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Open nowFirst seen 4 days ago

Infrastructure Engineer

EuroBusiness Products Resourcing8 open roles

Where
Zürich, Switzerland
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Your applicationOpen nowInfrastructure EngineerEuroBusiness Products Resourcing · Zürich, Switzerland

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Share of postings closed within
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  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

Infrastructure Engineer

TechTree is recruiting on behalf of a client developing AI-powered robotics for physical security. This opportunity is with the client company, with TechTree supporting the recruitment process as an agency.

Company: AI-Powered Physical Security Robotics Company Location: Zürich, Switzerland Employment: Full-time Working arrangement: On-site; remote considered for exceptional candidates Level: Mid-Senior Level

About the Client

The client believes 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. Its 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, the company aims to create a world that is safer, more secure, and more resilient.

The company has a strong founding team based in Zurich, backed by investors and advisors, and is engineering the future of physical security.

The Role

As an Infrastructure Engineer, you'll build the cloud platform connecting the client's 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 the client deploys 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.

Key Responsibilities

  • 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.

Candidate Profile

The client is 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.

What the Client Offers

  • 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.
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