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Infrastructure Engineer - Cloud & Edge Platform

c&d talent advisory - academy • United Kingdom
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AI Summary

Build and maintain cloud and edge infrastructure for autonomous security robots, including secure networking, CI/CD pipelines, Kubernetes environments, and OTA deployment capabilities. Design observability and developer tooling while ensuring platform security and scalability. Requires 4+ years of platform engineering experience with AWS/GCP/Azure, Kubernetes, Terraform, and strong networking/security fundamentals.

Key Highlights
Cloud and edge infrastructure for autonomous robots
Secure networking, VPN, PKI, TLS, identity management
Kubernetes and K3s environments for cloud, edge, on-prem
CI/CD pipelines and OTA deployment for robot fleets
Infrastructure-as-Code with Terraform or Pulumi
Observability using Prometheus, Grafana, OpenTelemetry
Key Responsibilities
Design and build cloud infrastructure across AWS, GCP, or Azure
Develop secure networking, VPN, PKI, TLS, and identity management across cloud and edge environments
Build and maintain modern CI/CD pipelines for cloud services and robot deployments
Design Kubernetes and K3s environments for cloud, edge, and on-prem deployments
Build secure OTA deployment and fleet management capabilities
Develop Infrastructure-as-Code using Terraform or Pulumi
Improve observability using Prometheus, Grafana, OpenTelemetry, or similar platforms
Create internal developer platforms and tooling that improve engineering productivity
Strengthen platform security through secrets management, audit logging, and infrastructure hardening
Collaborate closely with AI, Robotics, and Software Engineering teams
Technical Skills Required
Cloud infrastructure (AWS, GCP, Azure) Kubernetes (including K3s) Infrastructure-as-Code (Terraform, Pulumi) Networking and security (VPN, PKI, TLS, firewalls) CI/CD pipelines (GitHub Actions, GitLab CI) Python or Go programming
Benefits & Perks
Competitive salary with meaningful equity
Visa and relocation support
Direct collaboration with experienced founders and PhD-level engineers
Significant ownership over core platform architecture
International, collaborative, highly technical environment
Nice to Have
Edge computing, IoT, or robotics fleet deployment experience
OTA updates, A/B deployments, or fleet management
Air-gapped or on-premise environments
Security-sensitive industries such as defense, fintech, or healthcare
ML infrastructure, GPU orchestration, or model serving
Prometheus, Grafana, Datadog, or OpenTelemetry experience

Job Description


About The Hiring Process

One application can unlock multiple opportunities. Our AI-powered matching platform considers your profile not only for this role, but also for other relevant opportunities across our client network.

We only advertise genuine, active opportunities. If you're a strong match, we'll be in touch. If not, we won't spam you.

About The Company

Our client is building the intelligent software layer powering the next generation of autonomous security systems. Combining AI, robotics, cloud infrastructure, and edge computing, they enable robots and intelligent sensors to perform critical real-world security operations safely, reliably, and at scale.

Backed by experienced founders, leading investors, and a world-class technical team, they're building the infrastructure powering the future of autonomous robotics.

  • Location: Zürich, Switzerland (On-site | Remote considered for exceptional candidates)
  • Employment Type: Full-time
  • Level: Mid-Senior Level
  • Visa Sponsorship & Relocation Support: Available


About The Role

As an Infrastructure Engineer, you'll build the cloud and edge platform connecting autonomous robots with operator intelligence. You'll own the infrastructure that enables software to move securely from developer laptops into production robot fleets.

This is an early, high-impact engineering hire where you'll shape cloud architecture, deployment pipelines, Kubernetes infrastructure, secure networking, observability, and developer tooling from the ground up.

What You'll Do

  • Design and build cloud infrastructure across AWS, GCP, or Azure
  • Develop secure networking, VPN, PKI, TLS, and identity management across cloud and edge environments
  • Build and maintain modern CI/CD pipelines for cloud services and robot deployments
  • Design Kubernetes and K3s environments for cloud, edge, and on-prem deployments
  • Build secure OTA deployment and fleet management capabilities
  • Develop Infrastructure-as-Code using Terraform or Pulumi
  • Improve observability using Prometheus, Grafana, OpenTelemetry, or similar platforms
  • Create internal developer platforms and tooling that improve engineering productivity
  • Strengthen platform security through secrets management, audit logging, and infrastructure hardening
  • Collaborate closely with AI, Robotics, and Software Engineering teams


What We're Looking For

  • 4+ years of experience in Platform Engineering, DevOps, SRE, or Infrastructure Engineering
  • Strong production experience with AWS, GCP, or Azure
  • Deep Kubernetes expertise, including K3s or other lightweight distributions
  • Strong Infrastructure-as-Code experience with Terraform, Pulumi, or similar
  • Solid networking and security fundamentals including VPNs, TLS, PKI, firewalls, and secure connectivity
  • Experience building CI/CD pipelines using GitHub Actions, GitLab CI, or similar
  • Programming experience with Python, Go, or another systems language
  • Experience building developer platforms and internal engineering tooling
  • Builder mindset with strong ownership and the ability to work autonomously in a fast-moving startup


Nice to Have

  • Edge computing, IoT, or robotics fleet deployment experience
  • OTA updates, A/B deployments, or fleet management
  • Experience with air-gapped or on-premise environments
  • Security-sensitive industries such as defense, fintech, or healthcare
  • Experience supporting ML infrastructure, GPU orchestration, or model serving
  • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry


What We Offer

  • Competitive salary with meaningful equity
  • Visa and relocation support
  • Direct collaboration with experienced founders and PhD-level engineers
  • Significant ownership over core platform architecture
  • Opportunity to build foundational infrastructure from day one
  • International, collaborative, and highly technical environment
  • Mission-driven company building the future of intelligent robotics


Build the cloud infrastructure powering the next generation of autonomous robotics and help shape the future of intelligent security systems...

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