LabOps Engineer

**Who We Are**

Zadara is a leading provider of AI edge clouds, delivering a groundbreaking distributed cloud platform purpose-built for sovereign AI applications. Zadara platform powers advanced AI capabilities with the simplicity, agility, and flexibility of cloud computing while ensuring seamless multi-tenancy through fully automated, end-to-end provisioning of compute, storage, and networking resources. Zadara’s vision is to build and operate the largest global Edge Cloud Network to enable innovative technologies & services that improve the way the world communicates, works, heals, travels and plays. We have a global and diverse workforce that is growing as we expand our customer base. Together as a team we are making an impact on the Edge Cloud market.

**Our Zadarian Culture**

All Zadarians are finding their edge by living and breathing our core values; We are One Team, We are Respectful, We are Accountable, We are Achievers, We are Visionaries.

We believe that good things happen to people and business in a culture of choice. Where diverse and individual needs, wants and wishes are respected and rewarded — where the possibilities are limitless. Here you can, breakout and breakthrough to do your best work.

**What Diversity & Inclusion Mean to Us**

We are 'One Team' is one of Zadara’s core values and it’s more than just a phrase. It reflects our commitment to creating a Culture where every individual feels seen, heard, and valued. At Zadara, we celebrate the richness that comes from a wide spectrum of cultures, backgrounds, generations from Gen Z to Baby Boomers and the unique talents and skills each person brings. Our global team represents a vibrant mix of perspectives that fuels innovation, drives collaboration, and shapes a forward-thinking, people-centered workplace. At Zadara we embrace our differences and turn those differences into our greatest strengths. That’s how we grow stronger together.

As a QA Lab Operations Engineer, you will be the backbone of our testing infrastructure, operating a diverse ecosystem ranging from large-scale clouds to cutting-edge AI Inference clusters.

You will own the entire physical and virtual lifecycle of our labs, ensuring that our engineering teams have a high-performance, reliable, and scalable environment to validate our products.

This role is "hands-on" and requires a mix of deep hardware knowledge and virtualization expertise.

You will maintain and optimize lab environments in both our **Tel Aviv, Haifa and Yokneam** locations, and therefore you are required weekly travel between sites.

### Your day to day

• Own the "Rack-to-Cloud" process from unboxing, racking and cabling to decommission of lab assets across our three Israeli sites.
• Perform "bare-metal" setups and environment provisioning using PXE and MaaS for a variety of OS environments
• Diagnose and resolve complex hardware and connectivity issues (Servers, Switches, Firewalls).
• Manage and troubleshoot the networking topology, including the modernization of existing infrastructures..
• Work as part of a motivated team to stay up-to-date with cloud computing trends and infrastructure best practices
• Stay up-to-date with the latest industry trends and technologies related to cloud computing.

### What you bring

• 3–5 years in Data-Center/Lab operations with a proven mix of hardware, networking, and System Administration.
• In-depth experience with enterprise-grade server/networking hardware, ability to configure and tune BIOS, IPMI, HBA, and NIC settings.
• Proven knowledge of L2/L3 concepts and configurations, including routing, VLANs, Link-Aggregation, switch-clustering, and bridging.
• Strong background in VMware vSphere/vCenter management and high level proficiency in Linux and Windows Server environments.
• Ability to commute between Tel-Aviv, Haifa, and Yokneam regularly to manage physical assets.

### Nice to haves

• Experience with FortiGate firewalls.
• Experience with multi-vendor high-bandwidth switching.
• Familiarity with MaaS (Metal as a Service) or similar bare-metal orchestration tools.
• Knowledge of AI Infrastructure (GPU clusters, InfiniBand, or RoCE).
• Experience with Veeam backup solutions and S3-compatible Object Storage