דרושים » הנדסה » Network Systems Performance Engineer

We are looking for an experienced Automation QA Engineer to join us.
You will be responsible for E2E testing new features of our fast-evolving product, by building a complex network environment and simulating enterprise customers' topologies and requirements. In addition, you will work with our Automation tests and lab management frameworks and will have the chance to make your first steps in the SW Automation development world. In your role - you will be the only gatekeeper for various new features and enhancements before they are deployed in our production cloud.
Responsibilities:
Plan and execute manual/automated performance tests for core network infrastructure and edge devices.
Design, develop, and maintain robust test automation frameworks to enable continuous integration and validation.
Analyze and debug complex network failures, leveraging automation, logs, and advanced diagnostic tools.
Lead validation efforts for new projects and features, defining test coverage and automation strategy from early design stages.
Design and deploy complex physical and virtual network topologies to support automated end-to-end testing.

Your Career The SASE Platform team builds and operates highly available, secure, and globally distributed services that protect users, applications, and data for some of the worlds largest enterprises. Our mission is to deliver cloud-native security and networking capabilities that seamlessly converge networking and security at scale. As enterprises accelerate adoption of cloud, remote work, and AI-driven workloads, the need for resilient, observable, and secure SASE platforms has never been greater. As an SRE, you will play a critical role in ensuring our platform is reliable, scalable, performant, and secure from day one. Your Impact As a Site Reliability Engineer, you will be an integral part of the product and platform lifecycle, partnering closely with software engineers, security experts, and infrastructure teams. You will: Collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance Build and operate automation for provisioning, deploying, and managing infrastructure at global scale using Infrastructure as Code Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments Drive observability best practices, including metrics, logs, traces, SLIs/SLOs, and data-driven incident analysis Participate in on-call rotations, continuously reducing MTTR through automation, runbooks, and proactive reliability improvements Mentor and guide engineers on large-scale cloud and SASE deployments, fostering a strong SRE culture Participate in architecture and design reviews, bringing a reliability and operational excellence mindset Champion reliability, security, and operational maturity across the organization.

We are seeking an experienced LLM & Agentic Systems Engineer to join our AI squad at our company. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work. You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms. You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Python
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliabililty, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.) Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques Define and refine best practices for GenAI system development and deployment Contribute to internal accelerators, methodologies, and knowledge sharing.

We are looking for a Networking Infrastructure and DevOps Engineer to join our Infrastructure team. Who has a passion for automation, network performance optimization, and high availability infrastructure, who has a desire to design and implement scalable data center solutions with a proactive approach to continuous improvement. We use an interesting and mixed technology stack: Kubernetes, Proxmox clusters, Infrastructure as Code (Terraform/Ansible), enterprise network equipment (routers, switches, firewalls), SAN/NAS storage systems, and multi-cloud environments (VulTR, DigitalOcean, Linode, Upcloud). In this position you will use your expertise in managing large-scale data center infrastructure and network engineering, and will design, deploy, and maintain high-performance and highly available network and compute infrastructure.
Key Responsibilities
Design, build and manage our data center infrastructure (routers, switches, firewalls, servers, SAN/NAS) in order to ensure high availability, scalability, and optimal performance.
Create and maintain Infrastructure as Code (IaC) that deploys, scales, configures, and updates data center equipment, especially network devices.
Monitor network and system performance, detect bottlenecks or connectivity issues, and implement solutions to improve scalability, reliability, and security.
Drive automation and innovation by experimenting with new tools, DevOps best practices, and optimization techniques to reduce operational overhead and accelerate deployments.
Collaborate with cross-functional teams (developers, QA, security, and customer-facing teams) to ensure network security, data integrity, and adherence to industry best practices, while leading knowledge-sharing sessions on infrastructure topics.

We are looking for a System Engineer who "speaks" both Network and Code. In this role, you will be the architect of the systems connectivity, designing how our devices communicate over wired LAN infrastructures and ensuring the software architecture supports robust, high-throughput data flow. You will bridge the gap between IT network configuration and R&D software development.

Responsibilities:
System Network Design: Define the networking architecture for complex systems, focusing on Wired LAN configurations, switch management, and topology planning.
E2E device to platform SW features: Collaborate with SW teams to define system-level software features - for example security, configurations, etc...
Network Integration: Lead the integration of system components into customer IT environments (Subnets, VLANs, Firewalls).
Hands-on Coding: Write production-grade code or advanced scripts for system automation, network simulation, and performance testing.
Bottleneck Analysis: Analyze data flows to identify network congestion or software inefficiencies and propose architectural changes.
Security: Define and implement network security protocols (PKI, penetration resilience) within the system design.

We seek a highly motivated Network Performance Exploration Engineer to join our team of experts and help shape the foundational infrastructure for the AI revolution. Our next-generation networking systems are at the forefront of connecting and powering the world's most advanced AI clusters. As a key member of our architecture team, you will be responsible for exploring and identifying critical network optimization opportunities across our entire hardware and software stack, analyzing how system-level changes impact application-level performance.

What Youll Be Doing:

Explore and validate end-to-end application performance, defining comprehensive test plans and critical metrics to identify optimization opportunities in both hardware and software.

Establish and maintain a comprehensive database of benchmark results, tracking performance across releases to drive data-informed decisions.

Conduct deep-dive analysis into communication libraries (like NCCL), system software, and hardware configurations to investigate performance characteristics, validate architectural theories, and identify bottlenecks.

Provide critical performance data to correlate and enhance simulation tools, ensuring our models accurately predict real-world hardware behavior.

Analyze application-level traffic patterns (e.g., LLMs) on our advanced networking fabrics to identify hardware and software optimization opportunities and tune system parameters.

Lead Proof-of-Concept (POC) projects to prototype and evaluate potential hardware and software optimizations and their impact on application performance.

our company Harmony SASE (Secure Access Service Edge), originally Perimeter 81, was acquired by our company and has since become one of the companys most strategic growth platforms.
It represents our companys cloud-native SASE solution, converging networking and security into a unified global cloud service.
SASE enables secure, fast, and resilient connectivity for users, branches, and devices from anywhere.
As enterprises accelerate cloud adoption and hybrid work, Harmony SASE is redefining how organizations securely connect to applications and resources, combining high-performance networking with advanced security enforcement, delivered at global scale.
We are looking for an experienced, hands-on Team Leader with strong Go development skills and deep networking expertise to lead a core development team building the next generation of our cloud SASE network.
The team is responsible for designing and developing the new and enhanced cloud SASE networking layer - a highly scalable, auto-scaling, resilient, and high-performance distributed system that provides secure connectivity worldwide.
This team sits at the technological core of the platform and plays a critical role in performance, reliability, and customer experience.
This role requires deep technical ownership, architectural leadership, and strong execution capabilities.
You will mentor engineers, drive innovation, and accelerate AI adoption across the SDLC and product capabilities.
Key Responsibilities
Lead and mentor a team of developers, fostering ownership, accountability, and growth.
Drive end-to-end development of complex networking features (design to production).
Contribute to architectural decisions to ensure scalability, performance, and reliability.
Promote engineering excellence: code quality, observability, and production readiness.
Drive adoption of AI capabilities across SDLC, processes, and product.
Collaborate closely with Product, Support, and cross-functional R&D teams.

we are transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales - providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
we are a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the worlds leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure customer success. If we sound like your kind of people, join us!
About the role
At our company, were building a next-generation platform for validating large-scale distributed systems. Our goal is to continuously ensure the correctness, performance, and resilience of the company Data Platform across every layer of the stack.
As a Senior Software Engineer, youll work hands-on on the systems and frameworks that test, stress, and validate complex distributed infrastructure under real-world conditions. Youll help design and build automated environments that simulate scale, concurrency, and failure scenarios, and youll contribute to evolving how we ensure reliability and correctness in modern infrastructure systems.
This role is ideal for engineers with a strong distributed systems background who enjoy deep technical problem-solving, working close to the system, and building tools that improve quality, stability, and confidence at scale.
What Youll Do
Design and implement core components of a distributed testing infrastructure and quality platform.
Build automated frameworks to validate functionality, performance, and resilience at scale.
Collaborate closely with infrastructure, storage, and platform teams to ensure quality is built into the development lifecycle.
Contribute to improving tooling, test coverage, and engineering best practices across the organization.

We are seeking an experienced and highly skilled QA Lead to lead quality assurance processes within our multidisciplinary environment.
You will oversee complex integrated hardware-software systems, manage automation infrastructure, and drive strategic quality improvements across the organization.
Responsibilities - what youll be doing:
Define, implement, and oversee QA processes across hardware and software teams.
Write and execute integration, system, and acceptance tests on lab/bench setups (manual and automated as possible)
Maintain and improve the local testbench environment; ensure repeatable validation for every new release
Report on integration status, raise issues, and collaborate with R&D and production
Serve as QA lead for system-level validation.
Develop comprehensive test strategies documentation (STP, STD) based on product and system requirements.
Lead performance and reliability testing to validate system robustness in Israel and the US.
Manage the full bug lifecycle-from triage and reporting through validation and closure.
Support field testing and validation activities, coordinating with Testing and Product Operations teams.

We have been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people. We seek an Senior SW Performance Engineer to join our performance verification team. As a Performance Engineer, you will have to work closely with our development and architecture teams responsible for Ethernet AI solution and gain a deep understanding of our products and technologies.

What youll be doing:

Participate in an international team of software engineers working on products for testing our products.

Build automated verification environment for high-end hardware and software which is at the forefront of innovation.

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Drive improvements for performance, quality, stability around SW acceleration solutions.

Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.