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We are searching for a seasoned Team Leader to lead a multidisciplinary team of engineers in our growing R&D department of the DatAdvantage Cloud group. You will lead the team and manage the execution of the product backlog. Ultimately, you should be able to hold all aspects of feature development within the team in order to maintain functional and stable product features for our SAAS application in accordance with the companys needs.
Responsibilities
Lead a team of 4-6 engineers, both backend and frontend, in an Agile environment
Participate in the entire application lifecycle, from design to production
Work closely with the teams product manager
Collaborate with other teams in curtain features or capabilities
Conduct design and code reviews, Mentor and be a focal point for the team
Be aligned with the team technical Needs and capabilities
Gather and address technical and design requirements.

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 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 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 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.

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

We are looking for a Cloud Security Researcher.
Responsibilities:
Research for new security issues/vulnerabilities in Cloud Environments & SaaS Applications
Write proof-of-concept, threat detections, and analytical algorithms
Analyze logs and behavior of user activities on Cloud Environments & SaaS Applications
Hunt threat actors & insider threats
Collaboration with R&D groups within the company to implement your latest research
Evaluate and recommend steps to harden customer's Cloud Environments & SaaS Applications
Optimizing existing algorithms to reduce false positives and increase the value of our products
Writing cyber security oriented blogs and publications
Follow and Evaluate new security threats, attack vectors, and technologies

We are looking for a Cloud Security Research Team Leader.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities:
Team Leadership
Lead and mentor a team of top notch cloud security researchers.
Foster a culture of innovation, collaboration, and excellence within the team.
Provide technical guidance and support to team members.

Were growing and we need people who are experienced in devops positions to help us grow faster and bigger.

We expect this position to be taken by someone who is ready to tackle big production systems and wants to learn what it takes to scale a system greatly, manage it, maintain it, and keep it operational at all times.

This includes, but is not limited to, suggesting, planning and executing tasks that will help achieve this goal.

Key Responsibilities:
Cloud Infrastructure Management: Provision, manage, and optimize resources across Azure (preferred), AWS, and GCP, ensuring high availability, cost-efficiency, and performance.
Kubernetes Orchestration: Architect and operate advanced Kubernetes environments both managed (AKS, EKS, GKE) and on-prem (RKE, Rancher, OpenShift).
CI/CD Engineering: Develop and manage robust CI/CD pipelines using Bitbucket Pipelines, Argo Workflows, and Jenkins, automating build-test-deploy workflows.
Monitoring & Logging: Implement and manage monitoring systems with Prometheus, Grafana, and centralized logging with ELK/EFK stacks.
Infrastructure Automation: Leverage Terraform, Ansible, and scripting (Python/Bash) to build and manage infrastructure as code (IaC).
On-Premise and Air-Gapped Deployments: Architect and support isolated environments using local DNS (PowerDNS), registries (Harbor), GitOps, and secure deployment practices.
Security & Compliance: Implement IAM policies, secrets management (Vault), encryption, and secure software delivery pipelines.
Documentation & System Design: Author detailed technical documentation including architectural blueprints, SOPs, and disaster recovery plans.
Collaboration & Mentorship: Work cross-functionally with developers, product, and QA teams; mentor junior DevOps engineers; and drive a culture of excellence.
Customer Engagement: Participate in technical discussions and workshops with enterprise clients to support onboarding and production success.