Platform Engineer

Stealth AI Startup; London; Hybrid; GBP 90,000 - 110,000; Full time

Job summary

Stealth AI Startup, a leading seed-stage AI company, is seeking a Platform Engineer to develop the backbone of its AI systems. In this role, you will utilize your deep cloud mastery, CI/CD experience, and ability to manage Kubernetes clusters to shape our multi-cloud platform. We're offering a competitive salary, flexible hybrid working, and an opportunity to define our engineering culture while leaving a significant mark in the sector.

Benefits

Private healthcare

Pension scheme

Annual off-site retreat

Meaningful equity options

Visa sponsorship available

Qualifications

• Experience with AWS, Kubernetes, and CI/CD tools.
• Strong background in system design and cloud technologies.
• Ability to explain complex concepts simply to non-technical colleagues.

Responsibilities

• Design and maintain the cloud-native architecture for AI agents.
• Manage multi-cloud platforms and Kubernetes clusters.
• Ensure security and compliance in systems.

Skills

Cloud mastery with AWS

Containers and orchestration

Infrastructure as code

CI/CD pipeline experience

Observability and SRE mindset

Security-first approach

Proficiency in systems language

Education

Degree in Computer Science or related field

Job description

This range is provided by Stealth AI Startup. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Stealth AI Startup

Fractional Talent Partner at Cult Mia, Housr, InvestorHub & Fuel Ventures. Fixed-Fee & Subscription Model for Start-Ups.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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