Infrastructure Engineer | Zürich

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About the Company

Our client is building the intelligent software layer that enables robots and sensors to perform dangerous and security-critical tasks in the physical world.

Combining AI, robotics, cloud infrastructure, and edge computing, the team is developing the orchestration platform behind autonomous security systems designed to protect people and critical infrastructure.

You will join a small, highly technical founding team in Zürich, working alongside specialists in AI, robotics, and physics to build systems that move from research into real-world deployment.

• Location: Zürich, Switzerland — On-site
• Remote Work: Considered only for exceptional candidates
• Employment Type: Full-time
• Level: Mid-Senior Level
• Visa & Relocation: Full support available across Europe

About the Role

As an Infrastructure Engineer – Cloud & Edge Robotics , you will build the platform connecting the company's robot fleet with cloud services, operators, and engineering teams.

You will own the infrastructure that allows software to move reliably and securely from a developer's laptop to robots operating in customer environments. Your scope will include cloud foundations, Kubernetes, secure networking, CI/CD, observability, edge fleet management, and developer tooling.

This is a foundational builder role, not a position focused on maintaining mature systems. The infrastructure you create will define how the company develops, deploys, and operates software for years to come.

What You'll Do

Cloud Infrastructure;

• Build and operate secure cloud foundations across AWS or GCP
• Own networking, IAM, security controls, reliability, and infrastructure costs
• Develop scalable infrastructure using Terraform, Pulumi, or similar tools
• Make pragmatic architecture decisions suited to an early-stage company

Kubernetes & Edge Runtime;

• Build and operate Kubernetes environments across cloud, on-premise, and edge deployments
• Use lightweight distributions such as K3s for robots and customer environments
• Manage container images, workload orchestration, secrets, upgrades, and runtime security
• Design infrastructure that remains reliable in limited-connectivity environments

Secure Connectivity;

• Build hardened communication between cloud services, operators, and robots in the field
• Own VPNs, TLS, certificates, PKI, firewalls, and identity controls
• Support secure deployments for enterprise, government, and security-sensitive customers
• Establish audit trails, secrets management, and baseline infrastructure hardening

CI/CD & Deployment;

• Build fast, repeatable deployment pipelines for cloud services and on-robot software
• Improve build, testing, release, and rollback processes
• Support over-the-air updates, configuration management, and fleet-wide deployments
• Reduce deployment risk while enabling the team to ship quickly

Observability & Reliability;

• Implement logging, metrics, tracing, dashboards, and alerting across cloud and edge systems
• Build incident-response capabilities that scale with the product
• Improve visibility into robot health, connectivity, workloads, and deployment status
• Design for resilience across distributed and on-premise environments

Developer Experience;

• Build internal tools, local development environments, and testing infrastructure
• Remove friction for AI, robotics, and software engineers
• Automate repetitive operational work
• Help the engineering team move faster without compromising reliability or security

What We're Looking For

Must Have;

• 4+ years of experience in Platform Engineering, DevOps, SRE, Cloud Infrastructure, or a related role
• Strong hands-on experience with AWS or GCP
• Production-level Kubernetes expertise
• Experience with lightweight Kubernetes distributions such as K3s
• Strong Infrastructure-as-Code experience with Terraform, Pulumi, or similar tools
• Solid networking and security fundamentals, including VPNs, TLS, PKI, certificates, and firewalls
• Experience building and operating CI/CD pipelines using GitHub Actions, GitLab CI, or similar tools
• Ability to write production-quality code in Python, Go, or another systems-oriented language
• Experience building infrastructure or internal platforms from the ground up
• High ownership, autonomy, and comfort working in an early-stage environment

Nice to Have;

• Experience deploying software to robots, IoT devices, or other edge hardware
• Experience with OTA updates, A/B deployments, fleet management, and rollback strategies
• Background in robotics, defence, security, industrial systems, or autonomous platforms
• Experience with on-premise or air-gapped environments
• Familiarity with Grafana, Prometheus, Datadog, or OpenTelemetry
• Experience supporting ML infrastructure, GPU workloads, model serving, or training systems
• Experience building developer platforms that materially improved engineering velocity

What Success Looks Like

• Engineers can deploy safely and quickly from development to cloud and robot fleets
• Cloud and edge systems remain observable, secure, and reliable as deployments scale
• New customer environments can be launched without rebuilding infrastructure from scratch
• Deployment failures can be diagnosed and rolled back quickly
• Infrastructure supports growth without becoming a bottleneck for the engineering team

What We Offer

• Competitive compensation with meaningful equity potential
• Full visa and relocation support across Europe
• High ownership over foundational infrastructure
• Direct collaboration with the founders
• Access to real robot fleets, field data, and modern computing resources
• Work alongside experts in AI, robotics, and physics
• A small, international, low-ego team focused on shipping systems that work
• The opportunity to shape the infrastructure behind a new generation of autonomous security technology

If you want to build the secure cloud and edge infrastructure that brings autonomous robots into the real world, we would love to hear from you...