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We are looking for an experienced Python Developer to join our growing DatAdvantage Cloud group. You will be responsible for the server-side of our web applications.
If you have excellent programming skills and a passion for developing applications or improving existing ones, we would like to meet you.
As a Back-end developer, youll work closely with our engineers to ensure system consistency and improve user experience.
Ultimately, you should be able to develop and maintain functional and stable web applications to meet our companys needs.
Responsibilities:
Participate in the entire application lifecycle, focusing on coding and debugging
Write clean code to develop functional web applications
Troubleshoot and debug applications
Perform UI tests to optimize performance
Manage cutting-edge technologies to improve legacy applications
Collaborate with Front-end developers to integrate user-facing elements with server-side logic
Gather and address technical and design requirements
Provide training and support to internal teams
Build reusable code and libraries for future use
Liaise with developers, designers, and system administrators to identify new features
Follow emerging technologies

We are seeking a skilled PySpark Backend Engineer to join our expanding team dedicated to developing cutting-edge cybersecurity products from the ground up.
If you possess exceptional programming skills and have a passion for creating new applications or enhancing existing ones, we would love to meet you.
Responsibilities:
Design and implement backend logic using PySpark within Databricks, focusing on data processing using Spark Structured Streaming.
Develop and maintain microservices and backend components in Python and C#, deployed in Kubernetes environments.
Collaborate with product managers and backend teams to translate business requirements into Spark-based logic and services.
Optimize Spark jobs for performance, reliability, and cost-efficiency in a cloud-native environment (Azure).
Own features end-to-end: from refining requirements with product managers, through design and implementation, to deployment and support.

We are looking for a hands-on, detail-oriented, and highly motivated Subsidiaries Controller to take ownership of the accounting and financial reporting of our global subsidiaries.
This role is key to ensuring accurate financial reporting, compliance with local and US GAAP requirements, and maintaining consistency and control across our international operations.
The ideal candidate is a strong technical accountant with global exposure, capable of working independently while partnering effectively with HQ Finance, Tax, and external advisors.
Responsibilities:
● Prepare quarterly and annual financial statements for subsidiaries, ensuring accuracy and compliance with local GAAP and corporate policies.
● Support consolidation processes by ensuring timely and accurate subsidiary submissions.
● Review journal entries, account reconciliations, and intercompany balances.
● Manage the statutory audit process for international subsidiaries.
● Coordinate with the tax team and external advisors to ensure timely filings and tax compliance.
● Maintain transfer pricing documentation and support related intercompany accounting.
● Ensure adherence to internal controls and accounting standards (US GAAP and local GAAP).

We are seeking an experienced and highly driven Senior Hardware NPI Program Manager to lead the successful introduction of next-generation hardware products from concept through volume production. In this role, you will partner cross-functionally with Hardware Engineering, Operations, Product Management, and Quality teams to ensure flawless execution of product launches. The ideal candidate has a proven track record of managing complex hardware programs, driving schedules and deliverables across global teams, and enabling a seamless transition from development to scalable manufacturing. There will also be opportunities to manage internal HW,SW and Operational projects with partners.
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.
we are 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, our company 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 company ronauts 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 companys growth and at a pivotal point in computing history.
Key Responsibilities
Own and drive the end-to-end NPI program lifecycle for hardware products, from concept through ramp to sustaining to EOL
Develop, manage, and track detailed project plans, schedules, risks, and dependencies across multiple functions and suppliers
Partner with Engineering to translate product requirements into manufacturable designs and processes
Coordinate with Supply Chain, Manufacturing, and Quality to ensure suppliers and factories are ready for builds and scale
Lead cross-functional meetings, program reviews, and executive updates to communicate status, risks, and recovery actions
Proactively identify program risks, define mitigation strategies, and drive accountability for execution
Ensure manufacturing readiness by leading build events (EVT, DVT, PVT, MP) and ensuring exit criteria are met at each stage
Align stakeholders across engineering, operations, and customer support for smooth product release into the field
Continuously improve NPI processes and best practices to increase efficiency and scalability.

we are looking for a S&OP & MRP Analyst to join our growing team!
This is a great opportunity to be part of the fastest-growing infrastructure company in history. In just a few short years, weve shaken up the industry by challenging traditional architecture models and introduced a revolutionary set of storage possibilities through our Universal Storage platform. With the advent of heavy growth in AI cloud infrastructure, we are perfectly positioned to act as the platform to power AI and deep learning in modern data centers and clouds.
Our success has been built through incredible leadership and motivated employees who want to leverage their skills and experiences to make a real impact. This is an opportunity to be a key player at a pivotal time in our companys growth.
Come join the disruption, make your mark, and be a part of the amazing team introducing the new era of data storage for the growing AI market!
About the Role:
This is a critical planning role that requires strong attention to detail, cross-functional collaboration with Supply Chain, Materials, and Sales, and the ability to take multiple concrete and ambiguous perspectives and data points to update existing planning models and build up ad-hoc planning models.
Using financial targets, historical run rates, inventory data, and sales opportunity leads - generate and publish monthly product demand forecasts for our companys integration partners.
Maintain and analyze our companys integrator sites inventory data on an ongoing basis
Drive planning analyses and recommend strategies for component/product EOL scenarios, product transitions, and risk buys
Own generating, managing and reporting the monthly demand forecast for Services inventory
Present updates and recommended actions to Operations executive management team on a weekly basis.
Identify, create, and implement new planning processes and models.
Ability to design & implement cross functional, cross org S&OP processes & collaborating with data & IT groups for implementing new services & solutions.

We are looking for a ML Engineer.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities:
Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments.
Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows.
Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features.
Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost.
Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks.
Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates.
Partner with data scientists, cybersecurity researchers and product teams to evaluate and refine ML-driven capabilities.
Conduct experiments and benchmark results in fast-paced, data-intensive environments.

We are looking for a highly skilled and data-driven Senior Supplier Quality Engineer to join our Operations team. This role will closely work with Hardware Engineering, Customer Support, Manufacturing Engineering and Procurement to drive alignment of our quality roadmap and key initiatives. You will be responsible for analyzing failure data, driving root cause analysis with suppliers, and leading projects to improve product quality and their manufacturing processes. The ideal candidate will have strong analytical skills with a deep rooted structured problem-solving background and show proven experience in closed loop failure analysis resolution and supplier quality metric tracking.
Key Responsibilities:
Hardware & Electronics Knowledge: Understanding of PCB, components, connectors, cables, and system-level hardware
Failure Analysis & Root Cause Investigation: Analyze failure data from various sources (e.g., testing, production, field data) to identify trends, patterns, and root causes of hardware failures in our data storage products. Quality tools and methodologies
FMEA (Failure Modes & Effects Analysis)
8D / RCCA (Root Cause Corrective Action)
​​Supplier Relationship Management: Ability to influence, negotiate, and drive accountability with suppliers
Process Improvement & Projects: Lead projects to design, implement, and validate improved testing protocols, manufacturing processes, and quality assurance measures to prevent future failures.
Reporting & Documentation: Create and maintain detailed failure analysis reports, root cause analysis documents, and process improvement plans. Present findings and recommendations to senior leadership.
Quality Metrics & KPIs: Develop, track, and report on key quality metrics (e.g., defect rates, yield, reliability) to monitor product quality and identify areas for improvement.
Cross-Functional Collaboration: Work with customer support, engineering, and quality teams to ensure alignment on quality goals and continuous improvement initiatives.
Supplier Audits - Lead quality audits at supplier sites as needed to ensure supplier quality practice.
Project Management: Coordinating supplier corrective actions and monitoring closure on time.

We are seeking a skilled ML Engineer to design, build, and deploy advanced ML solutions that drive analytics, anomaly detection, and data classification across enterprise-scale environments.
This role will focus on developing and optimizing models, including LLMs and prompt engineering pipelines, and ensuring seamless integration into production workflows spanning cloud-native, on-premises, and Databricks ecosystems.
Key Responsibilities :
Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments.
Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows.
Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features.
Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost.
Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks.
Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates.
Partner with data scientists, cybersecurity researchers and product teams to evaluate and refine ML-driven capabilities.
Conduct experiments and benchmark results in fast-paced, data-intensive environments.

We are seeking an experienced, proactive, and highly organized Office Manager to join our dynamic team to take full ownership of day-to-day office operations and have comprehensive responsibility for the daily operation of the office, providing administrative support, and managing a pleasant and efficient work environment.
This role is perfect for someone who enjoys working with people, passion about welfare activities and truly values creating a supportive and comfortable workplace experience for others.

We are looking for a Java Software Engineer- Privacy.
Responsibilities:
Design, develop, and maintain Java-based & .Net based microservices
Ensure backend components are high-performing, stable, and scalable across cloud environments
Collaborate with product managers and cross-functional engineering teams to deliver integrated solutions
Write and maintain clean, well-tested, and secure code following industry best practices

We are looking for a magician. Someone who has the ability to create a mixin of scale data and complex UI.
You know who you are, creating (Angular) components for the last 2 years (minimum), sleeping with CSS and you think life is all about good Karma.
While Varonis is not that small (which has its huge advantages), we can assure you that you will be heard and that you will create an impact.
Frontend engineers Join us! We make the world more pretty.
As a Frontend Engineer, You Will:
Improve your skills and learn from top-notch engineers
Develop Varonis near real-time analytics web application
Tackle complex problems and find creative ways to solve them
You will explore new technologies, libraries, and methodologies; and integrate them into our code base.
Write using code patterns and clean code.

Being a worker is about being your authentic self. We celebrate individuality and welcome the unique qualities that make you, you. Whether youre bubbly, shy, precise, funny, bold, or anything in between, were ready to embrace your strengths and help you do your best work.
Our HR platform is intuitive, data-driven, and designed for todays workplace: global, remote, and collaborative.
Team Leadership and Development:
Lead, mentor, and empower the EMEA CS Solution Architect team, fostering collaboration and professional growth.
Create clear career development pathways for team members, focusing on skill-building and leadership readiness.
Strategic Customer Consultation:
Guide the team in delivering high-value, strategic consultations to the Professional Services and Customer Success teams.
Oversee the creation of scalable frameworks and best practices to ensure consistent delivery excellence.
Product Impact and Insights:
Partner with Product, CXE, and CS leadership to amplify the Voice of the Customer (VoC) in roadmap planning.
Facilitate the teams role as solution engineers, providing cross-module and cross-platform expertise.
Operational Excellence:
Collaborate to establish and optimize internal processes.
Monitor team KPIs and SLAs, ensuring timely and effective resolution of consultations and escalations.
Cross-Functional Collaboration:
Collaborate with multiple stakeholders such as: Product Enablement, CS Operation and Product to drive data-driven decision-making,
Act as the EMEA CS Solution Architect representative in global discussions, ensuring regional needs and insights are addressed.

Being a worker is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
What will you do?
Own a portfolio of 2535 enterprise (large) accounts ( both Israel & global clients) and deliver a high-touch, strategic customer success approach.
Build and execute tailored customer success plans aligned with business objectives, adoption milestones, and measurable outcomes.
Lead key customer engagements including Executive Business Reviews, roadmap alignment, technical enablement, and account planning sessions.
Champion platform adoption through multithreaded stakeholder engagement and position our company as a strategic partner in business transformation.
Become a trusted advisor by deeply understanding customer goals and driving long-term value through proactive success planning.
Collaborate cross-functionally with Product, Sales, Marketing, Services, and Development teams to represent the voice of the customer.
Support growth by identifying upsell and cross-sell opportunities, partnering with Account Managers on deal strategy and Renewal Managers on retention planning.
Monitor customer health using data-driven insights to mitigate churn risks and sustain high levels of customer satisfaction and net retention.
Promote customer advocacy by aligning platform value to strategic outcomes and fostering long-term relationships.
Maintain detailed and up-to-date account documentation, including stakeholder maps, strategic success plans, and engagement materials.

We are looking for a Data Platform Engineer.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Key Responsibilities:
Design and implement scalable data processing pipelines using Azure Databricks and other modern data platforms to power real-time analytics and insights.
Push boundaries by pioneering new technologies and stretching existing ones to their limitsbe a trailblazer in data innovation.
Design, build, and maintain scalable data processing and analytics infrastructure and pipelines, optimizing for performance and cost efficiency.
Collaborate cross-functionally with software engineering, product, and research teams to understand data needs and ensure data solutions meet business requirements.
Engage with strategic customers, ensuring our data solutions meet high standards and deliver measurable value in real-world environments.

We are looking for a Data Analytics Engineer.
What were looking for:
Analysis and optimization of raw/metadata according to the company requests
Development of dashboards, KPIs and metrics
Someone to come up with new ways to use our data to create value for our users
Someone to bring insights and suggestions to Product Managers, Sales, Customer Success, Management by conducting deep analysis and research
Ability to analyze and interpret needs, translating these needs into solutions and coordinate internal and external resources to accomplish results.
Work with our engineering teams to improve the visibility, serviceability, and quality of our product
Monitoring customers env. logs and product metrics to alert about changes/issues
Monitor customers on-prem and Cloud production environments
Collaborate with the internal R&D team to automate tasks wherever possible and implement a monitoring strategy to provide rapid feedback and diagnostics.
Create relationships with other departments, including Sales, Product Management, Engineering, and Customer Success, to make sure we provide services with high availability and superior performance for all our customers.
Familiarity and/or implementation experience with tracking and data collection techniques