לוח משרות דרושים NOC, לחיפוש זה נמצאו 24 משרות

Required NOC Team Leader
Description:
The NOC Team Lead is responsible for ensuring the high availability, reliability, and performance of a company's production systems, infrastructure, and applications. This hybrid role bridges traditional reactive monitoring (Network Operations Center - NOC) with proactive, automated, and software-centric engineering practices (Site Reliability Engineering - SRE).
Key Responsibilities:
Operational Leadership: Directs 24/7 global NOC teams, managing incident response, service uptime, and operational excellence.
Proactive Monitoring & Observability: Implements monitoring, alerting, and observability tools (e.g., Prometheus, Grafana, Datadog) to track system health via golden signals (latency, traffic, errors, saturation).
Automation and Toil Reduction: Leads efforts to automate repetitive operational tasks and manual troubleshooting to improve system reliability and reduce human error.
Incident Management & Root Cause Analysis (RCA): Oversees the management of critical incidents, ensures timely communication, and performs post-mortem analysis to prevent recurrence.
Team Management & Development: Coaches, mentors, and develops NOC engineers and SREs, fostering a culture of high performance and continuous improvement.
Stakeholder Collaboration: Partners with engineering, development, and IT teams to align system performance with business goals and SLA requirements.
Key Differences in Focus:
NOC Focus: Primarily monitoring, detecting, and responding to incidents, ensuring connectivity and managing alerts.
SRE Focus: Focuses on engineering improvements, reducing technical debt, automation, and system resilience.
The Transformation: Modern managers are transforming traditional, manual NOCs into automated, SRE-driven environments.

We are looking for a NOC Engineer to join our growing TechOPS team.
The position consists of 4 shifts a week on nights and weekends in our R&D Center in Petach Tikva.
This position provides a great opportunity to enter the high-tech world and relevant for for students and graduates of technical degree or equivalent experience.
Responsibilities include debugging complex technical issues, investigating logs, writing SQL queries and monitoring our services.

We are looking for a Tech Lead to join our Engineering group and take ownership of the technical domain.
This is a full-time, office-based position focused on leading the technical direction of the NOC team, driving operational improvements, and ensuring high standards across team activity. The team operates in a 24/7 environment, and the role includes 5 shifts per week, including weekends and holidays. Please note that this position does not include night shifts.
In this role, you will act as the main technical focal point of the team, combining hands-on troubleshooting with leadership and ownership. You will work closely with multiple teams across the organization to improve workflows and resolve complex issues.
The position includes ownership of technical processes, monitoring, knowledge development, and cross-team collaboration, while supporting the professional growth of the team.
Responsibilities
Lead complex technical investigations and critical incident handling
Serve as the primary technical escalation point for the NOC team
Drive improvements in monitoring, alerting, and identify recurring issues
Analyze operational data and generate actionable insights and reports
Define and improve technical processes and follow end-to-end execution
Support onboarding, technical mentoring, and ongoing knowledge training
Collaborate closely with R&D, Tech Support and additional stakeholders.

we are looking for a Wafer-Scale System: Computation (LLM) and Communication (NoC) Co-Design.
Responsibilities:
Conduct cutting-edge research on the co-design of communication and computation for wafer-scale systems. On the communication side, the work focuses on architecting Networks-on-Chip, providing scalable, high-bandwidth, and ultra-low-latency interconnects that efficiently span multiple dies and support fine-grained data movement. On the computation side, the research emphasizes optimizing and mapping training and inference workloads to fully exploit wafer-scale resources, improving performance, scalability, and energy efficiency through intelligent task placement and scheduling.
Investigate various aspects of system design, including:
Network-on-Chip design, further including Topology exploration, routing algorithms, and protocol/flow-control design to support high-throughput collective communication, low-latency synchronization, and efficient model/data parallelism
Expressing and Mapping LLM Parallelism to Wafer-Scale System that simplify LLM parallelism (e.g., tensor, pipeline, and data parallelism) and efficiently map training and inference workloads onto wafer-scale system