Platform Engineer (City of London)
Platform Engineer (City of London)

Platform Engineer (City of London)

London Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build a cloud-native platform for AI agents, ensuring speed, security, and reliability.
  • Company: Join a cutting-edge AI start-up transforming enterprise workflows with innovative technology.
  • Benefits: Enjoy a competitive salary, hybrid work flexibility, private healthcare, and equity options.
  • Why this job: Be part of a mission-driven team shaping the future of AI in a supportive culture.
  • Qualifications: Deep knowledge of AWS, Kubernetes, CI/CD, and proficiency in a systems language like Go or Python.
  • Other info: Visa sponsorship available for exceptional talent; opportunity to influence engineering culture.

The predicted salary is between 72000 - 88000 £ per year.

Who we are

We are a seed-stage AI start-up backed by leading European and US funds. Our founders previously built and deployed cutting-edge AI systems at world-class research labs and high-growth technology companies. We apply next-generation AI agents to transform mission-critical enterprise workflows that currently depend on brittle, manual processes. Our goal is to make these workflows safer, faster and far more resilient through thoughtful, responsible AI.

What you'll be doing:

  • You will design, build and run the cloud-native backbone that powers our AI agent workers at scale.
  • Shape a multi-cloud platform (AWS first, Azure next) with infrastructure as code and GitOps, balancing speed, cost and security.
  • Run high-throughput Kubernetes clusters (EKS), adding service mesh, policy enforcement and self-service tooling so product teams can ship confidently.
  • Own CI/CD from commit to production, creating automated tests, image scanning and progressive roll-outs that make releases routine.
  • Build end-to-end observability (metrics, traces, logs, alerts) so engineers and customers trust system health.
  • Champion security and compliance, including secrets management, zero-trust networking, least-privilege IAM and audit trails ready for GDPR and SOC 2.
  • Partner with AI and product engineers to shape runtime environments and data pipelines for large-scale model serving.
  • Continuously tune reliability and cost through chaos testing, capacity planning and proactive incident response.

What we think “great” looks like:

  • Deep cloud mastery with AWS, including networking, IAM, storage and compute.
  • Strong experience with containers and orchestration, such as Docker, Kubernetes, Helm and GitOps tools like Argo CD or Flux.
  • Comfort with infrastructure as code, for example well-structured Terraform modules, policy as code and reusable patterns.
  • Advocacy for CI/CD, building pipelines in GitHub Actions, GitLab CI or CircleCI with automated tests and security gates.
  • An observability and SRE mindset, using tools such as Prometheus, Grafana, Loki or ELK and OpenTelemetry.
  • A security-first but pragmatic approach, covering secrets management, image provenance and zero-trust networking.
  • Proficiency in at least one systems language (Go, Python or Java) and familiarity with modern event-driven architectures.
  • The ability to explain complex concepts in plain English to executives, customers and non-technical colleagues.

What we're offering:

  • Base salary from £90,000 - £110,000... plus meaningful equity in a company pre Series A.
  • Hybrid flexibility, with collaboration in person for the important work and remote working the rest of the time.
  • Private healthcare, pension scheme and an annual off-site to disconnect and recharge.
  • Visa sponsorship available for exceptional talent already eligible to work in the UK.
  • An opportunity to define the engineering culture and leave your mark on technology that could reshape a vast, underserved market.

Interview Process:

Following an initial screening call with our talent partner, the interview process will run as follows:

  • A 30-40 minute video chat with our founding CTO to explore mutual fit.
  • A take-home or live architectural exercise focused on practical system design, not puzzle questions.
  • A paid half-day on-site in our central London workspace to pair with the team, meet the founders and confirm the chemistry.
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Contact Detail:

Stealth AI Startup Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Platform Engineer (City of London)

Tip Number 1

Familiarise yourself with the specific cloud technologies mentioned in the job description, especially AWS and Kubernetes. Consider setting up a small project that utilises these tools to demonstrate your hands-on experience during interviews.

Tip Number 2

Engage with the community around infrastructure as code and CI/CD practices. Join forums or attend meetups where you can discuss best practices and learn from others, which will help you articulate your knowledge during the interview process.

Tip Number 3

Prepare to explain complex technical concepts in simple terms. Since the role requires communication with non-technical colleagues, practice breaking down your past projects into digestible pieces that highlight your problem-solving skills.

Tip Number 4

Research the company’s mission and values, particularly their focus on responsible AI. Be ready to discuss how your personal values align with theirs and how you can contribute to their goal of transforming enterprise workflows.

We think you need these skills to ace Platform Engineer (City of London)

Cloud Computing (AWS, Azure)
Kubernetes and Container Orchestration
Docker
GitOps Tools (Argo CD, Flux)
Infrastructure as Code (Terraform)
CI/CD Pipelines (GitHub Actions, GitLab CI, CircleCI)
Observability Tools (Prometheus, Grafana, ELK)
Security Best Practices (Secrets Management, Zero-Trust Networking)
Systems Programming (Go, Python, Java)
Event-Driven Architectures
Capacity Planning
Incident Response
Communication Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in cloud technologies, Kubernetes, and CI/CD practices. Use keywords from the job description to demonstrate your fit for the role.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and cloud engineering. Mention specific projects or experiences that align with the company's mission and the responsibilities of the role.

Showcase Technical Skills: In your application, emphasise your proficiency in systems languages like Go, Python, or Java. Provide examples of how you've used these skills in previous roles, particularly in relation to cloud-native environments.

Prepare for the Interview: Research the company’s technology stack and be ready to discuss your experience with AWS, Kubernetes, and observability tools. Prepare to explain complex concepts in simple terms, as this is crucial for the role.

How to prepare for a job interview at Stealth AI Startup

Showcase Your Cloud Mastery

Make sure to highlight your deep understanding of AWS, especially in areas like networking, IAM, and storage. Be prepared to discuss specific projects where you've successfully implemented cloud solutions.

Demonstrate Container Expertise

Discuss your experience with containers and orchestration tools like Docker and Kubernetes. Share examples of how you've used these technologies to improve deployment processes or system reliability.

Emphasise CI/CD Knowledge

Be ready to talk about your experience with CI/CD pipelines. Mention the tools you've used, such as GitHub Actions or GitLab CI, and explain how you've integrated automated tests and security gates into your workflows.

Communicate Complex Ideas Simply

Prepare to explain technical concepts in plain English. This is crucial for engaging with non-technical colleagues and executives, so practice breaking down complex ideas into easily digestible information.

Platform Engineer (City of London)
Stealth AI Startup
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