This role combines technical leadership, operational management, hands-on work and strategic planning across worldwide labs. You will report to the Lab Manager.
Location
On-site – working 5 days a week from our office in Caesarea.
What you will be doing:
Lead R&D lab operations supporting large-scale broadband and networking environments.
Lead and mentor the Lab Support team, including goal setting, KPIs, SLA management, prioritization, and professional development.
Providing hands-on support for lab infrastructure installations and deployments when required.
Architect, design, and maintain advanced networking infrastructures, including switches, routers, servers, and virtualization platforms.
Lead deployment and support of new lab installations.
Establish and maintain documentation standards across Confluence, Jira, Visio, and related systems.
Lead automation and operational efficiency initiatives to improve scalability,
Provide regular executive-level reporting on lab operations, project status, risks, and roadmap progress.
Manage timelines, ETAs, and stakeholder expectations across multiple concurrent activities.
What you should have:
5+ years of experience working in lab environment including strong hands-on expertise with networking technologies, including routers, switches, VLANs, routing protocols.
3+ years of experience managing technical labs, data centers, or large-scale infrastructure environments.
Proven experience leading technical teams in complex networking and infrastructure environments.
Strong understanding of networking concepts at CCNA/CCNP level or equivalent.
B.Sc. / M.Sc. degree in Computer Science, Electrical Engineering, Networking, or a related technical field – Advantage.
High experience on RF Systems such as CMTS/vCMTS on Docsis protocols – Advantage.
High experience on PON infrastructure, XGS, GPON, EPON technologies – Advantage.
Experience with Linux systems, VMware virtualization platforms, and monitoring tools such as Zabbix – Advantage.
Ability to operate effectively in fast-paced R&D and production support environments.
Self-driven, highly organized, and capable of learning new technologies independently.
