Jobs in Tel Aviv-Yafo

Description The Reality Most QA roles are about writing scripts to catch bugs after the code is written. This isn't one of those roles. At VAST Data, we aren't just scaling software; we are building the fundamental engine that powers the global AI revolution. When you are managing exabytes of data at breaking-point speeds, traditional testing methodologies crumble. We don't need someone to follow a test plan. We need an architect to build a self-evolving, intelligent testing ecosystem. The Mission We want you to build the AI tools that validate our AI data platform. You will design autonomous, agentic systems that actively look for vulnerabilities, orchestrate their own testing logic, navigate distributed dependencies, and isolate regressions entirely on their own before they hit production. If you are a systems-level builder who gets excited by complex distributed systems, autonomous logic, and breaking things at an elite engineering scale, this is your playground. Requirements What You’ll Actually Do Everyday • Build AI Agents for Quality: Design and deploy production-grade Python frameworks and LLM-driven agentic tools that dynamically generate, execute, and self-correct test environments. • Orchestrate Chaos at Scale: Move past static assertions. You’ll build runtime verification tools that stress-test data integrity, multi-node failures, and deep storage engine behaviors. • Ditch the Manual Mindset: Drive our entire automation architecture toward a state where human intervention is the exception, not the rule. • Partner with Core R&D: Work side-by-side with our systems architects to inject intelligent code evaluation pipelines right into our fast-moving CI/CD engines. What You Bring to the Table • A Builder's Mindset: You consider yourself a software engineer first, who happens to apply their skills to infrastructure reliability and complex validation. • Python Mastery: You don't just use automation tools; you build them. You write clean, scalable, object-oriented code that other engineers love to read. • Distributed Systems Context: You understand the unique pain points of Linux kernels, multi-tenant networking layers, containerization (Docker/K8s), and data pipeline architectures. • AI Curiosity: You have hands-on experience or deep curiosity regarding LLMs, prompt pipelines, and modern AI developer environments.

Description Shape the Future of AI Infrastructure with VAST Data This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution. Recognized by Forbes as "the future of the market," VAST Data is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before. Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless VASTronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data. We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. In this role, you will be responsible for qualifying hardware components such as servers, JBOFs, SSDs, network cards, switches, and optical transceivers. You will write requirement documents for new features, work with vendors on implementation and debugging, and transfer knowledge to internal teams, including software developers, QA, support, and manufacturing. Additionally, you will become the subject matter expert for specific hardware platforms and technologies. Join us and contribute to shaping the future of data management while being part of a fast-growing, innovative company. Requirements Required Skills: Demonstrate a detailed system-level understanding of systems Previous experience in hardware design, firmware design, linux device drivers and/or QA/verification of complex systems. B.a. / B.Sc EE or CS - an advantage Prior experience in at least one of the following technical areas: PCIe: Link training, configuration space, configuration procedures by the OS, hot-plug, transport layer, PCIe switch, SR-IOV, experience with PCIe Gen.4+ an advantage. Server design: x86 CPUs, BMC, IPMI, Redfish, SMBus/I2C, BIOS, UEFI, design for high availability, thermal design. Storage systems: NVMe SSDs, NVMeoF, RAID, OCP SSDs Networking: 100/200/400/800G Ethernet, Infiniband, RDMA, NVMeoF, QoS, Flow Control, VxLANs, Optical Tranceivers, cables and DPUs Linux: Device drivers, memory management, hardware debug and test tools.

Description Shape the Future of AI Infrastructure with VAST Data This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution. Recognized by Forbes as "the future of the market," VAST Data is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before. Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless VASTronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data. We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals. Requirements Requirements: Strong experience in C/C++ software engineer design, coding, integration, and debugging Understanding of Linux operating system Solid networking knowledge (OSI network layers, TCP/IP) — advantage Experience with large-scale/distributed systems Experience with performance-sensitive systems Knowledge block-level Storage / file systems — advantage Python scripting — advantage Experience in Linux Kernel development - advantage BSc/MSc degree in Computer Science, Engineering or equivalent

Description VAST Data is the data platform company for the AI era. We build enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets, and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. About the Role : The fastest system in the world is only as fast as the network under it. As a Network Engineer in VAST's Field Engineering organization, you define how VAST connects to the world: the reference architectures, validated switch configurations, and RDMA fabric designs every customer deployment is built on. This is a design and research role, not a support queue. You will build and run the lab where new switches, NICs, and network operating systems are qualified before they ever reach a customer. You will investigate why a fabric behaves differently at 800G than it did at 100G, and turn the answer into a standard the whole field organization uses. When a strategic customer hits something nobody has seen before, you reproduce it, explain it, and make sure it never happens to the next customer. You will work across R&D, QA, Support, Product, and customer engineering teams, and directly with networking vendors including NVIDIA, Arista, Cisco, and Juniper. The work sits where AI infrastructure is hardest: GPU fabrics, lossless Ethernet, and storage protocols moving at line rate. Requirements What a Day in the Life Looks Like : Design the Architecture: Define reference network architectures for VAST deployments: L2 and L3 fabrics, BGP and EVPN/VXLAN designs, RoCEv2 and QoS policy. Decide what "good" looks like, then write it down so the field can execute it consistently. Own the Lab: Build and run validation environments for switch qualification, interoperability testing, performance characterization, and reproduction of customer issues. Your lab is where we find problems before customers do. Qualify the Ecosystem: Evaluate new switches, network operating systems, and NICs from NVIDIA, Arista, Cisco, Juniper, and others. Work directly with vendor engineering teams to close gaps and certify what works. Solve What Nobody Else Can: Chase complex problems across the full path between GPUs, fabric, and storage. Congestion, packet loss, MTU, latency, PFC and ECN behavior under real load. Root cause it, then fix it at the source. Turn Findings into Product: Feed what you learn back into VAST, as documented best practice, as automation, and as direct input to R&D on what the platform should do differently. Professional Experience & Skills • Strong data center networking fundamentals - CCNP level or equivalent hands-on experience • Solid command of BGP and L3 routing: eBGP/iBGP, ECMP, route policy, multipath, BGP-based fabrics • Hands-on experience designing and troubleshooting both L2 and L3 data center networks • Real troubleshooting ability across layers - routing, ARP/ND, MTU, congestion, packet loss, latency • Working knowledge of Linux networking: interfaces, VLANs, routing tables, namespaces, MTU • Comfort with tcpdump, Wireshark, iperf, and the standard diagnostic toolkit • The instinct to build a lab and reproduce a problem rather than theorize about it • Clear technical writing - your designs and findings are only useful if others can follow them

Description Shape the Future of AI Infrastructure with VAST Data This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution. Recognized by Forbes as "the future of the market," VAST Data is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before. Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless VASTronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data. We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals. What You'll Do: • Design and develop core components of a next-generation distributed event-streaming and messaging platform. • Implement and maintain a high-scale, high-performance Kafka-protocol-compatible broker. • Build scalable and resilient distributed services handling petabytes of data across large clusters. • Design solutions around correctness semantics (ordering guarantees, transactions, exactly-once / idempotence, repartitioning), load balancing, replication, fault tolerance, and scalability • Investigate and resolve complex production issues across the full produce-to-consume path - from the Kafka client that produced it, through the broker and all the layers in between, all the way to the consumer. • Collaborate closely with architects, researchers, and engineering teams to deliver high-performance data infrastructure powering AI, analytics, and enterprise workloads. Requirements Requirements: • Strong hands-on experience in C/C++ software development, including system design, implementation, debugging, performance optimization, and integration of large-scale production systems. • B.Sc. or M.Sc. in Computer Science, Software Engineering, Electrical Engineering, or equivalent practical experience. • Deep understanding of Linux internals, including processes, threads, memory management, synchronization primitives, I/O subsystems, and performance troubleshooting. • Experience developing distributed systems with a focus on scalability, reliability, fault tolerance, concurrency, and high availability. • Solid understanding of networking fundamentals, including TCP/IP, routing, transport protocols, distributed communication patterns, and OSI networking layers. • Experience designing and implementing high-performance backend services operating in multi-node environments. • Strong debugging and root-cause analysis skills across complex production environments. • Experience with message brokers or event-streaming systems - advantage. • Apache Kafka internals or Kafka wire protocol experience - advantage.

Description Shape the Future of AI Infrastructure with VAST Data This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution. Recognized by Forbes as "the future of the market," VAST Data is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before. Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless VASTronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data. We are looking for a hands-on, forward-thinking Security Engineer to join our growing security team. In this role, you will lead offensive security initiatives, build internal automation using modern workflows and AI agents, and manage cloud and infrastructure risks. You will conduct penetration tests across our architecture, analyze deep protocol flaws, write custom tooling, and take security findings from discovery all the way to resolution. Requirements Core Responsibilities: • Penetration Testing & AI Automation: Conduct comprehensive penetration tests across all components of our architecture—ranging from Web APIs down to S3 protocols—and design systems to automate routine pentesting using AI tools. • Protocol & Flaw Analysis: Leverage a deep understanding of network and application protocols to identify architectural and implementation flaws, using AI prompts and modern tooling to uncover edge-case security risks. • Tooling & Process Automation: Write custom internal security tools and leverage AI agents to automate repetitive tasks, incident responses, and continuous security workflows. Secondary Responsibilities: • Cloud Security Monitoring: Monitor and manage cloud security posture using CNAPP (Cloud-Native Application Protection Platform) tools, maintaining oversight of our cloud infrastructure and containerized environments. • Vulnerability Management & Remediation: Run and maintain regular SAST and DAST scans across operating systems, Docker containers, and source code. Own security findings from discovery through code remediation and validation. • Jira & Delivery Tracking: Manage, prioritize, and promote security Jira tickets through the full lifecycle—from initial triage and assignment through to final delivery and verification. • Software Supply Chain Security: Generate, analyze, and manage Software Bill of Materials (SBOMs) to track third-party dependencies and address supply-chain vulnerabilities. Qualifications & Skills Required Qualifications: • Offensive Security & Pentesting: Solid background in penetration testing covering APIs, microservices, cloud storage protocols (S3), and distributed network architectures. • Protocol & Code Analysis: Strong knowledge of underlying network and storage protocols with a demonstrated ability to uncover implementation flaws. Familiarity with C/C++ source code is a distinct advantage for low-level analysis and AI prompt engineering. • AI Integration: Experience or strong interest in leveraging AI agents and prompt engineering to automate security scanning, triage, and security research. Preferred Qualifications (Advantage): • Development & Automation: Proficiency in scripting/programming (Python, Go, or Bash) to build internal security tools, integrate APIs, and automate workflows. • Cloud Security Expertise: Hands-on experience with CNAPP, CSPM, or CWPP solutions in public cloud environments (AWS, GCP, or Azure). • Application & Infrastructure Security: Demonstrated experience with SAST/DAST tools, container security (Docker/Kubernetes), OS hardening, and secure code review. • Process & Ticket Lifecycle Management: Strong organizational skills to manage security backlogs, triage tickets in Jira, and collaborate cross-functionally with engineering teams to drive remediation to delivery.

Description Shape the Future of AI Infrastructure with VAST Data This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution. Recognized by Forbes as "the future of the market," VAST Data is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before. Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless VASTronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data. We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals. Requirements SW Development Team Leader We are looking for a software team leader to lead one of our core teams. He/she will be responsible for the delivery of innovative key features, guiding team members, improving existing products and features. He/she should be a great team player with the ability to develop strong working relationships and increase engagement / collaboration with peers to drive technology roadmaps. Key Responsibilities · Responsible to contribute to products’ vision and subsequent execution · Oversee the overall development life-cycle, from design/planning, to implementation and support to maintain high standard of software quality · Provide technical leadership to team member while taking active part in the team tasks · Assigns tasks, reviews work and may contribute to employee performance appraisals · Work with internal teams, peers and customers to understand product requirements thus translating to successful software development Desired Skills · Relevant academic degree (CS/ CE / EE) · At least 3 years experience in C/C++ – Must · At least 3 years as team leader – Must · Experience in design and development of enterprise-level and multi-threaded system · Knowledge and experience in Linux - Must · Experience working with Linux environments - Advantage · Experience in design, coding, integration, and debugging capabilities · Self-starter, enthusiastic proactive mindset · Ability to write code and conduct thorough code reviews

Description VAST Data is looking for a VAST On Cloud - Customer Success Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is at the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market." — Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality, and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history. As a VAST On Cloud - Customer Success Engineer, you will be regarded as a VAST Data technical expert specialized in deploying, supporting, and optimizing our enterprise platform within cloud environments. You will be a vital part of the VAST "Flight Crew" for our customers, working closely with a dedicated team of Support Engineers and Success Managers to manage all post-sales activity and ensure maximum adoption. Your focus will extend beyond traditional support into active customer success—helping clients design, automate, and navigate hybrid and multi-cloud architectures. You will use your deep cloud-native expertise, hands-on troubleshooting skills, and client-facing mastery to help customers successfully run the VAST AI OS across the world's leading public and private cloud platforms. Key Responsibilities Deploy & Maintain: Deploy, configure, and maintain cloud services and infrastructure components in customer public and private cloud environments. Build Trusted Relationships: Develop deep, technical, and trusted relationships with customers based on technical excellence, a customer-first mindset, and your command of the VAST On Cloud product portfolio. Automation & IaC: Contribute to cloud automation and orchestration efforts using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) and scripting (e.g., Python, Shell). Cloud Operations & Observability: Understand and regularly interact with each cloud provider's native monitoring, logging, dashboards, and observability tools, alongside infrastructure monitoring tools (e.g., Grafana, Prometheus). Deep Troubleshooting: Troubleshoot complex CSP instances and networks. Systematically parse logs to identify and resolve issues within the Cloud Provider that extend beyond the VAST AI OS itself. Root Cause Analysis: Perform thorough root cause analysis (RCA) and post-incident reviews for infrastructure-level incidents to ensure continuous improvement and platform stability. OnPrem/Hybrid Integration: Work with customers to integrate VAST On Cloud with their existing On-Premises systems, facilitating robust Hybrid Cloud architectures. Cross-Functional Collaboration: Partner with VAST engineering, product management, pre-sales, and professional services to elevate product features, escalate unresolved bugs, and advocate for customer-specific priorities. Requirements Experience: 5+ years of experience in technical customer-facing roles (Customer Success, Technical Support, Cloud Engineering, or Post-Sales) working with complex cloud infrastructure, networking, or storage solutions. Multi-Cloud Expertise: Extensive expertise with Cloud Service Providers (CSPs) like AWS, Azure, and GCP, covering instance management, operations, and the ability to quickly ramp up on any missing provider. Cloud Networking & Security: Advanced understanding of cloud networking and security—specifically designing, deploying, and integrating cloud architectures with On-Premises systems (Hybrid Cloud). Diagnostics Skills: Practical and demonstrable cloud networking diagnostic skills (VPC/VNet, subnets, route tables, security groups) and utilization of Linux OS utilities for client-to-cluster troubleshooting. Scripting & Cloud CLIs: Highly skilled at creating and debugging Python scripts using cloud APIs/SDKs. Proficiency with cloud CLIs (AWS CLI/aws, Google Cloud CLI/gcloud, Azure CLI/az) and scripting (Python, Shell/Bash) for diagnostics and automation. Linux Systems Administration: Advanced Linux systems administration experience (primarily Rocky Linux or similar Enterprise Linux distributions). Containerization & Orchestration: Strong experience working with Docker and Kubernetes environments. Infrastructure as Code: Practical, hands-on experience using Terraform and Ansible to deploy and manage cloud-native infrastructure. Observability Stacks: Solid experience with observability stacks and infrastructure tools (such as Grafana and Prometheus). Education: B.Sc. or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent practical experience). Travel & Availability: * Ability to travel around 20% of the time to support customer deployments and professional services. • Participation in a rotational weekend shift once every 8-12 weeks and occasional holiday coverage. Nice to Have: • AWS: AWS Certified Solutions Architect (Associate/Professional) / AWS Certified SysOps Administrator / AWS Certified DevOps Engineer • Azure: Microsoft Certified: Azure Network Engineer Associate / Azure Solutions Architect Expert • GCP: Google Cloud Certified Professional Cloud Architect / Professional Cloud DevOps Engineer

Description This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems. A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions. The Role We are seeking an experienced Solutions Engineer who combines strong technical depth, hands-on problem-solving capabilities, and excellent interpersonal skills. The Solutions Engineer will work closely with customers, partners, Sales, Engineering, Product Management, Support, and other internal teams to design, validate, and deliver scalable, flexible, and innovative solutions based on VAST technologies. This role combines deep technical expertise with customer engagement. The Solutions Engineer will help customers understand how VAST can address their technical and business challenges, design architectures that integrate into complex enterprise environments, develop and deliver technical demonstrations and Proofs of Concept (POCs), and troubleshoot sophisticated infrastructure and application challenges. The ideal candidate is hands-on, curious, customer-focused, and comfortable working across storage, networking, virtualization, operating systems, cloud platforms, Kubernetes, and enterprise applications Responsibilities • Understand customer technical requirements, business challenges, workloads, and existing infrastructure. • Design scalable, high-performance solutions based on customer needs and VAST technologies. • Build and present technical demos, Proofs of Concept (POCs), reference architectures, and prototypes. • Translate requirements into detailed technical designs, implementation plans, and specifications. • Deploy, configure, test, and validate VAST storage in customer, cloud, and lab environments. • Deploy and troubleshoot VAST solutions across Kubernetes, OpenShift, public/hybrid cloud, and virtualized environments. • Execute performance benchmarking, analyze workload bottlenecks, and optimize storage performance. • Analyze existing customer architectures to recommend improvements, optimizations, and integration strategies. • Troubleshoot complex infrastructure, application, networking, storage, cloud, and Kubernetes issues. • Act as a technical escalation point and collaborate with Engineering and Support to resolve issues. • Develop tools, automation, and best practices to prevent recurring technical challenges. • Create high-quality documentation, implementation guides, reference architectures, and troubleshooting procedures. • Partner with Sales and Business Development during technical evaluations and strategic opportunities. • Share customer requirements, field feedback, and product enhancement requests with Product Management and Engineering. • Research emerging technologies and evaluate integration with VAST solutions. • Develop reusable assets, automation scripts, demos, and reference environments for internal and external use. • Continuously refine methodologies for customer evaluations, performance testing, and technical enablement. Requirements Requirements • Proven experience in Solutions Engineering, Systems Engineering, Technical Consulting, or a customer-facing technical role. • Strong understanding of enterprise infrastructure and modern data center architectures. • Hands-on experience with enterprise storage technologies. • Strong knowledge of file and object protocols, including NFS, SMB, and S3. • Hands-on experience with public clouds (AWS, Azure, GCP), including networking, compute, storage, and hybrid architectures. • Hands-on experience with Kubernetes, Red Hat OpenShift, CSI, container networking, and app deployment. • Solid understanding of storage performance (throughput, IOPS, latency, concurrency, bottleneck analysis). • Practical experience benchmarking, analyzing, and troubleshooting storage performance using standard tools. • Proficiency with Linux and Windows operating systems. • Experience with virtualization platforms like VMware vSphere and Microsoft Hyper-V. • Working knowledge of Active Directory, authentication, and enterprise identity management. • Experience with backup, disaster recovery, and data protection architectures. • Strong troubleshooting skills across compute, storage, networking, virtualization, Kubernetes, and cloud layers. • Ability to quickly learn new technologies and adapt to complex customer environments. • Ability to manage multiple projects and customer engagements simultaneously. • Ability to clearly explain complex technical concepts to technical and non-technical audiences. • Strong technical documentation and communication skills. • Excellent interpersonal and cross-functional collaboration skills. • Sound technical judgment with analytical decision-making ability. Advantageous Experience Experience in one or more of the following areas would be considered an advantage: • AI/ML infrastructure and GPU environments • High-performance computing (HPC) • Hybrid-cloud and multi-cloud architectures • High-performance networking • RDMA and NVMe over Fabrics • Kubernetes storage architectures and CSI • Automation and scripting using Python, Bash, PowerShell, or similar technologies • Infrastructure-as-Code and automation frameworks such as Terraform and Ansible • Databases, analytics platforms, and data-intensive applications • Large-scale enterprise storage environments • Performance engineering, workload characterization, and benchmarking Personal Attributes • Strong customer orientation and a passion for solving complex technical problems. • Hands-on mindset with a willingness to investigate technical challenges deeply. • Ability to manage multiple priorities in a fast-paced environment. • Creative thinker who is comfortable challenging assumptions and thinking outside the box. • Highly curious and eager to learn new technologies. • Strong sense of ownership and accountability. • Excellent collaboration and teamwork skills. • Comfortable working independently while collaborating closely with local and global teams. • Flexible and adaptable in rapidly changing environments. • Strong commitment to customer success and the overall success of VAST Data.

Description VAST Data is looking for a Performance Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. Requirements Key Responsibilities Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based). Work closely with developers to create and maintain a state of the art system tests Define, develop and execute various performance scenarios with deep system knowledge and understanding. Desired Skills & Experience At least 2 years’ experience in development of product testing, manufacturing, automation tools. Python is a big advantage. Knowledge of performance benchmark IO tools including MetaData, Data and various protocols such as NFS, S3, SMB- Advantage Knowledge of File Systems (NAS) / Block-level Storage/storage networking protocols. Experience with Linux & shell scripting: Python, bash. - an advantage Experience in analyzing large and diverse systems, understanding of regression processes and procedures. Background in developing test automation infrastructure and/or automating tests on a combination of Linux and Windows servers. Deep understanding of Computer systems / Operating systems (Unix, Linux, Windows) - must Demonstrated testing experience (Test Definition & Execution) in the following fields: Integration, Performance, Stress. B.Sc./B.A. degree in computer science, engineering or related discipline – an advantage Advantage Experience with virtualization, cloud, networking, or storage technologies Experience with tools like Jenkins and Git Good networking knowledge and experience with storage technologies

Description Shape the Future of AI Infrastructure with VAST Data This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution. Recognized by Forbes as "the future of the market," VAST Data is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before. Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless VASTronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data. We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. Work in a team of top-of-the-line software engineers, developing state-of-the-art management systems for Cloud solutions, managing mission-critical enterprise-level data platforms. Requirements Senior Python Backend Engineer (Cloud, Management & Data Engine) About the Role: We are looking for a top-of-the-line Senior Python Backend Engineer to develop state-of-the-art enterprise platforms, cloud solutions, and data engines. In this role, you will design mission-critical, high-availability distributed systems, build advanced APIs, and deploy software across diverse cloud and infrastructure ecosystems Key Responsibilities & Requirements: • Python Mastery: Proven, extensive server-side Python programming expertise. • Architecture & Scale: Strong background in building enterprise-grade, cloud-operated, or high-scale distributed systems with complex high-availability mechanisms. • API Development: Hands-on experience designing, scaling, and operating robust REST APIs and control planes. • Data & Linux: Proficiency working in Linux environments, database modeling/management, and robust integration testing within CI/CD pipelines. • Mindset: A fast learner, dedicated team player, and accurate system designer with exceptional coding capabilities. Advantages / Nice-to-Have (Depending on specific team focus): • Cloud: Experience deploying workloads on major Hyper-scalers (AWS, Azure, GCP). • Concurrency & Frameworks: Familiarity with either low-level Python concurrency (multi-threading/multi-processing) or modern Async frameworks (FastAPI, Async I/O, Pydantic). • Infrastructure & Events: Background in virtualization/storage/network management systems, event-driven architectures (e.g., Kafka), or serverless workloads. Teams: • Management Team: Enterprise Control Panel: Builds the end-to-end REST-to-RPC API pipeline to process complex client requests. Core Infrastructure: Manages storage, network, and virtualization layers, utilizing concurrent Python for cluster deployments and system upgrades. • Data Engine Services: focuses on a modern cloud-native ecosystem, demanding specialization in Kubernetes orchestration, event-driven architectures, and asynchronous Python (FastAPI/Async I/O) • Cloud Team: focuses on cloud-hosted SaaS platforms, bridging low-level Python system architecture with multi-cloud deployments across major hyper-scalers (AWS, Azure, GCP).

Description Location: Tel Aviv: DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic is running on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the world’s leading communication networks and are experienced in networking architecture or AI infrastructure solutions. The Role We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers. We’re looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers. The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry. Requirements Must: • BSc in Computer Science or related degree, or equivalent practical experience. • 5+ years of working as a Software Engineer. • Experience with the following coding languages: C++/ C - Must • Fast and self-learner of new technologies and coding languages Advantage • Experience working in Linux environment • Rust, Python • Experience with developing software infrastructures • Experience with computer networking software • Experience with high scale & performance optimizations

Description Senior DevOps Engineer - Cybersecurity Hybrid | Israel About the Company DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. DriveNets' Cybersecurity business unit is building an AI-powered security platform for the world's largest service provider networks. The platform combines a cloud-native microservices backend with self-hosted LLM inference, delivered into customers' own Kubernetes environments — often air-gapped, with no data leaving their premises. Responsibilities • Own the platform's Helm charts and make them portable across any Kubernetes distribution, including OpenShift (non-root, restricted SCCs, NetworkPolicies). • Operate the self-hosted operator stack: CloudNativePG, Strimzi, ECK, MinIO, Redis, and Temporal. • Run the Nx monorepo pipelines and drive the ArgoCD GitOps rollout. • Build zero-downtime releases using blue/green and canary deployments, expand/contract migrations, and automated rollback. • Manage autoscaling with KEDA/HPA, backup/restore for stateful services, and load-validation of stamp sizing tiers. • Provide on-call support for dev/staging environments and customer stamps. • Build and maintain observability using Grafana Alloy, OpenTelemetry, and Prometheus/Grafana — dashboards and alerts across services, Kafka, databases, and GPUs. • Improve developer experience through a shared dev cluster with local-debug traffic interception (Telepresence / mirrord), targeting sub-15-minute onboarding. Requirements Technical Skills • 5+ years of DevOps / platform engineering experience in a product company. • Deep hands-on experience with Kubernetes and Helm, including shipping software onto clusters you don't control. • Production experience with GitOps (ArgoCD/Flux), infrastructure as code, and zero-downtime release engineering. • Experience running stateful workloads on Kubernetes via operators (Kafka, PostgreSQL, Elasticsearch). • Solid grasp of observability fundamentals: Prometheus, Grafana, OpenTelemetry. • Comfortable operating in air-gapped environments without managed cloud services. Soft Skills • Strong cross-functional collaboration — works daily with AI/ML Ops, backend, research, and solutions teams on customer onboarding. • Comfortable owning production reliability and on-call responsibilities. Nice to Have / Advantage • Experience with OpenShift, KEDA, and Temporal. • Hands-on AI inference infrastructure experience: deploying and operating LLM inference on Kubernetes with GPUs (vLLM, TGI, Triton, or similar). • GPU scheduling and node readiness, model packaging for offline delivery. • Experience with LLM gateways (LiteLLM) and LLM observability (Langfuse). If your experience is close but doesn't fulfil all requirements, please submit your application. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with extended teams located in the US, Japan, and Romania, DriveNets operations cover more than twelve countries globally. Powering production networks for global tier-1 operators, DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. Visit our website to learn more: https://drivenets.com/company/

Description #LI-Hybrid About DriveNets DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. Location: Ra'anana / Tel Aviv The Role: We are looking for a Senior Network & Security Engineer to join our dynamic IT team. • Design, deploy, and operate enterprise and datacenter network infrastructure. • Manage and troubleshoot LAN, WAN, WLAN, VPN, and security environments. • Configure and maintain routers, switches, firewalls, load balancers, and related infrastructure. • Design and implement scalable network architectures based on modern cloud and hyperscale principles. • Drive network automation using Python, Golang, Shell, or similar technologies. • Build and enhance self-service infrastructure platforms supporting engineering and lab environments. • Monitor network performance, availability, and security using automated monitoring and alerting systems. • Collaborate closely with Infrastructure, Security, and Engineering teams to implement security controls and best practices. • Participate in architecture reviews, capacity planning, disaster recovery, and operational excellence initiatives. • Mentor team members and contribute to technical leadership across Requirements • 5+ years of hands-on experience designing and operating enterprise or datacenter networks. • Strong expertise in routing and switching technologies. • Experience with network security technologies including firewalls, VPNs, IDS/IPS, and network segmentation. • Hands-on experience with BGP, OSPF, VLANs, VRFs, and modern networking concepts. • Experience with VXLAN, EVPN, MPLS, or similar overlay technologies – an advantage. • Experience with network automation and scripting (Python, Golang, Shell, or similar). • Strong troubleshooting and problem-solving skills. • Excellent communication and collaboration abilities. Preferred Experience • Fortinet, Cisco, Palo Alto, Arista, Juniper, or F5 technologies. • Datacenter and cloud-scale environments. • Kubernetes and container networking. • Infrastructure-as-Code and automation frameworks. • Network Access Control (NAC) and Zero Trust architectures. More About DriveNets Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/

Description DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. We are looking for a highly motivated and detail-oriented Receptionist & People Operations Coordinator to support our office operations at DriveNets’ TOHA office in Tel Aviv. As part of our HR team, you will support the company’s day-to-day operations and help ensure the smooth functioning and maintenance of the office and its facilities. Responsibilities • Manage the front desk at DriveNets’ TLV office. • Welcome and greet guests. • Manage office maintenance, including the kitchen, office equipment, and facilities. • Serve as a point of contact for employees regarding administrative needs and help ensure an excellent employee experience. • Support various office operations activities. • Perform administrative duties and support special projects and cross-company initiatives. • Partner with the HR and Recruitment teams and support various HR-related activities. Requirements • At least 2 years of experience in an administrative role within a fast-paced and dynamic environment. Experience in a startup environment is a major advantage. • A people person with a positive attitude, pleasant and energetic nature, strong service orientation, and a collaborative mindset. • Strong sense of ownership, attention to detail, and the ability to see the big picture. • Highly developed operational skills, with the ability to plan, multitask, prioritize tasks, and ensure flawless execution. • High command of English, both written and spoken, is a must. • Proficiency in MS Office; Excel, Word, and PowerPoint - is a must. • Proficiency in Monday and other applications is a plus. • Available for a full-time, on-site position. • Familiarity with AI tools and the ability to use them to improve efficiency and support day-to-day tasks is a plus.

Description About the Company DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company’s disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets’ solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. Responsibilities and Duties • Join a new, fast-growing group at DriveNets chartered with building hardware infrastructure for AI-scale data centers. • Own hardware programs end-to-end: from initial requirements through validation, production, and deployment. • Manage the interaction between internal R&D teams and external hardware vendors (ODMs), ensuring hardware development aligns with DriveNets' software stack requirements and product timelines. • Collaborate cross-functionally with product management, systems architecture, software R&D, legal, and supply chain teams to align on requirements and execution plans. • Serve as the main technical point of contact with ODMs, managing technical discussions, tracking progress, and resolving issues. • Drive hardware and firmware planning, including schedule alignment with software integration cycles and overall AI data center rollout milestones. • Lead bug triage and resolution processes for hardware and firmware, including customer-reported issues. • Coordinate content and timelines for hardware and firmware releases, ensuring quality and timely delivery. • Identify and mitigate technical and schedule risks throughout the project lifecycle. • Provide technical guidance and hands-on engagement in board-level design issues, validation planning, hardware bring-up, and debugging. • Deliver regular status updates to executive stakeholders and drive decisions at critical project milestones. • Gather and communicate requirements in a collaborative manner across all stakeholders. Requirements Technical Skills • B.Sc. or higher in Electrical Engineering, Computer Engineering, or a related technical field. • 7+ years of experience in hardware program/project management or systems engineering roles. • Proven experience managing hardware development with external ODMs or hardware vendors. • Strong technical knowledge of networking hardware, high-speed board design, firmware, and hardware/software integration. • Experience with hardware validation, bring-up, and debugging tools. • Track record managing the full product lifecycle for hardware- and software-based products, from requirements to launch. • Working knowledge of project management methodologies (Agile and Waterfall). Soft Skills • Strong cross-functional collaboration skills, with the ability to align engineering, product, legal, and supply chain teams around a shared plan. • Excellent communication and negotiation skills, including the ability to translate technical hardware issues into business impact for executive stakeholders. • Proactive and comfortable operating with ambiguity, with the initiative to help stand up a new group and its processes from the ground up. Nice to Have / Advantage • Experience in the telecom or networking industry. • Background in AI infrastructure, data center, or GPU networking hardware. • Familiarity with whitebox hardware development models. • Experience in Agile or hybrid hardware-software development environments. • Experience with customer-facing issue management and escalation handling. • PMP certification or equivalent project management credential. • Exposure to DevOps practices and tooling.

Description Tel Aviv #LI-Hybrid DriveNets is redefining how hyperscalers and service providers build, automate, and operate next-generation networks. Our cloud-native Network Cloud platform powers some of the world’s largest infrastructures, including more than half of AT&T’s backbone. We are looking for a highly technical, hands-on System Architect to lead the architecture and evolution of DriveNets Automation Platform (DAP), with focus on: Infrastructure automation Service lifecycle orchestration Multi-tenant operations Intent-based networking Closed-loop assurance Cloud-native OSS transformation This role is ideal for architects passionate about scalable automation systems, distributed cloud-native platforms, and carrier-grade operational workflows. The Role As a DAP Infrastructure & Services Automation Architect, you will define and drive the architecture for automation frameworks enabling lifecycle management of DriveNets Network Cloud deployments at hyperscale. You will bridge: Network infrastructure NOS internals Kubernetes-native microservices OSS/BSS integration Telemetry and analytics CI/CD operational models AI-assisted operational automation You will work closely with: DAP engineering Infrastructure teams NOS platform groups DevOps/SRE Product management Tier-1 service provider customers Requirements Networking & Infrastructure • 6+ years designing large-scale Service Provider or hyperscale IP/MPLS networks • Strong understanding of: • BGP • ISIS • RSVP-TE • EVPN/VXLAN • Segment Routing • QoS architectures • Deep familiarity with distributed routing systems and disaggregated architectures Automation & Cloud-Native • 4+ years in network automation and orchestration • Strong knowledge of: • NetConf/YANG • gNMI • REST/gRPC • OpenConfig • Hands-on Kubernetes architecture experience • Strong understanding of: • Docker • Helm • Service meshes • Microservices • Event-driven systems Observability & Reliability- Experience with: • Prometheus • Grafana • OpenTelemetry • Kafka • Pulsar • RabbitMQ • Strong SRE mindset: • HA • Scalability • Failure domains • Reliability engineering • Operational resiliency Ideal Candidate Profile The ideal candidate combines: • Deep networking expertise • Cloud-native software architecture • Automation-first thinking • Operational scalability mindset • Strong customer-facing communication • Ability to translate hyperscale operational requirements into reusable platform capabilities This architect should be capable of designing systems that automate and operationalize distributed Network Cloud clusters as a unified, intent-driven platform while enabling future DAP expansion into advanced Infrastructure and Service orchestration domains. DriveNets is on a mission to build a special company comprised of individuals with diverse backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.

Description About the Company DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. Responsibilities • Design, build, and operate the internal engineering platform that powers DriveNets' build, test, deployment, and security validation workflows. • Write and maintain production code and automation for the tooling that runs build, test, and release. • Develop large-scale orchestration of complex environments across hybrid cloud and on-prem execution infrastructure. • Implement DevSecOps integrations and advanced automation across the platform. • Provide a scalable, reliable, and intelligent platform that enables hundreds of engineers to build, deploy, and validate a complex distributed networking product efficiently and safely. • Troubleshoot platform issues, take ownership, and drive solutions end-to-end. • Collaborate with engineering teams across the organization. Requirements Technical Skills • 3+ years of hands-on software development experience (primary requirement). • Strong programming skills and the ability to design, implement, and maintain production code. • DevOps experience: CI/CD, Linux, containers, and cloud infrastructure, with the ability to learn the platform's tooling on the job. • B.Sc. in Computer Science or equivalent practical experience. • Solid understanding of Linux, containers (Docker), and Git-based workflows. • Familiarity with CI/CD (GitHub Actions or similar) and infrastructure as code (Terraform, Helm, or similar). • Familiarity with cloud environments, AWS in particular, and an interest in hybrid cloud/on-prem systems. • You will work with: Kubernetes (EKS, on-prem), GitHub Actions, ARC, Karpenter, Terraform, Helm, Docker/DinD, Sysbox, containerd, BuildKit, ECR, S3, ElastiCache (Valkey), sccache, Direct Connect, VPC endpoints, IAM/OIDC, Secrets Manager, and self-hosted runners. Deep prior experience with this stack is not required; basic DevOps foundations and strong software engineering skills are enough to pick it up. Soft Skills • Strong system-level thinking and troubleshooting skills. • Ability to take ownership and drive solutions end-to-end. • Excellent communication and cross-team collaboration skills. Nice to Have / Advantage • Python or another high-level language used in production tooling. • Hands-on AWS experience (EKS, ECR, S3, IAM/OIDC, VPC, Secrets Manager). • Experience with runner pools, DinD test environments, or build caching (BuildKit, sccache). • Jenkins, GitHub merge queue, MinIO / on-prem S3 cache, hardware-in-the-loop CI, monorepo CI optimization. If your experience is close but doesn't fulfil all requirements, please submit your application. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with extended teams located in the US, Japan, and Romania, DriveNets operations cover more than twelve countries globally. Powering production networks for global tier-1 operators, DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. Visit our website to learn more: https://drivenets.com/company/

Description #Hybrid DriveNets builds high-performance networking solutions for large-scale AI infrastructure and service-provider networks. DriveNets’ Network Cloud powers production networks at global operators such as AT&T and Comcast, while its AI Fabric solutions optimize the performance and time to first token (TTFT) in multi-vendor AI environments at foundation model labs, NeoClouds, and enterprises. DriveNets combines high-performance networking, end-to-end automation, and full-stack AI cluster optimization to remove network bottlenecks, maximize GPU utilization, accelerate AI cluster deployments, and improve token economics Job Summary We are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our DriveNets Automation Platform (DAP) team. The team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments. You will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure — running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns. This role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems — not model training or research prototypes. Requirements • 8+ years of hands-on software engineering experience building production-grade backend services, APIs, or AI-powered systems. • Proven production experience with multi-agent AI systems: deployment, tracing, guardrails, hardening, and incident management. • Hands-on experience with agentic frameworks such as LangGraph, CrewAI, Google ADK, AutoGen, or equivalent. • Experience building and running evaluation pipelines for agentic solutions - including trajectory tracing, ground truth validation, and harshness/quality scoring. • Strong Python proficiency: comfortable building scalable backend services using gRPC and REST APIs. • Solid understanding of distributed systems: fault tolerance, consistency models, service communication, and operational challenges at scale. • Hands-on Kubernetes experience: deploying and operating containerized services, managing workloads, config, and scaling in production clusters. • Practical experience with embeddings, vector databases, and semantic retrieval systems in production. • Practical experience with RAG pipelines, LLM API integration, structured outputs, and tool calling in production environments including building and serving MCP servers at scale. • Working knowledge of SQL and/or NoSQL databases, schema design, and query optimization. • Strong debugging skills across application logic, APIs, data, and AI agent behavior. • Strong communication skills and a bias toward ownership and delivery. Nice to Have • Familiarity with Langfuse/Arize Pheonix. • Familarity with A2A & A2UI protocols. • Experience with network automation, orchestration, or configuration management (Ansible, Terraform, NETCONF, gNMI, or similar). DriveNets is on a mission to build a special company comprised of individuals with diverse backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.

Description Location: Tel Aviv Hybrid DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic runs on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. The Role We’re building a new orchestration platform for AI datacenters—software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence. You’ll join a small founding team (growing later) where every engineer ships. This is a hands-on architect role in the truest sense: you’ll own key architectural decisions and write production code 100% of the time, side-by-side with the team. If you like shaping systems at the “whiteboard-to-production” level—and you want your decisions to run at scale in real AI datacenters—this is that kind of role. You will work on all aspects of a new platform for managing AI Datacenters, building full on prem AI-first applications. Requirements Key Qualifications • 5+ years (or equivalent) building modern web applications. • Strong proficiency in TypeScript/JavaScript and front-end development fundamentals (DOM, HTTP, performance, browser behavior). • Solid experience with a modern UI framework such as React, Vue, or Angular (React preferred). • Back-end experience with at least one ecosystem (e.g., Node.js, Java, Python, Go) and building REST and/or GraphQL APIs. • Working knowledge of databases (SQL and/or NoSQL), schema design, and query optimization. • Practical experience with CI/CD, Git workflows, and shipping to production. • Strong communication skills and a bias toward ownership and delivery. • Knowledge of design patterns, such as MVP/MVC/MVVM, singleton, factory, etc. Nice to Have • Experience with cloud platforms (AWS/GCP/Azure), containers, and Kubernetes. • Observability tooling experience (OpenTelemetry, Prometheus, Grafana, Datadog, etc.). • Security mindset: OWASP Top 10 awareness and secure coding practices. • Experience developing large-scale, user-facing web products. • Experience with modern fullstack web frameworks (next.js, modern.js)