Infrastructure Engineer As an Infrastructure Engineer, you'll build the cloud and edge platform that connects autonomous robots with operator intelligence. You will own the infrastructure that enables software to move securely from developer laptops into production robot fleets.
This early, high‑impact engineering role shapes 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
Key Details
Location: Zürich, Switzerland (On‑site | Remote considered for exceptional candidates)
Employment Type: Full‑time
Level: Mid‑Senior Level
Visa Sponsorship & Relocation Support: Available
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This early, high‑impact engineering role shapes 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
Key Details
Location: Zürich, Switzerland (On‑site | Remote considered for exceptional candidates)
Employment Type: Full‑time
Level: Mid‑Senior Level
Visa Sponsorship & Relocation Support: Available
#J-18808-Ljbffr
Infrastructure Engineer – Cloud Platform & Edge Systems | Zürich Arbeitgeber: C&D Talent Advisory - Academy
Unser Kunde ist ein hervorragender Arbeitgeber, der die Möglichkeit bietet, als Founding Product Lead in Berlin an der Spitze der Transformation im Gesundheitswesen zu stehen. Mit einem wettbewerbsfähigen Gehalt und bedeutendem Eigenkapital haben Sie die Chance, direkt mit den Gründern zusammenzuarbeiten und die Produktstrategie von Grund auf zu gestalten. Die Unternehmenskultur fördert Innovation und Zusammenarbeit in einem kleinen, leistungsstarken Team, das sich auf die Verbesserung der Patientenversorgung konzentriert.
Kontaktdaten:
C&D Talent Advisory - Academy Recruiting-Team
