Infrastructure Engineer

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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 companys robot fleet with cloud services operators and engineering teams.

You will own the infrastructure that allows software to move reliably and securely from a developers 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 Youll 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 Were 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...