StellenbeschreibungpAs 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. /p pThis 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. /p pbrDetailsbrLocation: Zürich, Switzerland · On-sitebrEmployment: Full-timebrSeniority: Mid-Senior LevelbrVisa 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. /p pbrOur MissionbrWe 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!brIdeal candidatebrWe 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.brWhat You'll Work OnbrCloud infrastructure: AWS or GCP foundations, networking, security, IAM, cost controlsbrSecure networking: VPNs, certificate and PKI management, TLS, and hardened connectivity between cloud, operators, and robots in the fieldbrCI/CD pipelines: fast, reliable, repeatable builds and deploys for both cloud services and on-robot softwarebrContainer orchestration and runtime: Kubernetes and lightweight distributions (K3s) for edge and on-prem, image build pipelines, secrets managementbrEdge and fleet management: OTA updates, configuration management, telemetry, secure connectivity to robots in the fieldbrObservability: logging, metrics, tracing, dashboards, and alerting across cloud and edge (Grafana, Prometheus, and similar)brDeveloper experience: local environments, testing infrastructure, internal tooling that removes friction for the rest of the teambrSecurity and compliance: baseline hardening, secrets, audit trails, and the foundations needed for enterprise and government customer trustbrWho We're Looking ForbrWe'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.brYour Backgroundbr4+ years in platform engineering, DevOps, SRE, or infrastructure rolesbrDeep experience with at least one major cloud (AWS, GCP, or Azure)brStrong with Kubernetes (including lightweight distributions like K3s) and infrastructure-as-code (Terraform, Pulumi)brSolid networking and security fundamentals: VPNs, TLS, certificate and PKI management, firewallsbrSolid CI/CD chops: GitHub Actions, GitLab CI, or similarbrComfortable writing code in Python, Go, or similar systems languagesbrTrack record of building developer-facing platforms that engineers actually liked usingbrNice to havebrExperience deploying software to edge devices or robot fleets (OTA, A/B updates, rollback)brExperience with on-prem or air-gapped environmentsbrBackground in security-sensitive environments: enterprise, defense, fintech, healthcarebrFamiliarity with observability stacks (Grafana, Prometheus, Datadog, OpenTelemetry)brExperience supporting ML workloads: training infrastructure, model serving, GPU orchestrationbrInterview processbr1. Intro call with Co-founder/Hiring Managerbr2. Half-day technical interview in the Zurich office, solving problems on the real codebase.br3. Final culture-fit call with CEO.brThe entire process is designed to be completed in less than one week.brWhat We OfferbrMission: Build the foundation models that decide how robots see, reason, and act in the real world. Research with deployment, not papers without impact.brAutonomy: Real independence on what to train, how to evaluate, and how to ship.brCompute: Access to the compute and field data you need to do serious work.brTeam: Work alongside PhD-level co-founders in AI, Robotics, and Physics, plus a strong founding engineering team.brLocation: In-person in Zürich, Switzerland, with remote considered for exceptional candidates. Visa and relocation support available.brCulture: Small, international founding team that's serious about building, but doesn't take itself too seriously. Curiosity and quirks welcome. /p
