Jobs in Tel Aviv-Yafo

Description Deloitte, the world’s leading professional services firm, is looking for an Accounting student to join our Audit practice. This is a great opportunity for Accounting students to gain hands-on experience in the Audit division, integrate quickly into professional client work, and build knowledge within a leading global firm. As part of the role, you will: • Take part in audit, review, and support activities for a variety of companies • Gain in-depth exposure to clients’ business processes in Israel and around the world • Work as part of a team while engaging with clients in both the Israeli and US markets • Enjoy challenging, meaningful work with strong opportunities for professional and personal growth Requirements B.A. student in Accounting – mandatory High level of English proficiency – mandatory Full proficiency in Excel – mandatory Availability to work 3 days a week – mandatory Strong team player with ambition, a willingness to learn, and a high level of service orientation Description Hebrew ל Deloitte - הפירמה המובילה והגדולה בעולם לשירותי ייעוץ וראיית חשבון דרוש/ה סטודנט/ית למשרת טרום התמחות בראיית חשבון עבור חטיבת הביקורת. במסגרת התפקיד: • אחריות על ביצוע ביקורת, סקירה וליווי של חברות. • היכרות מעמיקה עם תהליכי העבודה של לקוחותינו בארץ ובעולם. • עבודה כחלק מצוות, תוך התנהלות למול לקוחות במשק הישראלי והאמריקאי. • עבודה מאתגרת המציעה אופק קידום מקצועי ואישי. * המשרה פונה לנשים וגברים כאחד. Requirements Hebrew • סטודנט/ית לתואר ראשון בחשבונאות - חובה • אנגלית ברמה גבוהה - חובה • שליטה מלאה ב Excel - חובה • זמינות ל- 3 ימי עבודה - חובה • שחקן/ית צוות, שאפתנות, יכולת למידה ותודעת שירות גבוהה.

Description Deloitte - the leading and largest firm in the world for consulting and accounting services is looking for an Accounting Intern for the Audit and Assurance division, Financial Sector. **Opportunity for accounting degree graduates to integrate immediately as interns in the Audit and Assurance division and be exposed to knowledge and professional work processes in a leading global firm. What you will do: • Responsibility for auditing, reviewing and accompanying reports and capital statements. • Gaining In-depth familiarity with the work processes of our clients in Israel round the world. • Working as part of a team, while dealing with customers in the Israeli economy. • Challenging work that offers a horizon of professional and personal advancement. • Develop a deep understanding of our clients’ business processes. • Work collaboratively as part of a team, interacting directly with clients. • Engage in challenging assignments offering significant professional and personal growth opportunities. * Based at Deloitte’s Tel Aviv office. Requirements • Bachelor's degree in accounting - mandatory • English at a high level - mandatory •Availability to work full-time - mandatory • Can-do attitude and a desire to learn and grow. • Team player, ambitious, able to learn and have a high sense of service. ** At Deloitte, we believe that diversity and inclusion among our people is a critical component of our success, and therefore we foster an organizational culture that includes and embraces diversity in all its forms. Description Hebrew ל Deloitte - הפירמה המובילה והגדולה בעולם לשירותי ייעוץ וראיית חשבון דרוש/ה מתמחה בראיית חשבון עבור חטיבת Audit and Assurance, לאשכול הפיננסים. הזדמנות לבוגרי/ות תואר בחשבונאות להשתלב כמתמחים/ות בחטיבת Audit and Assurance באופן מידיי ולהיחשף לידע ותהליכי עבודה מקצועיים בפירמה גלובלית ומובילה. במסגרת התפקיד: • אחריות על ביצוע ביקורת, סקירה וליווי של חברות. • היכרות מעמיקה עם תהליכי העבודה של לקוחותינו בארץ ובעולם. • עבודה כחלק מצוות, תוך התנהלות למול לקוחות במשק הישראלי והאמריקאי. • עבודה מאתגרת המציעה אופק קידום מקצועי ואישי. • ביצוע ביקורות, סקירות וליווי חברות פיננסיות לאורך כל התהליך. העבודה הינה במשרדי הפירמה תל אביב. המשרה פונה לנשים וגברים כאחד. Requirements Hebrew • בוגר/ת תואר ראשון בחשבונאות- חובה • אנגלית ברמה גבוהה • שליטה מלאה בעבודה עם Excel- חובה • זמינות לעבודה במשרה מלאה- חובה • ראש גדול ורצון ללמוד ולהתקדם. • שחקן/ית צוות, שאפתנות, יכולת למידה ותודעת שירות גבוהה. אנו ב-Deloitte מאמינים כי גיוון והכלה בקרב אנשינו הוא מרכיב קריטי בהצלחה שלנו ולכן אנו מטפחים תרבות ארגונית שמכילה ומאמצת גיוון על כל צורותיו.

Description Deloitte Israel is seeking an experienced attorney with a strong business and technology orientation to join our Legal and Risk Management team as a Legal Counsel and Risk Manager – Commercial & Technology, serving as a key partner in supporting the firm’s business activities. This role involves advising on complex transactions and engagements, negotiating commercial agreements, and providing practical legal counsel and risk management guidance in a dynamic, innovative, and collaborative environment. Key Responsibilities: Provide ongoing legal support for the firm's commercial and technology-related activities. Draft, review, and negotiate a wide range of commercial and technology agreements. Advise business units and key stakeholders on legal matters and risk management considerations. Identify business, legal, and regulatory risks and propose solutions that balance commercial objectives with legal, regulatory, and compliance requirements. Work closely with multiple stakeholders across the firm, as well as with business partners and external counsel in Israel and abroad. Support complex and strategic projects involving technology, cloud services, artificial intelligence (AI), and business collaborations. Provide legal support for mergers and acquisitions (M&A) transactions undertaken by the firm. What We Offer? A meaningful role at the heart of the business operations of a leading global organization. Exposure to a wide variety of transactions, technologies, and innovative projects. A professional, dynamic, and multidisciplinary work environment. Opportunities for professional and personal growth and development. Hybrid work model. Requirements Qualifications and Experience • Attorney-at-law qualified in Israel and a member of the Israel Bar Association. • LL.B. degree from a recognized leading academic institution. • Experience and/or ability to work with AI tools - mandatory. • An additional degree in Economics, Accounting, Business Administration, Technology, Information Systems, or a related field is a significant advantage. • Approximately 3 to 5 years of experience at a leading commercial law firm in the commercial or high-tech sector and/or in the legal department of a technology company. • Proven experience drafting, reviewing, and negotiating commercial and technology agreements, including services agreements, SaaS agreements, software licensing agreements, partnership agreements, supplier agreements, and customer agreements. • Excellent English skills, including legal drafting and contract negotiation. • Strong legal drafting and communication skills. • Ability to manage multiple tasks simultaneously, prioritize effectively, and perform under pressure in a fast-paced environment. • Ability to work independently while also being an effective team player. • Strong business acumen, analytical capabilities, strategic thinking, creativity, attention to detail, and accuracy. • Initiative, personal accountability, and the ability to lead processes and drive outcomes. • Excellent interpersonal skills and a strong service orientation. • Full proficiency in Microsoft Office applications (Word, PowerPoint, and Excel). • Openness to innovation and the adoption of advanced technologies and AI tools in legal practice. Description Hebrew אנחנו מגייסים עורך/ת דין מנוסה, בעל/ת אוריינטציה עסקית וטכנולוגית, להצטרף לצוות ניהול סיכונים וייעוץ משפטי ולהוות שותף/ה מרכזי/ת בליווי הפעילות העסקית של הפירמה. התפקיד כולל ליווי עסקאות והתקשרויות מורכבות, ניהול משא ומתן מסחרי ומתן ייעוץ פרקטי בסוגיות משפטיות ובהיבטי ניהול סיכונים, בסביבה דינמית, חדשנית ומרובת ממשקים. תחומי אחריות: • ליווי משפטי שוטף של הפעילות המסחרית והטכנולוגית של הפירמה. • ניסוח, סקירה וניהול משא ומתן על מגוון רחב של הסכמים מסחריים וטכנולוגיים. • מתן ייעוץ שוטף בסוגיות משפטיות ובהיבטי ניהול סיכונים ליחידות העסקיות ולגורמי מפתח בפירמה. • זיהוי סיכונים עסקיים, משפטיים ורגולטוריים והצעת פתרונות המאזנים בין צורכי היחידות העסקיות לבין חשיפות משפטיות ורגולטוריות ודרישות ציות. • עבודה שוטפת מול גורמים רבים בפירמה, שותפים עסקיים ויועצים חיצוניים בארץ ובחו״ל. • ליווי פרויקטים מורכבים ואסטרטגיים של הפירמה בתחומי הטכנולוגיה, הענן, הבינה המלאכותית (AI) ושיתופי פעולה עסקיים. • מתן ליווי משפטי לעסקאות מיזוגים ורכישות (M&A) המבוצעות על ידי הפירמה. מה אנחנו מציעים? • תפקיד משמעותי בלב העשייה העסקית של ארגון גלובלי מוביל, צומח ומתפתח. • חשיפה למגוון רחב של עסקאות, טכנולוגיות ופרויקטים חדשניים. • עבודה בסביבה מקצועית, דינמית ורב־תחומית. • הזדמנויות להתפתחות מקצועית ואישית. • מתכונת עבודה היברידית. Requirements Hebrew דרישות התפקיד: • עורך/ת דין מוסמך/ת וחבר/ה בלשכת עורכי הדין בישראל. • תואר ראשון במשפטים (LL.B) ממוסד אקדמי מוכר ומוביל. • ניסיון ו/או יכולת עבודה עם כלי AI - חובה. • תואר נוסף בתחומי כלכלה, חשבונאות, מנהל עסקים, טכנולוגיה ומערכות מידע – יתרון משמעותי. • כ־3–5 שנות ניסיון במשרד עורכי דין מסחרי מוביל בתחום המסחרי או ההייטק ו/או במחלקה משפטית של חברת טכנולוגיה. • ניסיון מוכח בניסוח, סקירה וניהול משא ומתן על הסכמים מסחריים וטכנולוגיים, לרבות הסכמי שירותים, SaaS, רישוי תוכנה, שיתופי פעולה, ספקים ולקוחות. • אנגלית ברמה גבוהה מאוד, לרבות כתיבה וניהול משא ומתן באנגלית. • יכולת ניסוח משפטי גבוהה ויכולת התנסחות כללית ברמה גבוהה. • יכולת לנהל מספר משימות במקביל, לתעדף משימות ולעבוד תחת לחץ ובסביבה דינמית. • יכולת עבודה ולמידה עצמאית לצד עבודה בצוות. • חשיבה עסקית, יכולת ניתוח גבוהה, ראייה הוליסטית וחשיבה יצירתית, לצד יכולת ירידה לפרטים ודיוק. • יוזמה, אחריות אישית ויכולת להוביל תהליכים. • יחסי אנוש מצוינים ותודעת שירות גבוהה. • שליטה מלאה ביישומי Office, לרבות Word, PowerPoint ו־Excel. • פתיחות לחדשנות ולאימוץ טכנולוגיות וכלי AI מתקדמים בעבודה המשפטית. העבודה במודל היברידי במשרדי החברה בת"א/ מהבית אנו ב-Deloitte מאמינים כי גיוון והכלה בקרב אנשינו הוא מרכיב קריטי בהצלחה שלנו ולכן אנו מטפחים תרבות ארגונית שמכילה ומאמצת גיוון על כל צורותיו.

Description Deloitte R&D and Innovation Center is looking for a Head of AI Solutions. We are looking for a senior, client-facing technology leader to shape, sell, and deliver high-impact AI and agentic-AI solutions for leading organizations in Israel. This is a growth-oriented role for someone who can earn the trust of CIOs and business executives, translate complex business challenges into compelling solution strategies, and lead successful delivery from first conversation through execution. You will work alongside Deloitte’s go-to-market, consulting, engineering, data, and AI teams to develop strategic client opportunities and turn them into scalable, production-ready solutions. The role combines commercial acumen, enterprise architecture expertise, and hands-on leadership of complex technology programs. In this role, you will: • Lead the full client journey for AI and agentic-AI opportunities, from opportunity shaping and executive discovery to presales, proposal development, solution design, commercialization, and delivery oversight. • Build trusted relationships with CIOs, CTOs, CDOs, and business executives; lead executive conversations that connect AI investment to measurable business outcomes. • Partner with Deloitte’s go-to-market leaders to originate and advance strategic opportunities in the Israeli market, contribute to account plans, and support the development of a sustainable sales pipeline. • Lead end-to-end solution architecture for complex enterprise engagements, combining organizational data, AI and machine-learning capabilities, cloud platforms, enterprise applications, integrations, and operating-model considerations. • Shape agentic AI solutions, including agent orchestration, tool calling, retrieval-augmented generation, human-in-the-loop workflows, security controls, observability, evaluation, and production operations. • Develop clear, compelling client proposals, solution blueprints, value cases, and delivery approaches that balance client value, technical feasibility, delivery risk, and commercial viability. • Own the transition from presales to delivery, ensuring that the scope, solution, estimate, milestones, responsibilities, and client expectations agreed during the sales process are executable. • Lead multidisciplinary delivery teams, including engineers, architects, data scientists, and product specialists; manage delivery plans, dependencies, risks, milestones, and senior client communication. • Establish quality and success measures for AI solutions, including business outcomes, adoption, task success, reliability, tool-use accuracy, latency, cost, safety, and responsible-AI requirements. • Guide clients through technical and organizational decisions on data readiness, platform selection, governance, security, privacy, and change adoption. • Build reusable Deloitte assets, reference architectures, accelerators, and solution patterns that strengthen differentiation and accelerate future engagements. • Represent Deloitte’s AI and engineering capabilities in client forums, executive workshops, industry events, and thought-leadership activities. Requirements • 10+ years of experience in technology consulting, enterprise solution architecture, systems integration, or technology-led professional services. • Proven experience leading complex presales and solution-design processes, including shaping large-scale engagements, developing proposals, and presenting to senior client stakeholders. • Demonstrated ability to build credibility with C-suite and senior technology leaders and to translate business priorities into practical technology roadmaps and investment cases. • Strong enterprise architecture expertise across cloud, data platforms, APIs and integrations, security, software engineering, and enterprise applications. • Practical knowledge of generative AI and agentic systems, including LLM applications, retrieval-augmented generation, agent orchestration, evaluation, observability, and responsible AI. • Experience with, or strong working knowledge of, tools and frameworks such as LangChain, LangGraph, Langfuse, or comparable platforms for agent orchestration, tracing, evaluation, and monitoring. • Experience leading the delivery of complex technology programs, including team leadership, client governance, planning, budgeting, risk management, and delivery assurance. • Strong commercial acumen, with the ability to articulate value, shape delivery models, and contribute to successful deal qualification and closing. • Exceptional written, presentation, and communication skills in Hebrew and English. • Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field; advanced degree or MBA is an advantage. Nice to Have • Experience working for a leading technology services provider, systems integrator, consulting firm, or enterprise software organization. • Experience delivering AI, data, cloud, or digital-transformation programs for large Israeli enterprises. • Familiarity with LLMOps and MLOps, AI governance, data governance, cyber security, privacy, and regulatory considerations. • Experience working with global delivery teams or supporting international client engagements. What We Offer • A senior leadership role with significant influence on Deloitte Israel’s AI go-to-market strategy and client portfolio. • The opportunity to work at the intersection of executive advisory, emerging technology, and hands-on solution delivery. • A Senior Manager-level position with a defined path toward Managing Director, linked to the growth of client activity, successful delivery, and business impact. Full time Job Location: Tel Aviv, Hybrid We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms.

Description Deloitte is seeking an experienced Consultant to join a leading project at one of Israel’s largest financial institutions. This is an excellent opportunity to take on a meaningful role involving participation in audit and internal control processes, collaboration with a wide range of stakeholders, and exposure to a professional, dynamic, and challenging environment. Key Responsibilities • Participate in the execution of internal audit and internal control engagements • Support and perform SOX / ISOX processes, including testing the effectiveness of controls • Work closely with a variety of stakeholders and cross-functional interfaces • Prioritize tasks and manage work independently while also contributing as part of a team • Maintain high quality, accuracy, and adherence to professional standards Requirements • Accounting studies – required • Bachelor’s degree in Accounting – an advantage • Full-time availability – required • Strong ability to work in a team, with initiative, organization, and attention to detail • High level of service orientation and strong attention to detail • Professional knowledge and experience in audit and SOX or ISOX processes (at least 2 years) • Experience and/or ability to work with AI tools – Mandatory • Knowledge and/or experience in the financial services sector (banking / insurance / credit) – an advantage and preferred We at Deloitte believe that diversity and inclusion among our people is a critical element in our success and therefore we cultivate a corporate culture that includes and embraces diversity in all its forms. Description Hebrew ל-Deloitte דרוש/ה יועץ/יועצת מנוסה לעבודה על פרויקט מוביל בגוף פיננסי מהגדולים בישראל. זו הזדמנות מצוינת להצטרף לתפקיד משמעותי הכולל השתלבות בתהליכי ביקורת ובקרה, עבודה מול ממשקים מגוונים וחשיפה לסביבה מקצועית, דינמית ומאתגרת. תחומי אחריות: • השתלבות בביצוע תיקי ביקורת ובקרה פנימית • ליווי וביצוע תהליכי SOX / ISOX ובדיקת אפקטיביות בקרות • עבודה שוטפת מול מגוון ממשקים ובעלי עניין • תעדוף משימות וניהול עבודה עצמאית לצד עבודה צוותית • שמירה על איכות, דיוק ועמידה בסטנדרטים מקצועיים גבוהים למה Deloitte? הצטרפות ל-Deloitte היא הזדמנות לקחת חלק בפרויקטים משמעותיים, לעבוד לצד אנשי מקצוע מובילים, להעמיק מומחיות מקצועית ולהיות חלק מסביבה מתקדמת, מקצועית ומתפתחת. Requirements Hebrew • תואר ראשון רלוונטי- חובה • תואר בחשבונואות- יתרון • ידע מקצועי ונסיון בעולמות הביקורת ו- SOX או ISOX - חובה • זמינות לעבודה במשרה מלאה- חובה • ניסיון ו/או יכולת עבודה עם כלי AI – חובה • יכולת גבוהה לעבוד בצוות, יוזמה, סדר וארגון. • יכולת ירידה לפרטים הקטנים ותודעת שירות גבוהה • ידע/נסיון בסקטור הפיננסי (בנקאות/ביטוח/אשראי) – יתרון ועדיפות אנו ב-Deloitte מאמינים כי גיוון והכלה בקרב אנשינו הוא מרכיב קריטי בהצלחה שלנו ולכן אנו מטפחים תרבות ארגונית שמכילה ומאמצת גיוון על כל צורותיו.

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 passionate and detail-oriented Product Owner & Engineer to join our team. In this role, you will collaborate closely with development teams to define new features, contribute to functional requirement documentation (FRD), and ensure seamless UX design and implementation. A core part of this role is maintaining close alignment with customers. You will actively engage with customers, gather feedback, understand real-world use cases, and translate their needs into clear product requirements. You will work closely with Support and QA to ensure our testing strategy and supportability reflect actual customer environments and workflows. Beyond core development, you will assist in critical escalations, manage complex or high-visibility installations, and develop tools that enhance the overall user experience. You will leverage telemetry data, production insights, and direct customer feedback to continuously refine and improve our products, ensuring they deliver measurable value in real-world deployments. Key Responsibilities • Collaborate closely with Product and Engineering teams to define, refine, and prioritize features that directly address real customer needs and business impact. • Translate customer requirements and field insights into clear, structured Functional Requirement Documents (FRDs), while actively contributing to UX discussions to ensure intuitive and seamless user experiences. • Work closely with QA and Support to align testing strategies and troubleshooting workflows with real-world customer environments, ensuring reliability, operability, and supportability at scale. • Serve as a technical and product focal point during critical customer escalations and high-visibility deployments, ensuring timely resolution and long-term improvements • Develop tools and scripts to enhance user experience and operational efficiency. • Leverage telemetry, usage analytics, and direct customer feedback to drive data-informed decisions and continuously improve product performance and adoption. • Proactively identify risks, gaps, and cross-team dependencies, removing roadblocks to ensure successful delivery and measurable customer outcomes. Requirements Qualifications & Skills • Proven experience in software development, technical product management, or advanced technical support within complex infrastructure environments. • Demonstrated experience with storage technologies and protocols such as NFS, S3 (object storage), SMB, and familiarity with enterprise storage architectures and distributed file systems. • Strong hands-on experience with Linux, Python, and networking concepts (TCP/IP, routing, switching, large-scale deployments). • Ability to analyze and solve complex technical challenges in scale-out Linux environments, HPC workloads, AI training infrastructures, and advanced networking architectures. • Experience collaborating across cross-functional teams - Engineering, QA, and Support - using industry-standard tools such as Jira, Slack, GitLab, Git, unit testing frameworks, and QTest. • Strong analytical skills with the ability to leverage telemetry, usage data, and customer insights to guide product decisions and prioritize effectively. • Experience working with observability and data platforms, including time-series databases (e.g., Prometheus), multi-tenant log aggregation systems, Slack and Salesforce integrations, and AI-driven automation workflows - a strong advantage. • Familiarity with scripting and automation using Python, REST APIs, OpenTelemetry (OTEL), and Bash to improve operational efficiency and supportability. • Excellent communication skills, with the ability to bridge technical depth and customer-facing clarity. • A proactive, customer-first mindset with strong ownership and accountability. Why Join Us? • Play a key role in shaping and enhancing innovative product capabilities from concept to production. • Work in a highly collaborative environment that values technical excellence, ownership, and deep customer alignment. • Lead and contribute to high-visibility initiatives, complex deployments, and critical escalations that directly impact customer success. • Drive continuous, data-informed product improvements using real-world telemetry and direct customer feedback. If you’re passionate about solving complex problems, working closely with customers, and influencing product direction through data and engineering excellence - we’d love to hear from you!

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. As UI/UX Designer, you will play a critical role in designing intuitive and visually appealing user interfaces for our web & software properties. We are looking for someone who is self-driven, enjoys working with a fast-paced team, and has experience designing dynamic web & software experiences. You will collaborate closely with cross-functional teams including product management, engineering, and customer success to create exceptional user experiences that meet our customers' needs and enhance their interactions with VAST. What you'll do • Break down intricate B2B workflows into intuitive, end-to-end user journeys, from overwhelming configuration to guided, logical steps users can complete confidently. • Design in Figma within a mature design system, tokens, components, and variants. Keeping work aligned with shared patterns, not one-off screens. • Build and iterate interactive prototypes(including AI-assisted tools such as Cursor) to validate flows, states, and edge cases before and after engineering handoff. • Work closely with engineering throughout the lifecycle, including technical discovery, design reviews, implementation QA, and post-ship iteration, at every level from implementation detail to architectural constraints. • Apply product thinking, frame problems around user and business outcomes, prioritize ruthlessly, and connect design decisions to adoption, support burden, and roadmap impact. • Own projects end-to-end— problem framing, information architecture, interaction design, microcopy collaboration, developer-ready specs, and design QA through implementation. • Collaborate as a team and operate independently. Lead your own workstreams while partnering daily with the design team, engineering, and other architects. Requirements Requirements • 5+ years designing software products (B2B/enterprise strongly preferred), with a portfolio showing. Complex applications not only marketing sites or B2C. • Strong product thinking, you ask about goals, success metrics, and tradeoffs before jumping to UI. • Expert in Figma. Components, variants, auto-layout, variables/tokens, library hygiene. • Proven track record partnering closely with engineering at all levels, comfortable in technical conversations about feasibility, constraints, and implementation quality. • Comfort building or contributing to usage, adoption, and support reports to inform prioritization and design decisions. • Self-directed and resilient in a fast-paced environment. Able to take a feature from ambiguity to shipped design, manage parallel initiatives, and deliver under tight turnarounds. • Excellent written and verbal communication. Clear specs, constructive critique, microcopy abilities, and effective advocacy for users and design quality. Preferred • Experience with data infrastructure, storage, networking, cloud, or DevOps products. • Comfort with design tokens and component-based design systems at scale. • Experience with metrics-heavy UIs, charts, time series, operational dashboards. • Familiarity with agile delivery and design QA in continuous release cycles. • Active use of AI in the design workflow, exploration, audits, prototyping. Portfolio should show • At least 2 complex enterprise workflows. (wizards, configuration, admin consoles). • Product reasoning: problem, constraints, tradeoffs, and what changed based on evidence. • Collaboration with engineering, such as iteration after implementation feedback or specs that reflect technical reality. • Bonus: research or metrics that shaped a design decision.

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

Description VAST Data is looking for a Services Operations Center 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 Overview The Services Operations Center (SOC) is a team within Customer Success whose function is to monitor the quality of service of VAST Data clusters deployed in the field, and take the necessary actions in the case of service degradation or outage. The person that works in a SOC is a SOC Operator. This person will be looking at a dashboard of monitored items, and when green lights turn red, they will click on the red light, read a runbook, and endeavor to resolve the issue. If they can fix the problem in 30 mins, they will. If they can not fix the problem, they will declare an ‘incident’ and page in Support who will begin troubleshooting, and begin keeping a timeline of events. If Support can't fix the problem, the SOC Operator will page in R&D. The SOC Operator will 'run' the incident until the issue is resolved. Once resolution occurs, the SOC operator close out ticket, and publish a Preliminary Findings Report in the ticket. All the while, the SOC Operator will provide a play-by-play in the internal slack channel to keep everyone aware of what's happening. Job Description Job Summary: As a SOC Operator, you will be responsible for monitoring and maintaining the health and performance of our fleet of installed clusters. You will work in a 24/7 operations environment, ensuring the availability, reliability, and security of services. This role involves real-time monitoring, incident detection, incident management, incident resolution, and clear written and verbal communication with other teams and stakeholders. Responsibilities: • Monitor clusters using internal monitoring tools to detect and troubleshoot issues promptly. • Respond to alerts and incidents in a timely manner, following standard operating procedures (SOPs) and escalation processes. • Perform initial investigation and diagnosis of problems, escalating complex issues to support or R&D. • Document incidents, including their details, troubleshooting steps, and resolutions in the incident tracking system. • Collaborate with other teams, including Support, R&D, Account teams, and customers to ensure effective incident resolution and communication. • Conduct routine checks and audits to identify potential problems or vulnerabilities. • Assist with the implementation of changes and updates to the infrastructure as directed by team leads. • Participate in shift-based work schedules, including nights, weekends, and holidays, to provide 24/7 coverage in the SOC. • Maintain up-to-date knowledge of storage technologies, industry trends, and best practices. • Adhere to security protocols and ensure the confidentiality, integrity, and availability of network and system data. • Contribute to the development and improvement of SOC processes and procedures. • Provide excellent customer service to internal and external stakeholders during incident resolution and communication. • High school diploma or equivalent; a degree or certification in information technology or a related field is a plus. • Proven experience as a SOC Operator or in a similar network monitoring role is preferred. • Strong understanding of networking concepts, protocols, and technologies (TCP/IP, SNMP, DHCP, DNS, etc.). • Ability to work independently and collaboratively in a team-based environment. • Excellent problem-solving and analytical skills, with the ability to multitask effectively. • Good communication skills, both written and verbal, to interact with technical and non-technical stakeholders. • Willingness to work in a 24/7 shift-based environment, including nights, weekends, and holidays. • Detail-oriented and committed to maintaining accurate documentation. • Demonstrated commitment to continuous learning and self-improvement. Note: This job description is intended to provide a general overview of the responsibilities and requirements for the SOC Operator role. The specific duties and qualifications may vary depending on the organization and its network infrastructure.

Description VAST Data is looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI — shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work. This is a **cross-functional, company-wide role**. You won't be embedded in a single product team — instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization. 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. What You'll Do: - Design, build, and operate LLM-powered applications, agents, and workflows end-to-end — from prototype to production. - Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient. - Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows. - Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems. - Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities. - Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack. Requirements Engineering Foundations: - Strong Python skills- you write clean, idiomatic, well-tested code and understand the language deeply. - Hands-on experience using coding agents(Cursor, Claude Code, GitHub Copilot, or similar) to build complex software systems. You know how to delegate effectively to AI assistants and review their output critically. - Experience with multiple database paradigms- both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB, or similar). You can choose the right tool for the job. - Experience designing and integrating with third-party APIs- REST and gRPC. Comfortable building robust clients, handling auth, retries, rate limits, and schema evolution. - Production experience with Docker and Kubernetes- containerizing services, writing manifests, and debugging deployments. - Strong Linux fundamentals- confident in bash and the terminal; you can navigate, script, and troubleshoot a server without reaching for a GUI. - Experience building cloud-native tools on AWS, GCP, or Azure (compute, storage, queues, serverless, IAM). AI / LLM Expertise: - Solid understanding of what an LLM is and how it works- tokenization, attention, context windows, sampling, and the practical implications of each for system design. - Strong grasp of modern patterns for integrating LLMs into real workflows, including RAG, MCP (Model Context Protocol), vector databases, agents, tool use, and context engineering- with hands-on experience building with several of them. - Production experience implementing LLM-powered systems end-to-end, using relevant tools and frameworks (e.g. LangChain, LlamaIndex, LangGraph, Haystack, Pydantic AI, vector stores like Pinecone/Weaviate/pgvector, observability tools like LangSmith or Langfuse). - Solid foundation in core ML concepts; embeddings, evaluation, overfitting, generalization, and how classical ML relates to and differs from modern LLM-based approaches. Nice to Have: - Experience fine-tuning or distilling open-source models. - Contributions to open-source AI/ML projects. - Experience with streaming, real-time systems, or low-latency inference. - Familiarity with prompt evaluation frameworks and LLM-as-judge methodologies. - Background in distributed systems or high-scale backend engineering. What We Look For: - A builder's mindset; you ship, measure, iterate, and don't get stuck in analysis. - Comfort with ambiguity; LLM systems are non-deterministic and the field moves weekly. You navigate that with curiosity rather than frustration. - Strong communication; you can explain trade-offs to engineers, product managers, and executives alike. - Pragmatism; you know when to reach for a 200-line script and when to invest in proper infrastructure.

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: • Proficient in C/C++ • At least 10 years of experience in file and/or object storage product hands-on development • Deep understanding of Linux/Windows internals • Strong familiarity with NFS/SMB file protocols • Familiarity with TCP and/or RDMA technologies is a strong plus • Able to create and communicate the 'big picture' in a clear way • BSc/MSc degree in Computer Science, Engineering or equivalent

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

Description 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.