Cloud Platform Engineer, AI Score
£80-100k
2-3 days a week in office
Platform for AI visibility and control
Be an early applicant
Platform for AI visibility and control
1-20 employees
Be an early applicant
£80-100k
2-3 days a week in office
1-20 employees
Company mission
To empower organisations with the clarity and intelligence to explore, build and thrive in the age of AI.
Role
Who you are
- You are likely someone who:
- Has strong SaaS platform experience
- You have built and operated production SaaS systems with real uptime expectations
- You understand multi-environment delivery, operational hygiene, and customer trust requirements
- Brings real DevSecOps experience
- You treat security as an engineering problem solved through automation and defaults, and as a non-negotiable
- You know how to implement practical controls that improve security without slowing delivery to a halt
- Is strong on Terraform and cloud fundamentals
- You have deep experience with Terraform, including module design and safe rollout patterns
- You have strong hands-on experience with at least one major cloud platform
What the job involves
- As a Cloud Platform Engineer you will build and run the platform foundations that power AI Score’s product and customer deployments
- You will own the Cloud infrastructure, controls, CI/CD pipelines, and operational guardrails that enable fast, safe product delivery. You will strengthen reliability, observability, and incident response
- You will make the developer experience faster and calmer. You will raise the security baseline through DevSecOps practices and automation
- This is a hands-on role in a seed-stage company. You will ship meaningful platform improvements continuously and you will influence engineering velocity and customer trust directly
- Platform Engineering and cloud operations:
- Build, maintain, and evolve AI Score’s cloud infrastructure across Azure, with strong working knowledge of AWS and GCP
- Deliver secure, repeatable environments for development, staging, and production
- Design for reliability, scalability, and cost discipline, with clear SLOs and pragmatic capacity planning
- Infrastructure as code:
- Own Terraform patterns, modules, and workflows that standardise how infrastructure is defined, reviewed and deployed
- Drive safe change management through versioned infrastructure, review gates, and automated validation
- Reduce manual operation work through repeatable automation
- DevSecOps:
- Embed security controls into the delivery pipeline: scanning, policy enforcement, secrets management, and least-privilege access
- Maintain strong identity and access management practices across environments
- Support compliance-driven requirements with audit-friendly controls and evidence generation
- CI/CD and developer experience:
- Build and improve CI/CD pipelines that are fast, reliable, and measurable
- Raise quality through consistent build/test/release workflows and clear release artefacts
- Improve the developer experience with better local workflows, templates, and self-serve tooling
- Observability, reliability, and incident response:
- Strengthen logging, metrics, tracing, alerting, and dashboards so issues are visible before customers notice
- Improve on-call readiness through runbooks, playbooks, and post-incident learning
- Lead and implement reliability improvements that reduce time to recovery
Salary benchmarks
Our take
AI is evolving at such a rapid pace and undertakes such complex processes that it is often hard for the organisations using it to understand the actions taking place, let alone ensure compliance with laws and regulations. AI Score is an intelligence platform that helps businesses gain better insight into the AI they’re using.
Acting as an AI watchdog and value analysis tool, AI Score keeps users in the loop about who is using the AI programmes, for what reasons, and across which platforms. It helps companies gain a better understanding of the tools they’re using, especially important at a time of heightened distrust of and obfuscation of the processes at play. The company also sells itself as an innovation guide, as opposed to a hindrance, operating under the ethos that continuous monitoring for security and policy concerns keeps AI within safe and efficient boundaries.
Founded by cybersecurity experts, AI Score is a refreshing antidote to the plug-and-play snowballing of AI adoption. Working towards a safer framework and guardrails for responsible AI adoption, it will no doubt find a large client base wanting to balance innovation and responsibility.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Nov 2025
$1.1m
SEED
Total funding: $1.1m
Company benefits
- 30 days annual leave
Leadership
Benita Tibb
(Co-Founder & COO)Previously Chief of Staff at GALLOS Technologies and NooK. Also previously Co-Founded Clicc and served as an Associate at White & Case LLP.
Alex Harland
(Co-Founder & CEO)Previously CISO Advisor at GALLOS Technologies, Head of Cybersecurity at Compare The Market, Head of Cybersecurity at BGL Insurance and was a National Incident Manager at the National Cyber Security Centre.
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