At a Glance
- Tasks: Lead the design and operation of a cutting-edge cloud platform for AI products.
- Company: Join i.AI, an innovative incubator focused on transforming public sector technology.
- Benefits: Enjoy competitive salary, hybrid working, generous leave, and professional development opportunities.
- Other info: Collaborative environment with career-defining projects and growth opportunities.
- Why this job: Make a real impact in AI while shaping the future of cloud infrastructure.
- Qualifications: Hands-on experience with cloud platforms, strong technical leadership, and a passion for AI.
The predicted salary is between 60000 - 80000 £ per year.
Overview
Lead Cloud Platform Engineer role at i.
AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery.
This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts.
The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement.
Responsibilities
- End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on.
- Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction.
- AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control.
- Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use Gen AI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows.
- Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence.
- What you will thrive on
- Strong hands-on experience building and operating production cloud platforms, with AWS preferred.
- Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting).
- Interest in applying Gen AI/LLM tooling to reduce operational work and improve resilience.
- Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code.
- Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs).
- Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards.
- Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience.
- Ability to coach others and raise technical standards.
What we offer
- Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector.
- Access to frontier models, compute resources, and a supportive, mission-driven team.
- Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early.
- Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions.
- Our stack
- Cloud infrastructure: AWS (ECS, Lambda, Cloud Front, RDS, S3) with multi-cloud patterns across Azure and GCP.
- Containerisation and delivery: Docker, container orchestration, Git Hub Actions, and deployment patterns (rolling, canary, blue-green).
- Development: Terraform, Python with Fast API, Java Script/Type Script with Next. js, Astro, Node. js.
- AI platform layer: tooling for model routing, tracing, evaluation (Lite LLM, Langfuse) with Lang Graph, DSPy, Inspect.
- AI harness: Open Code and Claude Code; access to frontier models from Open AI, Anthropic, Google.
- Observability: AWS Cloud Watch, Grafana, Sentry, X Ray.
- Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management.
- Selection Process
- UK government clearance process with sponsorship if needed.
- Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation.
- Diversity and Inclusion information and privacy notices are provided as part of the process.
Salary: £69,675 — £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
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Lead Cloud Platform Engineer, AI Platform in London employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Cloud Platform Engineer, AI Platform in London
✨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 Doist 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 Doist.
✨Tap into Online Developer Communities
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We think you need these skills to ace Lead Cloud Platform Engineer, AI Platform in London
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 Doist.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Doist 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 Doist
✨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 Doist 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.
