Infrastructure Engineer

PulseRise Technologies; Zürich; Vor Ort; CHF 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Visa and relocation support

Remote consideration for exceptional候否

Zusammenfassung

PulseRise Technologies seeks a mid-senior Infrastructure Engineer to design and build cloud infrastructure connecting our robot fleet to operator intelligence. You will own cloud setup, CI/CD pipelines, Kubernetes orchestration, and secure networking enabling reliable, scalable deployments from laptop to robot in Zurich.

The ideal candidate has 4+ years building cloud infrastructures in startups, deep experience with AWS/GCP, Terraform/Pulumi, and strong networking/security foundations.

Qualifikationen

• 4+ years in platform engineering, DevOps, SRE, or infrastructure roles
• Strong experience with AWS or GCP at production scale
• Production‑level Kubernetes including edge distributions (K3s)
• Infrastructure‑as‑Code experience (Terraform, Pulumi)
• Solid networking and security fundamentals (VPN, TLS, PKI)
• Proficient in Python or Go
• Hands‑on builder with end‑to‑end ownership

Aufgaben

• Build cloud infrastructure foundations (AWS/GCP), networking, security, IAM, cost controls
• Implement and operate secure networking between cloud, operators, and robots
• Develop CI/CD pipelines and reliable build/deploy processes for cloud and edge software
• Manage container orchestration and edge runtimes (Kubernetes, K3s)
• Oversee edge fleet management, OTA updates, telemetry and secure connectivity
• Support observability with logging, metrics, tracing, dashboards, alerts
• Improve developer experience with local environments and tooling
• Ensure security/compliance foundations for enterprise customers

Kenntnisse

AWS/GCP

Kubernetes

Terraform

Pulumi

CI/CD

Python/Go

Networking

Security fundamentals

Tools

K3s

VPN/TLS/PKI

GitHub Actions

GitLab CI

Jobbeschreibung

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.

Details

• Location: Zürich, Switzerland
• On-site Employment: Full-time
• Senior Level: 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.

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.

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.