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. 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. Key Responsibilities • Design & Develop Core Components: Build, maintain, and optimize highly scalable, resilient distributed services, storage engines, or data-processing pipelines written in C/C++. • System Architecture & Resilience: Drive architectural discussions and implementations around high availability, data consistency, replication mechanisms, fault tolerance, and multi-node concurrency. • Performance Optimization: Optimize hot execution paths, low-level data structures, memory management, and I/O subsystems to guarantee high throughput and minimal latency. • Complex Debugging & Troubleshooting: Investigate and resolve intricate production issues spanning the application layer, distributed networking protocols, file systems, and operating system kernels. • End-to-End Ownership: Take full technical ownership of critical features—from ambiguous requirements and system design through implementation, rollout, and observability in production environments. Teams Storage Platform: Focuses on building a next-generation distributed storage platform handling petabytes of data across large clusters specifically designed to power AI, enterprise, and analytics workloads. Handling everything that touches the hardware and operating system aspects in a software defined storage system Data Path: Focuses on engineering a highly distributed, latency-critical Hot I/O Data Path and Element Store engine. This role is responsible for the ingestion, state-of-the-art compression, encoding, and retrieval of multi-protocol data (files and objects) under massive concurrency and ultra-low latency requirements. Database: Focuses deeply on core relational database internals, specifically designing low-level storage engines, B-Tree/LSM-Tree data structures, MVCC concurrency control, and query execution planners. Kernel: Focuses on the lowest software layers, emphasizing Linux Kernel development and block-level storage/file system engineering. Protocols: Focuses strictly on engineering high-concurrency data/metadata paths that replicate external AWS S3 object-storage behavior and correctness under heavy retry and failover pressure. Cloud: Focuses on cloud-native storage deployment (VAST OS), adapting and scaling complex high-availability storage infrastructure across major hyper-scaler cloud environments (AWS, Azure, GCP). Compute Kafka: Focuses on distributed event-streaming and messaging platforms, specifically building a high-scale, exactly-once broker compatible with the Apache Kafka wire protocol. Requirements Qualifications & Requirements • Education: B.Sc. or M.Sc. in Computer Science, Software Engineering, Computer/Electrical Engineering, or equivalent practical experience. • C/C++ Expertise: Strong hands-on experience in C/C++ systems programming, including design, coding, integration, and advanced debugging in production environments. • Deep Linux Internals: Solid understanding of Linux operating systems, including process and thread management, synchronization primitives, memory allocation, and I/O performance troubleshooting. • Distributed Systems: Proven track record of developing complex backend services or distributed platforms focusing on scalability, concurrency, reliability, and failover mechanisms. • Networking Fundamentals: Strong working knowledge of networking concepts, including the OSI model, TCP/IP, routing, and distributed communication patterns.

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 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. Requirements Requirments • B.Sc./B.A. degree in Computer Science, Computer Engineering, Software Engineering, or a related field. • Good understanding of the Linux operating system. • Academic transcripts (grade sheet) – required. Advantages • Experience with C/C++. • Experience with Python scripting. What We're Looking For • Strong analytical and problem-solving skills. • Eagerness to learn and grow in a dynamic environment. • Excellent teamwork and communication skills.

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 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 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 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 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 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 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 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 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/

We Are Teva We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together. Our Team, Your Impact The Senior Director, HR Business Partner serves as the strategic people partner to the executive leaders of Global Finance, Global Legal, Global Human Resources, Global Information Technology and Global Communications/Corporate Affairs. As a member of the respective leadership teams, this role shapes and executes integrated people strategies that enable Teva’s ‘Pivot to Growth’ strategy, strengthen organizational capabilities, accelerate transformation and deliver sustainable business performance. The role is a trusted advisor on enterprise-critical people and organizational matters, bringing an informed understanding of the distinct talent markets, operating models, regulatory requirements and transformation agendas affecting these functions while creating alignment across them. This position can be based in either our Offices in Haarlem (Netherlands) or Tel Aviv (Israel) How You’ll Spend Your Day • Serve as an active member of the supported functions’ leadership teams, contributing a people and organizational perspective to business strategy, operating plans, investment decisions and enterprise priorities. • Translate enterprise and functional strategies into integrated workforce, organization, talent, culture and leadership priorities, with clear outcomes and measures of impact. • Advise executives on organizational effectiveness, operating-model design, spans and layers, decision rights, leadership-team effectiveness and the people implications of business decisions. • Sponsor succession planning, executive development and differentiated talent strategies for critical roles, senior leaders and high-potential talent, ensuring robust and diverse pipelines. • Lead the people strategy for major transformations, including digital enablement, AI adoption, operating-model changes, restructuring, integrations and enterprise capability shifts. • Develop and implement comprehensive change strategies that build sponsorship, engagement and adoption of new processes, technologies, organizational structures and ways of working. • Use workforce insights, external trends and people analytics to identify organizational, talent, succession, culture and change risks, challenge assumptions and guide evidence-based decisions. • Partner across HR Centers of Excellence, regional and country HR teams and business stakeholders to deliver integrated, scalable solutions, strengthen collaboration across Finance, Legal, HR, IT and Communications, and maintain clear accountability for business outcomes. Your Skills and Experience • Minimum 15 years of progressive HR experience, including significant experience in senior HR business partnering roles within complex, global organizations. • Bachelor’s degree required; Master’s degree preferred • Demonstrated experience partnering with C-suite executives and serving as a credible, constructive member of senior leadership teams. • Strong expertise in organizational design, strategic workforce planning, executive succession, leadership effectiveness and large-scale transformation. • Strong commercial and financial acumen, with the ability to connect people decisions to business performance, enterprise risk and value creation. • Demonstrated ability to use people analytics, workforce insights and external trends to frame issues, test assumptions and influence executive decisions. • Proven ability to navigate a complex global matrix, integrate perspectives and influence outcomes without direct authority. • Proven success leading organizational change and building alignment, commitment and accountability across diverse stakeholder groups. • Executive presence, sound judgment and exceptional influencing, coaching, facilitation and relationship-management skills, with the discretion to manage confidential, legally sensitive and enterprise-critical matters. Reporting to Chief Human Resources Officer (CHRO) How We’ll Take Care of You At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community.  When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.  Already Working @Teva? Make sure to apply through our internal career site on Twist—your one-stop shop for career development Teva’s Equal Employment Opportunity Commitment Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.