Jobs in Tel Aviv-Yafo

Description VAST Data is looking for a Cloud FinOps 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. • Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity. • Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring "cost-by-design" is a core part of our infrastructure evolution. • Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage. • Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing consistent tagging policies, automated guardrails, and governance frameworks. • Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI. Requirements • 3+ years of experience managing cloud costs in complex, large-scale environments with a proven track record of moving the needle on cloud spend. • A proactive, hands-on executor: You don’t just report on costs; you actively identify overspend, propose technical solutions, and drive them to completion to deliver tangible savings. • Strong technical understanding of cloud-native architectures and experience in building or scaling efficient infrastructure. • Ability to analyze cloud usage economics to find the "sweet spot" between performance, scalability, and cost-efficiency. • Experience leading end-to-end cost optimization programs, from identifying inefficiencies to implementing company-wide governance. • Excellent communication skills and the ability to translate complex technical data into clear business insights for stakeholders at all levels. • B.Sc. in Computer Science, Software Engineering, or a related technical field. Technical Stack & Tooling: • Deep, hands-on experience with Azure, AWS, GCP, OCI • Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.). • Proficiency with platforms like Umbrella, Azure Cost Management, or similar. • Experience with Terraform/Ansible/Python or implementing automated cost-governance and tagging policies. • Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.). • Proficiency with platforms like Umbrella, Cloud Native cost management tools, or similar.

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 storage platform. • Build scalable and resilient distributed services handling petabytes of data across large clusters. • Participate in architecture discussions around consistency, replication, fault tolerance, and system scalability. • Investigate and resolve complex production issues spanning storage, networking, distributed services, and operating system layers. • 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.

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. Job Description: We’re looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure—someone who’s been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isn’t just about checking boxes on tech stacks—it’s about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions. In this role, you’ll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. You’ll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve. We want someone who’s comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels. Key Responsibilities: • Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes—designed for scale, modularity, and seamless integration across real-time and batch workloads. • Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools. • Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs. • Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams. • Integrate data validation, observability tools, and governance directly into the pipeline lifecycle. • Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark). • Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets. • Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads. • Operate and debug object store–backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads. Required Skills & Experience: • 2–4 years in software / solution or infrastructure engineering, with 2–4 years focused on building / maintaining large-scale data pipelines / storage & database solutions. • Proficiency in Trino, Spark (Structured Streaming & batch) and solid working knowledge of Apache Kafka. • Coding background in Python (must-have); familiarity with Bash and scripting tools is a plus. • Deep understanding of data storage architectures including SQL, NoSQL, and HDFS. • Solid grasp of DevOps practices, including containerization (Docker), orchestration (Kubernetes), and infrastructure provisioning (Terraform). • Experience with distributed systems, stream processing, and event-driven architecture. • Hands-on familiarity with benchmarking and performance profiling for storage systems, databases, and analytics engines. • Excellent communication skills—you’ll be expected to explain your thinking clearly, guide customer conversations, and collaborate across engineering and product teams.

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. Work in a team of top-of-the-line software engineers, developing state-of-the-art Vast AI OS platform for deployment in the Cloud to serve mission-critical enterprise-level data. VAST on Cloud software design includes: • A highly scalable distributed platform featuring complex high-availability mechanisms, and advanced APIs, interoperable with a diverse software ecosystem. • Deploying Vast OS in all major hyper-scalers cloud vendors Requirements Strong experience in C/C++ software engineering design, coding, integration, and debugging BSc/MSc degree in Computer Science, Engineering, or equivalent Understanding of the Linux operating system Python scripting — advantage Knowledge block-level Storage/file systems — advantage Experience in Cloud environment as AWS, Azure, GCP — an advantage Fast learner, team player, dedicated, accurate design and coding capabilities Location: Tel Aviv/Haifa

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. Requirements As a Technical Support, you will be regarded as a VAST Data product expert and, as such, you will be involved in daily technical operations and escalations. The main responsibilities include performing customer installations and technical evaluations, developing and testing and solutions in strategically and tactically significant applications and use cases, including File protocols, Machine learning, Object Storage, and high-performance computing, at customer sites and in the lab. You will consult on pre-sales and technical sales activities and will work on escalated technical support issues to resolution, interfacing with the customer and the development team. Required skill set: Overall 3+ years of experience in customer-facing, pre-sale/post-sale positions working with complex IT solutions. Extensive knowledge and experience in the enterprise IT infrastructure, networking and storage space is required, along with a broad understanding of the enterprise software world. Significant experience required in the areas of file systems and scale-out NAS Implementation An advantage to candidates that have In-depth knowledge and hands-on experience with S3 and high-performance computing. Excellent written and verbal communication and presentation skills. An advantage to candidates that have hands-on lab and hardware management experience. An advantage to candidates that have experience working in a rapidly growing entrepreneurial, dynamic start up. MS or B.Sc. in CS, CE, EE or related fields. Ability to travel. To be successful in this role, you will need to travel around 20% of the time.

Description VAST Data is looking for a Infrastructure Team Leader 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 What You’ll Be Doing • Lead a team of 5-7 talented Software Engineers • Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization. • Among the different tools: • test infrastructure used by the QA • Maintain and develop API and interfaces facing the company storage product + different cloud providers. • full stack bug investigation portal • VM orchestration • Collaborate with other teams to improve the productivity of the entire R&D organization. • Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage, Requirements: • 5+ years of Python development experience (Object Oriented programming - not scripts). • 2+ years experience working on Linux platform, be comfortable with Linux. • 3+ years of experience in leading teams. • Strong technical abilities, problem-solving, design, coding and debugging skills. • Highly motivated and independent • Strong problem solver and out-of-the-box thinker • Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision. • Strong communication abilities • Strong multi-tasking abilities Advantage: • Network, Storage, Virtualization, Docker, Git, HTTP, REST

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 Linux Kernel Development Experience System programming in C/C++. Solid networking knowledge (OSI network layers, TCP/IP) Python/Git- advantage Knowledge block-level Storage/file systems — advantage BSc/MSc degree in Computer Science, Engineering or equivalent

Description VAST Data is looking for a Senior Infrastructure Developer 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 What You’ll Be Doing • Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization. • Among the different tools: • test infrastructure used by the QA • Maintain and develop API and interfaces facing the company storage product + different cloud providers. • full stack bug investigation portal • VM orchestration • Collaborate with other teams to improve the productivity of the entire R&D organization. • Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage, Requirements: • 3+ years of Python development experience (Object Oriented programming - not scripts). • 2+ years experience working on Linux platform, be comfortable with Linux. • Strong technical abilities, problem-solving, design, coding and debugging skills. • Highly motivated and independent • Strong problem solver and out-of-the-box thinker • Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision. • Strong communication abilities • Strong multi-tasking abilities Advantage: • Network, Storage, Virtualization, Docker, Git, HTTP, REST

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 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. 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 VAST Data is looking for a QA Automation 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 testing plans 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 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 QA 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 Location: Tel Aviv - Israel

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 #LI-Hybrid About Us 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 DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms. If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems — we want to hear from you! Responsibilities: • Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure). • Manage and evolve virtualization platforms such as VMware and KVM (Proxmox). • Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices. • Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization. • Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI. • Automate infrastructure provisioning, configuration, monitoring, and operational workflows. • Build and maintain internal tools to improve developer experience and engineering productivity. • Ensure system reliability, performance, and cost optimization across cloud and on-prem environments. • Maintain high security standards, compliance, and operational best practices. • Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments. • Develop and maintain clear technical documentation. Requirements • 5+ years of experience in DevOps / IT Infrastructure / System Engineering roles in global hi-tech environments. • Strong hands-on experience with cloud platforms (AWS and Azure). • Proven experience with VMware / Nutanix / KVM environments. • Experience with Azure Entra ID (Azure AD), including SSO, MFA, Conditional Access, and identity lifecycle management. • Strong Linux administration skills. • Solid scripting abilities (PowerShell, Python, Bash, or similar). • Experience with automation and Infrastructure as Code tools (e.g., Terraform — advantage). • Familiarity with networking concepts: firewalls, VPNs, switches, WiFi, NAC, ZTNA (FortiGate — advantage). • Experience with enterprise MDM solutions (Microsoft Intune, MobileIron/IVANTI). • Hands-on experience with backup solutions such as Commvault Metallic, Veeam, or Commvault. • Ability to work in high-pressure, mission-critical environments. • Business-level English (written and spoken). Advantages: • Experience with Kubernetes, Docker, and containerized environments. • Knowledge of CI/CD pipelines and DevOps methodologies. • Relevant certifications (AWS/Azure Architect, RHCE, CCNA, MCSA). • Advanced networking knowledge (routing, switching, VPNs). • Experience with large-scale networking, telco, or cloud infrastructure environments. Soft Skills: • Strong service orientation and communication skills. • Independent problem solver with a proactive mindset. • Team player with excellent time management skills. 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 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 #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 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. Having raised $587 million in three funding rounds, DriveNets is disrupting the networking market with high-scale architectures and cloud-native platforms. We are seeking people who want to make an impact on the world’s leading communication networks and have experience building large-scale distributed systems. The Group The Management Plane group builds high-performance customer interfaces and core frameworks for configuring and monitoring large-scale distributed systems. This includes a distributed transaction framework, large-scale operational state monitoring and telemetry, and APIs for interacting with the system’s configuration and runtime state. The group serves both external customers and internal R&D teams that integrate their features into the product. Meeting the system’s scale and performance requirements often requires more than incremental improvements. The group frequently undertakes large-scale improvements, deep optimizations, and systemic architectural redesigns to ensure performance and reliability in a resource-constrained environment. The Role We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems. This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers. This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end. Requirements • 7+ years of professional experience as a software engineer, building and maintaining production systems. • Demonstrated ability to lead the design and implementation of complex systems. • Proven experience designing and implementing classical algorithms (not AI/ML) and data structures in production environments. • Strong experience with database systems, both SQL and NoSQL, including schema design and performance considerations. • Ability to quickly learn new technologies and programming languages and apply them effectively to complex systems. • Strong proficiency in C++ and Python. • Experience with Rust — an advantage. • BSc in Computer Science or a related field, or equivalent practical experience.

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 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 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)