Infrastructure Engineer

As an Infrastructure Engineer, you'll build the cloud platform connecting our robot fleet to operator intelligence. You'll own cloud setup, deployment pipelines, CI/CD, container orchestration, and the secure networking that lets the engineering team ship code from laptop to robot reliably, securely, and at scale.

This is a critical early-stage hire. The systems you build will define how the company ships software for years. You'll work across the stack: infrastructure-as-code, container orchestration, secure connectivity, observability, edge fleet management, and developer experience. Because we deploy on-prem to security-sensitive customers, you'll care as much about hardened, self-contained deployments as you do about speed. You'll move fast where it matters and build things to last where it counts.

Details
Location: Zürich, Switzerland · On-site
Employment: Full-time
Seniority: Mid-Senior Level
Visa & work authorization: On-site in Zurich is the strong default; full visa and relocation support offered. Remote may be considered for an exceptional, perfect-fit candidate.

Our Mission
We believe robotics is entering a transformative decade, much like the arrival of the internet. Advances in AI, cloud computing, and hardware are reshaping what autonomous systems can do. Our mission is to build the intelligent software that powers physical security in the real world - enabling robots and sensors to handle dangerous and critical tasks that humans shouldn't have to. By engineering the orchestration layer for intelligent security, we aim to create a world that is safer, more secure, and more resilient.  We're a strong founding team based in Zurich, backed by visionary investors and advisors. We are engineering the future of security today!

Ideal candidate
We need a mid-senior engineer (4+ years) with a strong track record of building cloud infrastructure from the ground up in a startup environment. The non-negotiables are deep experience with a major cloud (AWS/GCP), production-level Kubernetes (including edge distributions like K3s), and Infrastructure-as-Code (Terraform). They must have solid networking and security fundamentals (VPN, TLS, PKI) and be proficient in a systems language like Python or Go. This is a hands-on builder role requiring end-to-end ownership, not just maintenance. The founding team is small, deeply technical (PhD-level), and focused on shipping. They are 'serious about building, but don't take themselves too seriously.' The ideal candidate is someone who geeks out on infrastructure, enjoys high levels of autonomy, and is motivated by building foundational systems with massive impact in a pre-seed environment.

What You'll Work On
Cloud infrastructure: AWS or GCP foundations, networking, security, IAM, cost controls
Secure networking: VPNs, certificate and PKI management, TLS, and hardened connectivity between cloud, operators, and robots in the field
CI/CD pipelines: fast, reliable, repeatable builds and deploys for both cloud services and on-robot software
Container orchestration and runtime: Kubernetes and lightweight distributions (K3s) for edge and on-prem, image build pipelines, secrets management
Edge and fleet management: OTA updates, configuration management, telemetry, secure connectivity to robots in the field
Observability: logging, metrics, tracing, dashboards, and alerting across cloud and edge (Grafana, Prometheus, and similar)
Developer experience: local environments, testing infrastructure, internal tooling that removes friction for the rest of the team
Security and compliance: baseline hardening, secrets, audit trails, and the foundations needed for enterprise and government customer trust

Who We're Looking For
We're looking for a senior infrastructure engineer who has built cloud infrastructure at startup scale, knows when to keep things simple and when to invest in durable foundations. You write code, you operate systems, you're comfortable owning the network and security layer, and you care about making the engineering team around you faster.

Your Background
4+ years in platform engineering, DevOps, SRE, or infrastructure roles
Deep experience with at least one major cloud (AWS, GCP, or Azure)
Strong with Kubernetes (including lightweight distributions like K3s) and infrastructure-as-code (Terraform, Pulumi)
Solid networking and security fundamentals: VPNs, TLS, certificate and PKI management, firewalls
Solid CI/CD chops: GitHub Actions, GitLab CI, or similar
Comfortable writing code in Python, Go, or similar systems languages
Track record of building developer-facing platforms that engineers actually liked using

Nice to have
Experience deploying software to edge devices or robot fleets (OTA, A/B updates, rollback)
Experience with on-prem or air-gapped environments
Background in security-sensitive environments: enterprise, defense, fintech, healthcare
Familiarity with observability stacks (Grafana, Prometheus, Datadog, OpenTelemetry)
Experience supporting ML workloads: training infrastructure, model serving, GPU orchestration

Interview process
1. Intro call with Co-founder/Hiring Manager
2. Half-day technical interview in the Zurich office, solving problems on the real codebase.
3. Final culture-fit call with CEO.
The entire process is designed to be completed in less than one week.

What We Offer
Mission: Build the foundation models that decide how robots see, reason, and act in the real world. Research with deployment, not papers without impact.
Autonomy: Real independence on what to train, how to evaluate, and how to ship.
Compute: Access to the compute and field data you need to do serious work.
Team: Work alongside PhD-level co-founders in AI, Robotics, and Physics, plus a strong founding engineering team.
Location: In-person in Zürich, Switzerland, with remote considered for exceptional candidates. Visa and relocation support available.
Culture: Small, international founding team that's serious about building, but doesn't take itself too seriously. Curiosity and quirks welcome.