VAST Data

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 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 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 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. 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 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 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 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. 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 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. 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