
- Collaborate with engineers across the stack to ensure system reliability and scalability
Required Experience
- Proven experience operating production-grade systems in a live environment
- 1–3 years experience in DevOps, Cloud Engineering, or Platform Engineering roles
- Hands-on experience with Infrastructure-as-Code using Terraform (modular and reusable patterns preferred)
- Strong foundation in Linux, networking, and container technologies
- Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable)
- Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups, and access control.
- Familiarity with observability tools such as Prometheus, Grafana, ELK stack, or OpenTelemetry
- Experience with container orchestration platforms, particularly Kubernetes
- Ability to systematically troubleshoot and debug distributed systems
- Comfortable reading, modifying, and writing code in Python and/or Node.js
Nice to Have
- Production experience with Google Cloud Platform (GCP)
- Knowledge of security and IAM best practices, including role design, policy management, and access boundaries
- Experience optimising CI/CD pipelines for speed, reliability, and developer experience (e.g., caching, incremental builds, rollback strategies)
- Exposure to GitOps workflows or infrastructure automation frameworks
Environment & Culture
You will join a small, highly technical team where your voice will be heard, and your contributions will directly shape our platform and products. We value ownership, curiosity, and a collaborative mindset. You’ll work onsite at our Paddington HQ, embedded within a close-knit engineering team that values transparency, continuous learning, and impactful work. This role reports directly to the CTO, offering a unique opportunity to influence technical direction from the ground up.
Application Process
As part of your application, please complete the accompanying form in addition to submitting your CV. Interview Stages: Application Review – We assess your background and experience. Take-Home Technical Assessment – A practical exercise to evaluate your engineering approach and problem-solving skills. Technical & Team Fit Interview – A virtual discussion covering your technical expertise, past projects, and cultural alignment. In-Person Assessment at HQ – A final visit to our Paddington office for deeper technical discussions, collaboration exercises, and team interactions. Offer – Successful candidates will receive a formal offer following the final stage.
If this sounds like you, no need to send us your CV. Just fill in the form below 👇 https://forms.office.com/e/SxzudFsdi2
Strictly no agencies or recruiters. We are only accepting direct applications from candidates.
DevOps / Platform Engineer employer: Locai Labs
Contact Detail:
Locai Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps / Platform Engineer
✨Tip Number 1
Get familiar with the company and its mission. Locai Labs is all about cutting-edge AI, so show us you understand our goals and how your skills can help us achieve them. Research our projects and think about how you can contribute to our platform.
✨Tip Number 2
When you fill out the application form, be sure to highlight your hands-on experience with cloud platforms like GCP, AWS, or Azure. We want to see that you’ve got the chops to maintain and enhance our infrastructure, so don’t hold back on showcasing your relevant skills!
✨Tip Number 3
Prepare for the technical assessment by brushing up on your Infrastructure-as-Code skills, especially with Terraform. We’re looking for modular and reusable patterns, so practice writing clean, maintainable code that you’d be proud to share with us.
✨Tip Number 4
During the in-person assessment, be ready to collaborate and communicate effectively with our team. We value transparency and teamwork, so show us your problem-solving approach and how you work with others to tackle challenges head-on.
We think you need these skills to ace DevOps / Platform Engineer
Some tips for your application 🫡
Be Yourself: When filling out the application form, let your personality shine through! We want to get to know the real you, so don’t be afraid to share your unique experiences and perspectives.
Tailor Your Responses: Make sure to align your answers with the job description. Highlight your relevant skills and experiences that match what we’re looking for in a DevOps / Platform Engineer. It shows us you’ve done your homework!
Showcase Your Projects: If you’ve worked on any cool projects or have experience with technologies mentioned in the job description, make sure to include them! We love seeing practical examples of your work and how you tackle challenges.
Keep It Clear and Concise: While we appreciate detail, clarity is key! Make sure your responses are easy to read and straight to the point. This helps us understand your qualifications quickly and effectively.
How to prepare for a job interview at Locai Labs
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Google Cloud Platform, Terraform, and container orchestration tools like Kubernetes. Brush up on your Python and Node.js skills too, as you'll need to demonstrate your coding ability during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around maintaining production-grade systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you approached troubleshooting and debugging in distributed systems.
✨Demonstrate Continuous Improvement Mindset
Locai Labs values operational excellence and continuous improvement. Be ready to share examples of how you've optimised CI/CD pipelines or improved developer workflows in past positions. This shows that you not only understand the technical aspects but also care about enhancing team efficiency.
✨Cultural Fit is Key
Since this role involves close collaboration with a small team, be prepared to discuss how you align with their values of ownership, curiosity, and collaboration. Think of examples where you’ve worked effectively in a team setting and contributed to a positive work environment.