Software Engineer, Infrastructure

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Our Mission At Laelaps AI, 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! The Role As a 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. 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 enterpr